Lucas Tian

  • Assistant Professor of Neural Science and Biomedical Engineering

Lucas Tian Headshot

The Laboratory of Cognitive Neural Systems, housed in the Center for Neural Science on Washington Square campus, studies how the mind arises from computations implemented in neural circuits of the brain and how disruption of those computations underlies brain disorders. The lab is specifically interested in the neural basis of cognition, focusing on how neural systems learn and generalize by representing the world's abstract, compositional structure and, in turn, reorganizing that structure to solve novel problems. An overall approach is to develop hypotheses for specific cognitive algorithms, to formally model them using computer simulations, and to empirically test them using neural recordings and circuit perturbations. We apply this approach in the context of high-dimensional motor and cognitive tasks that require novel problem solving in both humans and non-human primates. We use a wide range of approaches, including large-scale electrophysiology during behavior, circuit perturbation using optogenetics, neural network modeling of brain function, development of neural decoding algorithms, and robotics-based novel task development.

Research Interests
Systems neuroscience, Computational neuroscience, Optogenetics, Cognitive science, Brain-computer interfaces, Neural engineering, Motor abstraction.

Assistant Professor
NYU Center for Neural Science


2026 Postdoc, Rockefeller University
2019 Visiting postdoc, Massachusetts Institute of Technology
2019 Ph.D., University of California, San Francisco
2011 B.A., University of Chicago


2026 Simons Empire Faculty Fellowship
2026 Tri-Institutional Breakout Prize for Junior Investigators
2023 NIH Pathway to Independence Award
2020 NIH NRSA Postdoctoral Fellowship


2026 Tian LY, Garzón Gupta K, Hanuska DJ, Rouse AG, Eldridge MA, Schieber MH,
Wang XJ, Tenenbaum JB, Freiwald WA. Neural representation of action symbols in
primate frontal cortex.
Nature.

2026 Tian LY, Hanuska DJ, Garzón Gupta K, Liu Y, Wang XJ, Tenenbaum JB, Freiwald
WA. Neural representation of action grammar structure in primate frontal
cortex. bioRxiv.

2020 Tian LY, Ellis K, Kryven M, Tenenbaum JB. Learning abstract structure for drawing
by efficient motor program induction. Advances in Neural Information Processing
Systems.