N.1 Investigators

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Prof. Dean Ho

Director, N.1


Prof Dean Ho is currently Provost’s Chair Professor of Biomedical Engineering and Pharmacology, and Director of the N.1 Institute for Health (N.1) at the National University of Singapore.

Prof Ho and collaborators successfully developed and validated CURATE.AI, a powerful artificial intelligence technology platform based on the field of Phenotypic Personalized Medicine (PPM) to optimize clinical efficacy and safety for several combination therapy indications. He co-led the first in-human trial to personalize and optimize combination therapy for the entire duration of care, an unprecedented achievement. Specifically, his team partnered with leading surgeons to dynamically administer immunosuppressive therapies to prevent liver transplant rejection using CURATE.AI. CURATE.AI-treated patients dramatically outperformed control arm patients across every metric of comparison and were discharged nearly one month earlier compared to control patients (Science Translational Medicine, 2016). He also pioneered the development of nanodiamond platforms for the marked enhancement of efficacy and safety of drug delivery and imaging (Science Translational Medicine, 2011, 2013). Recently, Prof Ho initiated a first in-human clinical trial to validate a nanodiamond-biomaterial device for wound healing applications. Currently, Prof Ho is co-leading multiple oncologic combination therapy studies to dynamically modulate multi-drug regimens with CURATE.AI. These trials have resulted in completely halted disease progression and durable patient responses that far outperformed standard of care approaches.

Prof Ho has appeared on the National Geographic Channel Program “Known Universe” to discuss his discoveries in nanodiamond drug delivery and imaging. His discoveries have been featured on CNN, The Economist, Forbes, Washington Post, NPR and other international news outlets. Prof Ho has served as the President of the Board of Directors of the Society for Laboratory Automation and Screening (SLAS), a 26,000+ member global drug development organization comprised of senior executives from the pharmaceutical and medical device sectors, as well as academic visionaries.


1.     A. Pantuck*, D.K. Lee, T. Kee, P. Wang, S. Lakhotia, M. Silverman, C. Mathis, A. Drakaki, A.S. Belldegrun, C.M. Ho*, and D. Ho*, Modulating BET Bromodomain Inhibitor ZEN‐3694 and Enzalutamide Combination Dosing in a Metastatic Prostate Cancer Patient Using CURATE.AI, an Artificial Intelligence Platform, Advanced Therapeutics, DOI: 10.1002/adtp.201800104, 2018.

2.     Rashid M, Toh TB, Hooi L, Silva A, Zhang Y, Tan PF, The AL, Karnani N, Jha S, Ho CM, Chng WJ, Ho D, Chow EK; Optimizing drug combinations against multiple myeloma using a quadratic phenotypic optimization platform (QPOP); Science Translational Medicine, 2018 Aug 8;10(453).

3.     Zarrinpar, A.; Lee, D.-K.; Silva, A.; Datta, N.; Kee, T.; Eriksen, C.; Weigle, K.; Agopian, V.; Kaldas, F.; Farmer, D.; Wang, S. E.; Busuttil, R.; Ho, C.-M.; Ho, D.*, Individualizing liver transplant immunosuppression using a phenotypic personalized medicine platform. Science Translational Medicine 2016, 8 (333), 333ra49-333ra49. Cover Article

4.     Dean Ho, Katherine Chung-Huei Wang, and Edward Chow, Nanodiamonds: The Intersection of Nanotechnology, Drug Development, and Personalized Medicine, Science Advances, e1500439, 2015.

5. E. K. Chow, X.-Q. Zhang, M. Chen, R. Lam, E. Robinson, H. Huang, D. Schaffer, E. Osawa, A. Goga, and D. Ho*, Nanodiamond therapeutic delivery agents mediate enhanced chemoresistant tumor treatment. Science Translational Medicine 3, 73ra21 (2011).


Dr. Chris Asplund


I am a cognitive neuroscientist, meaning that I explore our amazing cognitive abilities and how they are realized in the brain. To do so, I conduct behavioral experiments, build computational models, and employ functional neuroimaging, seeking to understand attention, working memory, reasoning, and consciousness. I am also an inaugural faculty member at Yale-NUS College in the division of Social Sciences. As a liberal arts college, Yale-NUS focuses on excellent undergraduate education in courses ranging from the humanities to the sciences, active learning in small seminar-style classes, participation in community initiatives, and deep investigation through research. In addition to my primary appointment at Yale-NUS, I have affiliations with the Clinical Imaging Research Centre (CIRC), the Singapore Institute of Neurotechnology (SINAPSE), the Duke-NUS Program in Neuroscience & Behavioural Disorders, and the NUS Department of Psychology.


1.Tamber-Rosenau, B.J., Asplund, C.L., & Marois, R. (in press). Functional dissociation of the inferior frontal junction from the dorsal attention network in top-down attentional control. Journal of Neurophysiology.

2. Yeo, B. T.T., Krienen, F.M. Eickhoff, S.B., Yaakub, S.N., Fox, P.T., Buckner, R.L., Asplund, C.L., & Chee, M.W.L. (2015). Functional specialization and flexibility in human association cortex. Cerebral Cortex, 25: 3654-3672.

3. Asplund, C.L., Fougnie, D., Zughni, S., Martin, J.W., & Marois, R. (2014). The attentional blink reveals the probabilistic nature of discrete conscious perception. Psychological Science, 25(3): 824-831.

4. Asplund, C.L., Todd, J.J., Snyder, A.D., Gilbert, C.M., & Marois, R. (2010). Surprise-induced Blindness: A stimulus-driven attentional limit to conscious perception. Journal of Experimental Psychology: Human Perception & Performance, 36(6): 1372-81.

5. Asplund, C.L., Todd, J.J., Snyder, A.D., & Marois, R. (2010). A central role for the lateral prefrontal cortex in goal-directed and stimulus-driven attention. Nature Neuroscience, 13(4): 507-12.


Dr. Chia-Hung CHEN


Dr. Chen is developing a research program focused on integrative microfluidic platforms for enzyme measurement, single cell assay and bio-analysis. Compared with most current fluidic platforms using gene sequence for diagnosis, microfluidic enzyme assay offers unique advantage in rapid measurement to characterize biological fluids for on-time precision medicine. With the fluidic device development, Dr. Chen aims to investigate novel diagnostic method and therapeutic process of precision medicine. Based on this goal, he currently has four main areas of interest: 1. Microfluidic multiplexed clinical enzyme assays for precision medicine, 2. quantitative single-cell biology via microfluidics, and 3. smart functional hydrogel-based microfluidics. Given his expertise in microfluidic technology, he has collaborated with clinicians/researchers at the National University Hospital of Singapore (NUHS) and Massachusetts General Hospital (MGH) to develop microfluidic devices. One of my projects is now sponsored by an industrial partner, MediaTek, in Singapore and aims to develop a wearable microfluidic sensor for personal care at home. Moreover, I was nominated by the committee in Royal Society of Chemistry (RSC), as an Emerging Investigator in Lab on a Chip.


1. Ultrahigh-throughput Droplet Microfluidic Device for Single-cell miRNA Detection with Isothermal Amplification, S. Guo, W. N. Lin, Y. W. Hu, G. Y. Sun, D. T. Phan and C. H. Chen*, Lab on a Chip, 2018, 18, 1914-1920

2. Heterogeneous multi-compartmental hydrogel particles as synthetic cells for incompatible tandem reactions, H. Tan, S. Guo, D. N. Duy, R. Luo, and C. H. Chen*, Nature Communications, 2017, 8, 663.

3. Single Cell Multiplexed Assay for Proteolytic Activity Using Droplet Microfluidics, E. X. Ng, M. A. Miller, T. Jing, and C. H. Chen*, Biosensors and Bioelectronics, 2016, 81, 408-414.

4. Single Cell Analysis of Leukocyte Protease Activity using Integrated Continuous-Flow Microfluidics, T. Jing, Z. Lai, L. Wu, J. Han, C. T. Lim, and C. H. Chen*, Analytical Chemistry, 2016, 88, 11750–11757.

5. Low-volume multiplexed proteolytic activity assay and inhibitor analysis through a pico-injector array, E. X. Ng, M. A Miller, T. Jing, D. A Lauffenburger and C. H. Chen*, Lab on a Chip, 2015, 15, 1153-1159.


Dr. John Ho


Our group focuses on the development of advanced wireless bioelectronic systems for enhancing human health. Our approach is to improve the ability of bioelectronics to target physiological processes with high spatiotemporal resolution, and then seek to use this precision to treat or diagnose human disease in new ways. Towards this goal, our group makes advances in wireless technology for highly miniaturized bioelectronic devices and demonstrates how these technologies can be used to for precise modulation of neural activity, cancer therapy, and continuous physiological monitoring. 


1.     A. Bansal, F. Yang, X. Tian, Z. Yong, J. S. Ho, "In vivo wireless photonic photodynamic therapy," Proc. Natl. Acad. Sci., USA, 115 (7), 1469-1474 (2018). Featured in NUS News.

2.     D. R. Agrawal, Y. Tanabe, D. Weng, S. Liao, Z. Zhen, Z. Zhu, C. Sun, Z. Dong, F. Yang, H. F. Tse, A. S. Y. Poon, and J. S. Ho, “Conformal phased surfaces for wireless powering of bioelectronic microdevices,” Nat. Biomed. Eng., 1, 0043 (2017). Featured in Editorial and News & Views.

3.     Z. Dong, F. Yang, J. S. Ho, "Enhanced electromagnetic energy harvesting with subwavelength chiral structures," Phys. Rev. Applied, 8, 044026 (2017).

4.     X. Tian, P. M. Lee, J. S. Ho, "Control of wireless power transfer to a bioelectronic device by harmonic feedback," AIP Advances, 8, 095308 (2018). Featured on the front page and in Scilight.

5.     T. Chang, Y. Tanabe, C. C. Wojcik, A. C. Barksdale, S. Doshay, Z. Dong, H. Liu, M. Zhang, Y. Chen, Y. Su, T. H. Lee, J. S. Ho, and J. A. Fan, "A general strategy for stretchable microwave antenna systems using serpentine mesh layouts," Adv. Funct. Mater., 1703059 (2017).    


Dr. Camilo Libedinsky


Selective activation of individual neurons is a cornerstone of our modern understanding of how brain activity relates to cognitive processes, such as perception, attention, memory and decision making. However, understanding neuronal activity in the context of other brain cells (i.e. networks of neurons) is essential to achieve a deeper understanding of brain function. In our lab we record the activity of dozens of neurons simultaneously while animals perform complex behavioral tasks. The goal is to understand information processing in networks of neurons distributed in multiple brain regions.


1.Parthasarathy, A., Herikstad, R., Bong, J. H., Medina, F. S., Libedinsky, C.*, & Yen, S. C.* (2017). Mixed selectivity morphs population codes in prefrontal cortex. Nature Neuroscience, 1-10.
*Equal Contribution

2. Massar, S. A.*, Libedinsky, C.*, Weiyan, C., Huettel, S. A., & Chee, M. W. (2015). Separate and overlapping brain areas encode subjective value during delay and effort discounting. Neuroimage120, 104-113
*Equal Contribution

3. Libedinsky, C., Massar, S. A., Ling, A., Chee, W., Huettel, S. A., & Chee, M. W. (2013). Sleep deprivation alters effort discounting but not delay discounting of monetary rewards. Sleep36(6), 899-904

4. Libedinsky C, Livingstone M. (2011) Role of prefrontal cortex in conscious visual perception. Journal of Neuroscience 31(1):64-9

5. Libedinsky C, Savage T, Livingstone M. (2009) Perceptual and physiological evidence for a role for early visual areas in motion-induced blindness. Journal of Vision 9(1):14.1-10


Prof. Bin LIU


Prof. Liu Bin is currently Provost’s Chair Professor and the Head of the Department of Chemical & Biomolecular Engineering at NUS. Prof. Liu obtained her Ph.D. degree from the National University of Singapore (NUS) in 2001 (supervisor: Prof. Yee-Hing Lai) with research focus on organic semiconductors for light-emitting diodes. During 2002-2005, she worked as a postdoctoral fellow and later as an assistant researcher with Prof. Alan Heeger and Prof. Gui. Bazan at the University of California, Santa Barbara, where she extended her research directions into chem/biosensors. Prof. Liu joined NUS in November 2005 as an assistant professor. Her overall research goal is to design multifunctional materials with optimized architecture and performance for applications in bionanotechnology and sustainable energy. She was promoted to Associate Professor in 2010 and named Dean’s Chair Professor in 2014. She also has a secondary employment at the Institute of Materials Research and Engineering, A*Star.

Prof. Liu is well recognized for her contributions in polymer chemistry and the application of polymers for sensing, imaging and solar cells. She is a recipient of many prestigious awards, including NUS Young Investigator Award (2006), Singapore National Science and Technology Young Scientist Award (2008), L’Oreal-Singapore Women in Science National Fellowship (2011), NUS Young Researcher Award (2013), Asia Rising Star, 15th Asia Chemical Congress (2013), Invited lecturer of Asia Excellence, Japanese Polymer Society (2013), Dean’s Chair Professor (2014), and Singapore National Institute of Chemistry (SNIC)-BASF Materials Award (2014). Recently, she has been identified as one of the top 1% highly cited researchers in Materials Science and was named among "The World's Most Influential Scientific Minds: 2014" by Thomson Reuters.


1.A Light-Up Probe with Aggregation-Induced Emission for Real-Time Bio-orthogonal Tumor Labeling and Image-Guided Photodynamic Therapy
Hu, F.; Mao, D.; Kenry, et al.Angew. Chem. Int. Ed. Engl.

2. Aggregation-Induced Emission (AIE) Dots: Emerging Theranostic Nanolights
Feng, G.; Liu, B.Acc. Chem. Res. 

3. Aggregation-Induced Emission Probe for Specific Turn-On Quantification of Soluble Transferrin Receptor: An Important Disease Marker for Iron Deficiency Anemia and Kidney Diseases
Zhang, Ruoyu; Sung, Simon H P; Feng, Guangxue, et al.Anal. Chem. 

4. Artemisinin and AIEgen Conjugate for Mitochondria-Targeted and Image-Guided Chemo- and Photodynamic Cancer Cell Ablation
Feng, Guangxue; Liu, Jie; Zhang, Chong-Jing, et al.ACS Appl Mater Interfaces 

5. Caspase-1 Specific Light-Up Probe with Aggregation-Induced Emission Characteristics for Inhibitor Screening of Coumarin-Originated Natural Products
Lin, Hao; Yang, Haitao; Huang, Shuai, et al.ACS Appl Mater Interfaces 


Prof. Xiaogang LIU


My general interests encompass supramolecular chemistry, materials science, and nanotechnology, which are focused on developing fundamental methodologies for synthesis and characterization of optically active nanomaterials, exploring the basic relations between their structures and physical/chemical properties, and extending their applications to the fields of volumetric display, biomedical imaging, molecular sensing, optogenetics, anti-counterfeiting, and potentially many others.


1. Q. Chen, J. Wu, X. Ou, B. Huang, J. Almutlaq, A. A. Zhumekenov, X. Guan, S. Han, L. Liang, Z. Yi, J. Li, X. Xie, Y. Wang, Y. Li, D. Fan, D. B. L. The, A. H. All, O. F. Mohammed, O. M. Bakr, T. Wu, M. Bettinelli, H. Yang, W. Huang, X. Liu, “All-Inorganic Perovskite Nanocrystal Scintillators,” Nature 2018, 561, 88.

2. S. Chen, A. Z. Weitemer, X. Zeng, L. He, X. Wang, Y. Tao, A. J. Y. Huang, Y. Hashimotodani, M. Kano, H. Iwasaki, L. K. Parajuli, S. Okabe, D. B .L. Teh, A. H. All, I. Tsutsui-Kimura, K. F. Tanaka, X. Liu, T. J. McHugh, “Near-Infrared Deep Brain Stimulation via Upconversion Nanoparticle-medicated Optogenetics,” Science 2018, 359, 679-684

3. X. Qin, X. Liu, W. Huang, M. Bettinelli, X. Liu, “Lanthanide-Activated Phosphors Based on 4f-5d Optical Transitions: Theoretical and Experimental Aspects,” Chemical Reviews 2017, 117, 4488–4527.

4. C. D. S. Brites, X. Xie, M. L. Debasu, X. Qin, R. Chen, W. Huang, J. Rocha, X. Liu*, L. D. Carlos*, “Instantaneous Ballistic Velocity of Suspended Brownian Nanocrystals Measured by upconversion nanothermometry,” Nature Nanotechnology 2016, 11, 851-856.

5. B. Zhou, B. Shi, D. Jin*, X. Liu*, “Controlling Photon Upconversion in Nanocrystals,” Nature Nanotechnology 2015, 10, 924-936.


A/Prof. Mehul Motani


My research lies at the intersection of information theory and data science. Data science is the science of learning from data (Donoho 2015). Information theory is concerned with the fundamental performance limits of data, i.e., data processing, data communications, and data storage. The tools and analysis my group develops have a wide range of applications and span many disciplines, from mathematics to statistics to computing to engineering to medicine.  Specific examples include predictive diagnosis and behavioural incentives for healthcare applications, intelligent transportation systems, and the design and analysis of emerging wireless communication networks.


1.     L. Zhou, V. Tan, and M. Motani, “The Dispersion of Mismatched Joint Source-Channel Coding for Arbitrary Sources and Additive Channels”, IEEE Trans. Inf. Th., accepted Oct. 2018.

2.     L. Zhou, V. Tan, L. Yu, and M. Motani, “Exponential Strong Converse for Content Identification with Lossy Recovery”, IEEE Trans. Inf. Th., Vol. 64, No. 8, Aug. 2018.

3.     Z. Ni, R. Bhat, and M. Motani, “On Dual-Path Energy-Harvesting Receivers for IoT with Batteries having Internal Resistance”, IEEE Internet Things J. (Special Issue on Wireless Energy Harvesting for IoT), Vol. 5, Issue 4, pp. 2471-2752, Aug. 2018.

4.     C. Zhou, J. Yao, and M. Motani, ``Optimizing Autoencoders for Learning Deep Representations from Health Data'', IEEE J. Biomed. Health Inform., accepted July 2018.

5.     C. Zhou, C.K. Tham, and M. Motani, “Learning Decomposable Models for Efficient Distributed Inference over Sensor Networks”, IEEE Trans. Mobile Comp., accepted April. 2018.  

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Dr. Garrick Orchard


Garrick Orchard is a Senior Research Scientist at Temasek Laboratories and SINAPSE at the National University of Singapore. He holds a B.Sc. degree (with honours, 2006) in electrical engineering from the University of Cape Town, South Africa and M.S.E. (2009) and Ph.D. (2012) degrees in electrical and computer engineering from Johns Hopkins University, Baltimore, USA. He was named a Paul V. Renoff fellow in 2007, a Virginia and Edward M. Wysocki Sr. fellow in 2011, and a Temasek Research Fellow in 2015. He received the Johns Hopkins University Applied Physics Lab’s Hart Prize for Best Research and Development Project, and won the best live demonstration prize at the IEEE Biomedical Circuits and Systems conference 2012. His research focuses on developing neuromorphic vision algorithms and systems for real-time sensing on mobile platforms. His other research interests include mixed-signal very large scale integration (VLSI) design, compressive sensing, spiking neural networks, visual perception, and legged locomotion.


1. Yousefzadeh, A.; Orchard, G; Serrano-Gotarredona, T.; and Linares-Barranco, B.; "Active Perception with Dynamic Vision Sensors. Minimum Saccades with Optimum Recognition", Biomedical Circuits and Systems, IEEE Transactions on, vol. 12, no. 4, pp. 927-939, Aug 2018

2. Haessig, G.; Cassidy, A.; Alvarez, R.; Benosman, R.; and Orchard, G.; “Spiking Optical Flow for Event-based Sensors Using IBM’s TrueNorth Neurosynaptic System,” IEEE Trans. Biomedical Circuits Syst., vol. 12, no. 4, pp. 860-871, Aug 2018

3. Cohen, G.; Afshar, S.; Orchard, G.; Tapson, J.; Benosman, R.; and Van Schaik, A.; "Spatial and Temporal Downsampling in Event-Based Visual Classification" Neural Networks and Learning Systems, IEEE Transactions on (TNNLS), vol 29, no. 10, pp. 5030-5044, Jan 2018

4. Padala, V.; Basu, A. and Orchard, G.; “Noise Filtering for Event-Based Asynchronous Change detection Image Sensors on TrueNorth,” Frontiers in Neuroscience vol. 12, pp. 118, Mar. 2018

5. Zhen, X.; Sheng, Y.C.; Orchard, G.; "Event-based Stereo Depth Estimation Using Belief Propagation" Frontiers in Neuroscience vol. 11, pp. 535, Oct. 2017

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Dr. Hongliang Ren


Representing a major paradigm shift from open surgery, minimally invasive surgery (MIS) assisted by robotics and sensing is emerging by accessing the surgical targets via either keyholes or natural orifices. It is challenging to accomplish delicate manipulations due to the constraints imposed by the mode of access, confined workspace, complicated surgical structures and the limited available technologies, particularly in terms of endoluminal curvilinear targeting and curvilinear guidance. Addressing the aforementioned challenges and aiming at the next generation of intelligent and flexible minimally invasive robots, my group focus on intelligent biorobotics research in compliant robotic system development, modeling & control, flexible sensing, human-robot interaction and intelligent navigation, tackling fundamental and technical challenges mainly in the context of medical applications. With the convergence of compliant and flexible robotics, sensing, and mechatronics, we bring the possibility of more curvilinear, adaptive, compact, nonintrusive, and intelligent assistance.


1. Chang, T. H.; Tian, Y.; Wee, D. L. Y.; Ren, H. & Chen, P.-Y*. Crumpling and Unfolding of Montmorillonite Hybrid Nanocoatings as Stretchable Flame-Retardant Skin, Small, 2018 (IF: 8.3)

2. Li, C.; King, N. K. K. & Ren, H*. A Skull-Mounted Robot with A Compact and Lightweight Parallel Mechanism for Positioning in Minimally Invasive Neurosurgery Annals of Biomedical Engineering, Springer, 2018 (IF: 3.4) 

3. Tan, N.; Gu, X. & Ren, H*. (2018), 'Simultaneous Robot-World, Sensor-Tip, and Kinematics Calibration of an Underactuated Robotic Hand with Soft Fingers (in press)', IEEE Access 6(1), 22705--22715. [IF: 3.5]

4. Shi, C.; Li, T. & Ren, H*. (2018), 'A Millinewton Resolution Fiber Bragg Grating-Based Catheter Two-Dimensional Distal Force Sensor for Cardiac Catheterization', IEEE Sensors Journal 18(4), 1539--1546. [IF: 2.5]

5. Sun, D.; Gu, X.; Li, C.; Liao, Q. & Ren, H*. (2018), 'Multilateral Tele-manipulated Robot Hand Control System using Type-2 T-S Fuzzy Logic (In press)', IEEE Transactions on Cybernetics. [IF: 8.8]

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Dr. Raghav Sundar


Dr Raghav Sundar obtained his medical degree from the Yong Loo Lin School of Medicine, National University of Singapore, where his academic distinctions earned him a place in the Dean’s List and the Thambipillai Silver Medal. He topped the country in the Internal Medicine specialty examination obtaining the Master of Medicine (Internal Medicine) and the Gordon Arthur Ransome Gold Medal in Internal Medicine. He was Chief Resident and Chief Senior Resident during his training at the National University Hospital. He subsequently completed his Medical Oncology Senior Residency at the National University Cancer Institute, Singapore (NCIS). His clinical interest is in gastrointestinal cancers. His research interest lies in early phase drug development, immunotherapy, DNA damage repair, and chemotherapy-induced neuropathy. He was awarded the National Medical Research Council Overseas Fellowship Award to undergo fellowship training at the Drug Development Unit, Royal Marsden Hospital, UK. He won the Conquer Cancer Foundation of ASCO Merit Award for his work on developing novel anticancer therapeutics. He holds several grants and has secured over $1,400,000 in grant funding. He has published in high impact peer-reviewed journals including Cancer Discovery and Clinical Cancer Research and designs clinical trials for novel cancer drugs and devices. 

At SINAPSE, he runs a biomedical translational research program along with Dr Aishwarya Bandla which aims to translate devices that deliver non-invasive therapy and diagnostic modalities into clinical applications. Using the principle of “From bedside to bench and back to bedside”, the team has established a comprehensive program. First, clinical areas of unmet research needs are identified, with focus on non-invasive therapies in cancer patients. Bioengineering principles are then applied, using mechanistic and animal models to develop devices. These devices are then tested in clinical trials using healthy subjects as well as cancer patients to validate the hypothesis, including safety and efficacy.


1.Real-time Tumor Gene Expression Profiling to Direct Gastric Cancer Chemotherapy: Proof-of-Concept '3G' Trial. Yong WP, Rha SY, Tan IB, Choo SP, Syn NL, Koh V, Tan SH, Asuncion BR, Sundar R, et al. Clin Cancer Res 2018 2018 Jul 25.

2. Ataxia Telangiectasia Mutated Protein Loss and Benefit From Oxaliplatin-based Chemotherapy in Colorectal Cancer. Sundar R, Miranda S, Rodrigues DN, et al. Clin Colorectal Cancer. 2018 Jun 8.

3. Clinical outcomes of adolescents and young adults with advanced solid tumours participating in phase I trials. Sundar R, McVeigh T, Dolling D, et al. Eur J Cancer. 2018 Jul 16;101:55-61. 

4. Vistusertib (dual m-TORC1/2 inhibitor) in combination with paclitaxel in patients with high grade serous ovarian and squamous non-small cell lung cancer. Basu B*, Krebs MG*, Sundar R*, et al. Ann Oncol. 2018 Jul 17. *Joint first authors

5. Transcriptional analysis of immune genes in Epstein-Barr virus-associated gastric cancer and association with clinical outcomes. Sundar R, Qamra A, Tan ALK, et al. Gastric Cancer. 2018 Jun 18.


Dr. Benjamin TEE


Our group aims to develop core platform technologies that enables massive integration of artificial sensory systems that surpass the human equivalent. Nature ensures survival by endowing complex living organisms with distinct skin sensors that have very high complexity. These structures enable skin sensors, for example, to be highly strain sensitive, and communicate in real time pertinent environment information. Endowing artificial systems with cutting-edge hapto-tactile capabilities could impact several areas such as next generation human-like robotic assistants, immersive virtual reality, smarter human-machine interfaces, wearable healthcare technologies and life-like prosthetics.


1.    Self-Healing Electronic Materials for a Smart and Sustainable Future, Yu Jun Tan, Jiake Wu, Hanying Li, Benjamin C-K. Tee*, , ACS Appl. Mater. & Interfaces, 2018

2.    Soft Electronically Functional Polymeric Composite Materials for a Flexible and Stretchable Digital Future, B. C-K. Tee*, J. Ouyang*, Advanced Materials,1802560 (2018).

3.    A Skin-Inspired Organic Digital Mechanoreceptor, B. C-K. Tee*, A. Chortos*, A. Berndt*, et al., Science, 350, 313–316 (2015).

4.    Continuous Wireless Pressure Monitoring and Mapping with Ultra-Small Passive Sensors for Health Monitoring and Critical Care, Nature Communications, L. Chen*, B. C-K. Tee*, et al

5.    Tunable Flexible Pressure Sensors using Microstructured Elastomer Geometries for Intuitive Electronics, B. C-K. Tee et al., Advanced Functional Materials 24, 5427–5434, 2014

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Prof. Nitish V. Thakor


Nitish V. Thakor is Professor of Electrical and Computer Engineering and Biomedical Engineering at NUS. He maintains his position as a Professor of Biomedical Engineering, Electrical and Computer Engineering and Neurology at Johns Hopkins University in the USA. Dr. Thakor’s technical expertise is in the field of Neuroengineering, including neural instrumentation, nuromorphic engineering, neural microsystems, optical imaging of the nervous system, neural control of prosthesis and brain machine interface and cognitive engineering. He has pioneered many technologies for brain monitoring to prosthetic arms and neuroprosthesis. He is an author of more than 290 refereed journal papers, more than a dozen patents, and co-founder of 3 companies. He is currently the Editor in Chief of Medical and Biological Engineering and Computing, and was the Editor in Chief of IEEE TNSRE from 2005-2011 and presently the EIC of Medical and Biological Engineering and Computing. Dr. Thakor is a recipient of a Research Career Development Award from the National Institutes of Health and a Presidential Young Investigator Award from the National Science Foundation, and is a Fellow of the American Institute of Medical and Biological Engineering, IEEE, Founding Fellow of the Biomedical Engineering Society, and Fellow of International Federation of Medical and Biological Engineering. He is a recipient of the award of Technical Excellence in Neuroengineering from IEEE Engineering in Medicine and Biology Society, Distinguished Alumnus Award from Indian Institute of Technology, Bombay, India, and a Centennial Medal from the University of Wisconsin School of Engineering. He has given more than 50 keynotes and plenary talks, and was the Chair of the IEEE Grand Challenges in Life Science Conference in 2013 and will chair IEEE BIOROB conference in Singapore in June 2016 and the Gordon Conference on Advanced Health Informatics in Hong Kong in July 2016.


1.Fifer M. S., Acharya S., Benz H. L., Mollazadeh M., Crone N. E., Thakor N. V. Toward Electrocorticographic Control of a Dexterous Upper Limb Prosthesis: Building Brain-Machine Interfaces, IEEE Pulse, Vol. 3(1), pp. 38-42, Jan 2012.

2. Andersen R. A., Schieber M. H., Thakor N. V., Loeb G. E. Natural and Accelerated Recovery from Brain Damage: Experimental and Theoretical Approaches IEEE Pulse, pp 61-65, Mar 2012

3. Bazley F. A., Hu C., Maybhate A., Pourmorteza A., Pashai N., Thakor N. V., Kerr C., All A. H. "Electrophysiologal evaluation of sensory and motor pathways after incomplete unilateral spinal cord contusion". J. Neurosurgery: Spine, 03 Feb 2012.

4. Rege A., Thakor N. V., Rhie K., and Pathak A. P., In vivo laser speckle contrast imaging reveals microvascular remodeling and hemodynamic changes during wound healing angiogenesis, Angiogenesis, Vol. 15(1), pp. 87-98, 2012. PMID: 22198198.

5. Rege A., Murari K., Seifert A., Thakor N. V., Multiexposure laser speckle contrast imaging of the angiogenic environment, J. Biomed. Optics, Vol. 16(5): pp. 601-610, 2012. PMCID: 3124539.


Dr. Yi-Chin TOH


The Micro-Tissue Engineering Lab focuses on integrating patient-derived or human stem cells with micro-technologies to engineer human tissue equivalents that can model higher-order biological processes involving multiple cell types, and are scalable for drug testing applications. My approach is to drive technological development that are anchored by clinically relevant human diseases involving interactions between multiple tissues, such as developmental diseases and cancer.  


1.Lor Huai Chong, Huan Li, Isaac Wetzel, Hansang Cho, Yi-Chin Toh*, A liver-immune coculture array for predicting systemic drug-induced skin sensitization, 2018, Lab on a Chip DOI: 10.1039/C8LC00790J

2. Akshaya Srinivasan, Shu Yung Chang, Shipin Zhang, Wei Seong Toh, Yi-Chin Toh*, Substrate stiffness modulates the multipotency of neural crest derived human ectomesenchymal stem cells via CD44 mediated PDGFR signaling, 2018, Biomaterials, 167:153-167

3. Louis Jun Ye Ong, Anik Badhan Islam, Ramanuj DasGupta, Narayanan Gopalakkrishna Iyer, Hwa Liang Leo, Yi-Chin Toh*, A 3D Printed Microfluidic Perfusion Device for Multicellular Spheroid Cultures, 2017, Biofabrication, 9(4):045005

4. Louis Jun Ye Ong, Lor Huai Chong, Lin Jin, Pawan Kumar Singh, Poh Seng Lee, Hanry Yu, Abhishek Ananthanarayanan, Hwa Liang Leo, Yi-Chin Toh*, A pump-free microfluidic 3D perfusion platform for the efficient differentiation of human hepatocyte-like cells, 2017, Bioengineering & Biotechnology, 114(10):2360-2370

5. Yukti Choudhury,  Yi-Chin Toh, Yinghua Qu, Jiangwa Xing, Jonathan Poh, Hui Shan Tan, Ravindran Kanesvaran, Hanry Yu, and Min-Han Tan, Patient-specific hepatocyte-like cells derived from induced pluripotent stem cells model pazopanib-mediated hepatotoxicity. 2017, Scientific Reports 7, Article number: 41238  #co-first author

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Dr. Shih-Cheng YEN


Our research program is focused on two areas: neural coding and neuroprostheses. In the area of neural coding, we are interested in understanding how large populations of neurons in animal models encode and represent information. Our current focus areas are the role of neuronal populations in the prefrontal cortex in working memory and the role of neuronal populations in the hippocampal formation in spatial representations. In the area of neuroprostheses, we are interested in developing implantable systems that are capable of interfacing with the central and peripheral nervous system to monitor, modulate, and restore physiological functions. The areas we work on include electrodes, microchips, wireless power and data transfer, signal processing and decoding, and acute and chronic in vivo small and large animal testing.


1.  W. Y. X. Peh, M. N. Raczkowska, Y. Teh, M. Alam, N. Thakor, and S.-C. Yen, “Closed-loop stimulation of the pelvic nerve for optimal micturition,” J Neural Eng, Sep. 2018.

2. W. Y. X. Peh, R. Mogan, X. Y. Thow, S. M. Chua, A. Rusly, N. V. Thakor, and S.-C. Yen, “Novel Neurostimulation of Autonomic Pelvic Nerves Overcomes Bladder-Sphincter Dyssynergia.,” Front. Neurosci., vol. 12, p. 186, 2018.

3. J. Wang, X. Y. Thow, H. Wang, S. Lee, K. Voges, N. V. Thakor, S.-C. Yen, and C. Lee, “A Highly Selective 3D Spiked Ultraflexible Neural (SUN) Interface for Decoding Peripheral Nerve Sensory Information.,” Adv Healthc Mater, vol. 7, no. 5, p. 1700987, Mar. 2018.

4. A. Parthasarathy, R. Herikstad, J. H. Bong, F. S. Medina, C. Libedinsky, and S.-C. Yen, “Mixed selectivity morphs population codes in prefrontal cortex,” Nat Neurosci, vol. 20, no. 12, pp. 1770–1779, 2017.

5.  R. Herikstad, J. Baker, J.-P. Lachaux, C. M. Gray, and S.-C. Yen, “Natural movies evoke spike trains with low spike time variability in cat primary visual cortex.,” Journal of Neuroscience, vol. 31, no. 44, pp. 15844–15860, Nov. 2011.

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Dr. Thomas Yeo


There is a deluge of data across many scientific disciplines. Future scientific breakthroughs will rely on algorithms to explore these massive data. Our group develops machine learning algorithms to automatically generate scientific discoveries from large-scale datasets comprising thousands of subjects with brain magnetic resonance imaging (MRI), behavioral, genetic and other physiological measures. By exploring large multi-modal datasets, we seek to discover fundamental principles of brain network organization, how brain networks are organized to support cognition and how brain networks are disrupted in mental disorders.


1. Spatial topography of individual-specific cortical networks predicts human cognition, personality and emotion.  Kong R, Li J, Sun N, Sabuncu MR, Schaefer A, Zuo XN, Holmes A, Eickhoff SB, Yeo BTT. Cerebral Cortex, 2019

2. A mechanistic model of connector hubs, modularity and cognition. Bertolero MA, Yeo BTT, Bassett DS, D'Esposito M. Nature Human Behavior, 112: E6798, 2018 

3. Local-Global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI. Schaefer AL, Kong Ru, Gordon EM, Laumann TO, Zuo XN, Holmes AL, Eickhoff SB, Yeo BTT. Cerebral Cortex, 29:3095-3114, 2018

4. Interpreting temporal fluctuations in resting-state functional connectivity MRI. Liegeois R, Laumann TO, Snyder AZ, Zhou HJ, Yeo BTT. Neuroimage 163:437–455, 2017

5. Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease. Zhang XM, Mormino EC, Sun N, Sperling RA, Sabuncu MR, Yeo BTT. Proceedings of the National Academy of Sciences USA, 113:E6535–E6544, 2016