Members

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 affiliated faculty member of the Neuroscience Institute. His research areas focus on computational neuroscience, neural engineering, data science and machine learning for translational neuroscience. Learn more

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 is a PhD candidate from Zhejiang University. His research interests mainly focus on embeded system developement, brain machine interface, and biomedical signal processing. He is working on accelerating hippocampus decoding on GPU and building real-time BMI system for pain detection.

Zhengdong received his Bachelor Degree in Electrical Engineering and Automation (2012) from at Zhejiang University, Hangzhou, China, he is currently be a Ph.D. candidate. His research interests include embedded systems, computational neuroscience and Brain-Machine Interface.

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 - 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.

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. She is currently doing a thesis project on the brain machine interface.

Xinling is a PhD student from Zhejing University and received a fellowship from the China Scholarship Council (CSC). Her research interests are complex network and its applications to neuroscience.

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.

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, and is currently applying to medical school. His research interests include machine learning and health informatics.

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.

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.

Richa is a pre-health NYU undergraduate student with a special focus on neural sciences. She is interested in research projects on neurobiology and quantitative neuroscience.

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.

Ashley is a senior undergraduate student majoring in Biomedical Engineering from Tsinghua University. Her research interests include computational neuroscience and neural engineering. [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.

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.

Avi is currently a high school student. He will be attending the University of Pittsburgh in the fall 2018. He is planning to study neuroscience and computer science in the college.