Curriculum Vitae
Employment
2021 - now Member, Simons Center for Systems Biology, School of Natural Sciences, Institute for Advanced Study, Princeton, NJ
2017 - 2021 Research Associate, Initiative for the Theoretical Sciences, The Graduate Center, CUNY, New York, NY
Independent postdoctoral research at the intersection of statistical physics, machine learning, and computational neuroscience
2014 - 2017 Research Assistant Professor, Simons Center for Geometry and Physics, Stony Brook University, Stony Brook, NY
Independent postdoctoral research in mathematical condensed matter physics
Honors and Awards
2018 General workshop award ($20,000) from Institute for Complex Adaptive Matter (ICAM) for "Machine Learning and Statistical Physics" (with S. Gopalakrishnan, V. Oganesyan, and D. Schwab)
2016 Invited paper for Emerging Talents special issue of Journal Physics A: Mathematical and Theoretical
2013 Gregor Wentzel Research Prize, University of Chicago, for outstanding work in theoretical physics
2010-2012 University of Chicago Robert A. Millikan Fellowship (U.S. DOE Graduate Assistance in Areas of National Need (GAANN) Fellowship)
2008 Distinction in general scholarship, UC Berkeley (cum laude equivalent)
2008 High Honors in Physics UC Berkeley (magna cum laude equivalent)
Recent Publications
Aditya Cowsik, TC, & Paolo Glorioso, Flatter, faster: scaling momentum for optimal speedup of SGD , 2022
Timothy D. Kim, TC, & Kamesh Krishnamurthy, Trainability, Expressivity and Interpretability in Gated Neural ODEs , ICML 2023
TC & Kamesh Krishnamurthy, Emergence of Memory Manifolds, 2021
Kamesh Krishnamurthy, TC, & David J. Schwab, Theory of Gating in Recurrent Neural Networks, Phys. Rev. X 2022
Lucas Sá, Pedro Ribeiro, TC, & Tomaž Prosen, Spectral Transitions and Universal Steady-States in Random Kraus Maps and Circuits, Phys. Rev. B 2020
TC, Kamesh Krishnamurthy, & David J. Schwab, Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs, MSML 2020
Alexander G. Abanov, TC, Sriram Ganeshan, & Gustavo M. Monteiro, Hydrodynamics of two-dimensional compressible fluid with broken parity: variational principle and free surface dynamics in the absence of dissipation, Phys. Rev. Fluids 2019
TC, Vadim Oganesyan, Dror Orgad, & Sarang Gopalakrishnan, Spectral gaps and mid-gap states in random quantum master equations, Phys. Rev. Lett. 2019
TC, Random Lindblad Dynamics, J. Phys. A 2019
Nathan Schine, Michelle Chalupnik, TC, Andrey Gromov, & Jonathan Simon, Electromagnetic and Gravitational Responses of Photonic Landau Levels, Nature 2019
Full List of Publications can be found on Google Scholar
Selected Talks
Dynamics of Gated Recurrent Neural Networks, City College of New York Physics Colloquium, Sept. 16, 2020
Gating Creates Slow Modes and Controls Phase-space Complexity in GRUs and LSTMs, Mathematical and Scientific Machine Learning (MSML) Virtual Conference July 20, 2020.