Members

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

Ran received his Ph.D. of ECE from school of engineering in NYU. Before joining the Chen lab, he was a postdoc at University of California, San Francisco. His research interests focus on AI driven brain-computer-interface and computational neuroscience.

Xiaohan received her PhD in Applied Mathematics from South China University of Technology. Her research interests include computational neuroscience, 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.

Lucas is a PhD student in Biomedical Engineering at the Tandon School of Engineering, co-mentored by Dr. Sage Chen and Dr. Katharina Schultebraucks. Prior to attending NYU, Lucas completed dual Bachelor degrees in Electrical and Computer Engineering and Mathematics at the University of Rochester, along with a minor in Psychology. Lucas also completed a Master degree in Biomedical Engineering at Columbia University, with a focus on Neural Engineering, and was awarded the Outstanding Achievement Award. In PhD study, Lucas aims to investigate psychiatric disorders and neural dysfunctions in the area of computational psychiatry.

Xiaohan received her PhD in Applied Mathematics from South China University of Technology. Her research interests include computational neuroscience, machine learning.

Ruicheng is an NYU master student majoring in applied mathematics. He is interested in building functional and mechanistic models of the brain.

Jungwook is a dual degree Masters student at NYU's Graduate School of Art and Science for Biology and the Leonard N. Stern School of Business. He received his A.B. in economics at Princeton University and his research interests include using reinforcement models to better understand pain chronification, BMIs, and decision-making.

Elisha Ishaal is currently a master student at Courant Institute of Mathematical Sciences. His interests are in Bayesian machine learning, reinforcement learning, and neuroscience. Currently, he is working on understanding the hippocampus and entorhinal cortex as a cognitive map for decision making.

Emily is a NYU Master student in Data Science, with research interests in natural language processing, and computational neuroscience.

Rohan got his Bachelor degree in Computer Science from University of Illinois Urban Champion (UIUC). He is now a Master's student in Computer Science, specializing in Machine Learning and Time Series Forecasting. He earned his Bachelor of Science degree in Mathematics and Computer Science from the University of Illinois Urbana-Champaign in 2021. Rohan's research interests encompass Computational Neuroscience (specifically, Manifold Learning and Neural Activity Comparison), Time-Series Analysis for applications in Neuroscience, Finance, and Music, as well as Reinforcement Learning.

Shubham is a driven professional deeply passionate about Artificial General Intelligence (AGI), Multimodal AI, and Medical Imaging. Currently pursuing a Master's degree in Computer Engineering from New York University Tandon School of Engineering, His expertise lies in deep learning algorithms and research. He has worked on several projects in applications of AI in medicine, governance & agriculture in the past and is currently exploring applications of large language models (LLMs) in medicine.

Joel is an undergraduate student studying computer science and math. He is interested in machine learning and hopes to pursue a PhD in computer science.

Jason is an undergraduate student studying computer science and math. He is currently supported by the NYU Training Program in Computational Neuroscience. He is interested in neural data analysis and hippocampal-neocortical circuits.

Alex is an undergraduate student studying Computer Science at the Tandon School of Engineering. He is interested in machine learning, generative AI, mathematics, computer vision, and medical AI.

Katherine graduated from the Computer Science major from the Georgetown University. She conducted part-time research at NYU since 2023 and is now conducting full-time research since 2024. She is interested in clinical neuroscience and neural data analysis.

Yibo is an undergraduate student from the University of Science and Technology of China. He conducted a internship at NYU in 2023. His research interests focus on machine learning and brain-computer interface.

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.

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.

Guanghao received his PhD in Biomedical Engineering from Zhejiang University in 2019. His research interests are neural coding/decoding and BMI.

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 was 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 was 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 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.

Xiaohe was 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.

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. In the Fall 2022, he started his MD/PhD program at CMU/Pittsburgh.

Jonathan received his BA in Philosophy and Biology from Washington University in St. Louis in 2018. He subsequently completed an MS in Biomedical Science (Neuroscience track) at the Icahn School of Medicine studying frontal cortical neuronal population dynamics before joining the Chen lab. His research interests include computational neuroscience and machine learning. In the Fall 2023, he started his PhD program at UT Austin.

Logan was an NYU undergraduate student studying Neural Science/ Music double major. His research interests include computational neuroscience.

Aaron was 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.

Pranav was a Master student in NYU Courant Institute of Mathematical Sciences majoring in Computer Science, with a background in computer vision and software engineering. His research interests include computer vision, machine learning and computational modeling in the field of neuroscience.

Robert was a student at NYU Courant pursuing a master of science in mathematics. Before joining the Chen Laboratory, Rob spent approximately six years in quantitative roles modeling fixed and floating rate instruments, portfolios, leverage, and risk -- first at AllianceBernstein, where he was responsible for municipal bond portfolios and high yield tobacco bond securities, and then at TCW's private credit group. With the Chen Laboratory, Robert has been conducting research in decision-making and working memory, employing machine learning to build computational models for the brain. He holds separate B.A. and B.Sc. degrees from Tulane University in Mathematics and Philosophy and holds the CFA and FRM designations. Additionally, Robert is a Captain in the Army National Guard, where he is finishing his tour as a company commander.

Caroline Martinez, MD. was a Master student in NYU Biomedical Informatics Program. She is also Medical Director of Neurodevelopmental Pediatrics specializing in the evaluation and treatment of children with developmental delays and disabilities. She works closely with families to identify a child’s needs and strengths,and assists in obtaining the optimal interventions to promote learning. Her subspecialty interests include complex developmental disabilities, sleep, and multidisciplinary treatment approaches to learning and language disorders.

Yiyun was a Master student at NYU Tandon School studying Computer Engineering, with a background in artificial intelligence and robotics. Her research interests include machine learning and computational neuroscience.

Ziteng is an undergraduate student at NYU College of Art and Science studying Computer Science and Neural Science. His interests include machine learning, addiction, cognition, and he hopes to pursue a PhD for an AI related area.

Dorian is a Master student at NYU Tandon studying biomedical engineering. He received his undergraduate degree from the University of Oregon in biology and psychology, with a minor in mathematics. Before joining the Chen lab, he received additional quantitative training in data science. His research interests include computational neuroscience, machine learning.

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.

Jonathan was an NYU undergraduate student in the Neural Scicence program. He is interested in computational neuroscience. In the Fall 2022, he will start PhD program in Neuroscience at the University of Michigan.

Crist was 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.

Prashanth was an undergraduate student at NYU studying Applied Mathematics and Computer Science. 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 was 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 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.

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 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.

Ashley was a senior undergraduate student majoring in Biomedical Engineering from Tsinghua University. She conducted a summer internship at NYU in 2017. 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. He conducted a summer internship at NYU in 2017 and 2018. 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. He conducted a summer internship at NYU in 2018. 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 conducted a summer internship at NYU in 2018. He is interested in studying computatinonal neuroscience.

Kristen was a visiting undergraduate student from the University of Science and Technology of China, majoring in space physics. She conducted a summer internship at NYU in 2018. Her research interests are theoretical and computational neuroscience. She is now a PhD student 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. She conducted a summer internship at NYU in 2019. 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. She conducted a summer internship at NYU in 2019. Her research interests broadly include computational neuroscience, and modeling of complex neural networks. She is now a PhD student studying Neuroscience at UCSD.

Mengyu was a visiting undergraduate student majoring in Physics at the Nanyang Technological University, Singapore. She conducted an internship at NYU in 2019-2020. 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.

Yuxuan was a Biomedical Engineering student interested in applying engineering methods to neuroscience. During her summer research internship in 2022 (Covid period), she studied the generation and propagation mechanisms of traveling waves in the hippocampus formation using a biological-inspired model consisted of spiking excitatory and inhibitory neurons. She graduated from Tsinghua University in 2023 and she is currently a PhD student in Bioengineering at Stanford University.

Chengzhi was a visiting undergraduate student majoring in Biomedical Engineering from Tsinghua University, China. He conducted a summer internship at NYU in 2023. His research interests focus on memory replay, machine learning, brain computer interface.

Qiqi was a visiting undergraduate student from the Gifted Young Program at the University of Science and Technology of China. She conducted a summer internship at NYU in 2023. Her research interests focus on neural data analysis and computational neuroscience.

Porsha was a visiting undergraduate student majoring in Biological Science (Neurosciences) at the Cardiff University, United Kingdom. Her research interests include sleep and memory.

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.

Milton was 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.