Founder and Director
Zhe (Sage) Chen
Zhe (Sage) 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 South China University of Technology, Guangzhou, China. His research interests include Brain-Machine Interface, EEG signal processing, and machine learning.
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.
Xinling is 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 a 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.
Helen is 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 will include research using computational modeling, machine learning and computer programming.
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.
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.
Alfred is 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.
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. She is planning to apply for PhD program in machine learning. Her long-term goal is to continue research into design of neural networks that can be extended beyond neuroscience.
Jonathan Douglas Gould
Jonathan is a NYU undergraduate student in the Neural Scicence program. He is interested in computational neuroscience, and intends to study it in graduate school.
Mengyu is 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.
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.
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.
Amartya is 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.
Porsha is a visiting undergraduate student majoring in Biological Science (Neurosciences) at the Cardiff University, United Kingdom. Her research interests include sleep and memory.
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.
Apoorva Sagarwal J
Apoorva is 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.
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.
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 is 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 is an 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 is an undergraduate student from Oxford University, United Kingdom, with a major in Physics. He is interested in studying computatinonal neuroscience.
Yuru (Kristen) Song
Kristen is an undergraduate student from the University of Science and Technology of China, majoring in space physics. Her research interests are theoretical and computational neuroscience.
Shreeya is an 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 is an undergraduate student from Nanjing University, majoring in biophysics. Her research interests broadly include computational neuroscience, and modeling of complex neural networks.
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. He also enjoys reading, running, and spending time with others.
Kiersten is an 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 is currently an undergraduate research 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 is 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.