Founder and Director
Zhe Sage Chen
Zhe S. Chen is a principal investigator at the New York University School of Medicine, where he directs the Computational Neuroscience, Neuroengineering and Neuropsychiatry (CN3) Laboratory. He is also a faculty member of the Training Program of Computational Neuroscience at NYU and an investigator of the NYU Neuroscience Institute. His research areas focus on computational neuroscience, neural engineering, data science and machine learning for translational neuroscience. Learn more
Guanghao received his PhD in Biomedical Engineering from Zhejiang University in 2019. His research interests are neural coding/decoding and BMI.
Zhenfu received his PhD in pattern recognition and intelligent system (with focus on brain signal processing) from the South China University of Technology, Guangzhou, China. His research interests include Brain-Machine Interface, EEG signal processing, and machine learning.
Shuo received his PhD in Chemistry and Biotechnology from the University of Tokyo. He was a JSPS (Japanese Society for the Promotion of Science) postdoctoral fellow at the RIKEN Brain Science Institute, and was a Human Frontier Science Program (HFSP) Postdoctoral Fellow at the University of California, Berkeley. His current research fields are systems and computational neuroscience.
Jonathan Douglas Gould
Jonathan is an NYU undergraduate student in the Neural Scicence program. He is interested in computational neuroscience, and intends to study it in graduate school.
Xiaohe is an NYU master student in the Courant Institute, majoring in Computer Science. He has background in Deep Learning and Software Engineering. His research interests include Computational Neuroscience and Machine Learning. And he currently intends to pursue a PhD position in these fields.
Logan is an NYU undergraduate student studying Neural Science/ Music double major. His research interests include computational neuroscience.
David graduated from Duke University, summa cum laude, and with high distinction in mathematics for his thesis on music and deep learning. He is very interested in and has experience in using computational and quantitative approaches to solve problems in biomedicine and healthcare. In the future, he hopes to be a physician-scientist, pursuing a career as both a clinician and researcher. Outside of medicine and research, David is also an avid pianist and has performed professionally at Carnegie Hall. In his spare time, he also enjoys reading, running, and spending time with others.
Aaron is an undergraduate student at NYU Tandon School studying Computer Science. He is also a member of the NYU Varsity swim team where he competes in breaststroke, butterfly, and IM. His interests include computational biology and philosophy, and hopes to pursue an MD after college.
Milton is an undergraduate student studying computer science and following the premedical track at NYU. He is very interested in the intersection of healthcare and technology, particularly in the ways machine learning models can improve the effectiveness of treatment and prevent the onset of disease. He is also very interested in entrepreneurship and has founded a digital health startup.
Alumni and Visiting Students
Prathamesh (Param) Kulkami
Prathamesh Kulkarni received his MS, PhD in Electrical Engineering from University of Houston in 2014 specialized in applications of machine learning for biomedical data from the University of Houston. He worked as a Computer Vision Engineer (2014-2016) in the field of medial informatics in Mountain View, California. His research interests are computational neuroscience and medical informatics. His work focus on developing machine learning tools for interpreting EEG data and on scalability of deep learning algorithms to big data analysis applied to medical images.
Sile (Silas) Hu
Sile was a visting PhD student from Zhejiang University. His research interests mainly focus on embeded system developement, brain machine interface, and biomedical signal processing. He was working on accelerating hippocampus decoding on GPU and building a real-time BMI system for acute pain detection.
Zhengdong was a PhD student from Zhejiang University, and received his Bachelor Degree in Electrical Engineering and Automation (2012) from Zhejiang University, Hangzhou, China. His research interests include embedded systems, computational neuroscience and Brain-Machine Interface.
Xinling was a visiting PhD student from Zhejiang University and received a fellowship from the China Scholarship Council (CSC). Her research interests are the complex network and its applications to neuroscience.
Liang was visiting PhD student from East China Normal University in Shanghai. He has a background of physics and is currently interested in neuroscience. His main interest is the formation, representation and transformation of memory, and the neural mechanisms behind these processes. He currently working on the information decoding by using multi-channel local field potentials.
David received his BS in Neuroscience, with minors in chemistry and mathematics, from the University of Pittsburgh in 2016. He was as a post-baccalaureate fellow in the Laboratory of Biological Modeling at the NIH in Bethesda, Maryland from 2016 to 2017. David is currently a member of the Class of 2021 at the New York University School of Medicine. His research interests include integrative physiology, computational neuroscience, and data science as it relates to medicine. His long-term goal is to help translate computational approaches into novel therapies for diseases that remain difficult to treat.
Bassir graduated summa cum laude with his BS in Physics at Hofstra University in 2015, where he did research in theoretical quantum mechanics and computational physics. He is currently a medical student at NYU School of Medicine, and plans a career as an academic physician. His interests include computational neuroscience and functional neurosurgery.
Apoorva Sagarwal J
Apoorva was a master student in computer science at New York University Tandon School of Engineering. Her research interests are machine learning for neuroscience and biomedicine applications. Her master thesis research project focused on the human EEG analysis and brain machine interface.
Alfred was a master student in NYU Courant Institute of Mathematical Sciences. He is interested in statistical and machine learning and their neuroscience, engineering or medical applications.
Amartya was an NYU master student in the Courant Institute of Mathematical Sciences, majoring in mathematics. He has a background in Econometrics & Game Theory, in addition to an Undergraduate Degree in Mathematics. His interests lie include the potential applications of machine learning and mathematical modelling to problems in neuroscience and physical sciences.
Helen was an undergraduate student at NYU, majoring in biochemistry and minoring in physics. She is planning to attend medical school and train in neurology. She received undergraduate research scholarship under the Training Program in Computational Neuroscience (TPCN) at NYU. Her undergraduate thesis included research using computational modeling, machine learning and computer programming.
Crist is a NYU undergraduate student majoring in Neural Science. His academic interests broadly includes computational neuroscience, machine learning, addiction, pain and time perception.
Robert received his BS in Biology from Stony Brook University (2018). His research interests include integrative physiology and data science. He is currently doing electrophysiology and BMI experimentss. He is planning to apply for medical schools and become a physician.
Prashanth is an undergraduate student at NYU studying Applied Mathematics and Computer Science. He is planning to attend graduate school to earn a PhD in mathematics with a focus on computational modeling. He has previously worked on several modeling problems, including that of the noisy neuronal dynamical system governing sleep-wake bouts in adolescent rats. He is particularly interested in decision-making related to belief in propositional statements.
Haohan is a Master student majoring in computer science at NYU. He received his BS in computational statistics, with minors in psychology and computer science, from UC Davis in 2018. His research interests include computational neuroscience, neural network and deep learning.
Akhila Devi Devabhaktuni
Akhila was a master student majoring in Data Science at SUNY Buffalo. Her research interests include computational statistics, neural networks and deep learning. Her long-term goal is to continue research into design of neural networks that can be extended beyond neuroscience. Akhila is currently a PhD student in computer sciencer at the University of Georgia.
Taitea is a master student majoring in Biomedical Informatics program at NYU Schoolo of Medicine. She has a BS in Physiology from the University of Washington. She has worked in a BMI project in the setting of epileptic patients requiring resection surgery. Her current research interests are computational neuroscience and health informatics.
Erik received his BS from Cornell University (2009). His research interests include studying neurophysiology in the context of pain via optogenetics, in vivo electrophysiology, and in vivo pharmacology. His long-term goal is to become a Pain Medicine physician.
Eric J. Robinson
Eric received his BA in Mathematics and Psychology from Williams College in 2013. He worked at Epic Systems (2013-2015), completed premed post-baccalaurate studies at Columbia University in 2018. His research interests include machine learning and health informatics.
Shizhao (Ashley) Liu
Ashley was a senior undergraduate student majoring in Biomedical Engineering from Tsinghua University. Her research interests include computational neuroscience and neural engineering. She is currently a PhD student at the University of Rochester. [Github]
Jianping was an undergraduate student from Beijing Jiaotong University, majoring in computer science and technology. His research interests include computer programming, neural networks, deep learning, and single-chip.
Qianning was a visiting undergraduate student from the University of Science and Technology of China, majoring in biophysics. His research interests include computer programming, machine learning, and brain machine interface.
Gabriel was a visiting undergraduate student from Oxford University, United Kingdom, with a major in Physics. He is interested in studying computatinonal neuroscience.
Yuru (Kristen) Song
Kristen was a visiting undergraduate student from the University of Science and Technology of China, majoring in space physics. Her research interests are theoretical and computational neuroscience. She is now at the University of California, San Diego.
Shreeya was a visiting undergraduate student from Birla Institute of Technology and Science Pilani, India, majoring in Computer Science and Economics. Her research interests broadly include machine learning, computer vision, deep learning, and their applications in bioinformatics and neuroscience.
Mingchen was a visiting undergraduate student from Nanjing University, majoring in biophysics. Her research interests broadly include computational neuroscience, and modeling of complex neural networks. She is now a PhD student studying at Duke University.
Mengyu was a visiting undergraduate student majoring in Physics at the Nanyang Technological University, Singapore. Her research interests include systems and computational neuroscience, the applications of nonlinear dynamics and machine learning to neuroscience. She is now a PhD student in Neuroscience at the Johns Hopkins University.
Porsha was a visiting undergraduate student majoring in Biological Science (Neurosciences) at the Cardiff University, United Kingdom. Her research interests include sleep and memory.
Kiersten was a visiting undergraduate student at Princeton concentrating in Neuroscience with a minor in computer science. Her research interests broadly include Brain-Machine Interfaces, biomedical devices, and computational neuroscience.
Nick was a visiting undergraduate student at the City University of London. He is particularly excited about applying machine learning and especially deep learning to understand the complexity of biological systems. Outside the lab, Nick plays water polo at the Otter Water polo team.
Neel was a NYU graduate student at the Courant Institute of Mathematical Sciences, with a major in computer science. He graduated from the University of Michigan with a B.Sc. in Neuroscience and a minor in Applied Statistics. His research interests and career goals revolve around Computational Neuroscience.