Can Chen
Postdoctoral Research Fellow at Harvard Medical School and Brigham and Women's Hospital
Office: 181 Longwood Ave, Boston, MA 02115
Email: spcch at channing dot harvard dot edu, canc at umich dot edu
ABOUT ME
- I am interested in control theory, network theory, multilinear algebra, numerical analysis, machine learning, and computational biology.
- I am currently working on hypergraph learning and its applications in biomedical data analysis.
- Curriculum Vitae
- Google Scholar
EDUCATION
- B.S., Summa Cum Laude, in Mathematics with minor in Statistics from the University of California, Irvine in 2016 (advisor: Dr. John Lowengrub).
- M.S. in Electrical and Computer Engineering with Control Systems track from the University of Michigan in 2020.
- Ph.D. in Applied and Interdisciplinary Mathematics from the University of Michigan in 2021 (advisors: Dr. Anthony Bloch and Dr. Indika Rajapakse).
PUBLICATIONS & PREPRINTS
Applied Mathematics
- C. Chen, A. Surana, A. M. Bloch, and I. Rajapakse. "Multilinear Time Invariant System Theory." Proceedings of the SIAM Conference on Control and its Applications, pp. 118-125, 2019. [Article]
- C. Chen, A. Surana, A. M. Bloch, and I. Rajapakse. "Data-Driven Model Reduction for Multilinear Control Systems via Tensor Trains." arXiv:1912.03569, 2019. [arXiv]
- C. Chen, and I. Rajapakse. "Tensor Entropy for Uniform Hypergraphs." IEEE Transactions on Network Science and Engineering, vol. 7, no. 4, pp. 2889-2900, 2020. [Article]
- C. Chen, A. Surana, A. M. Bloch, and I. Rajapakse. "Multilinear Control Systems Theory." SIAM Journal on Control and Optimization, vol. 59, no. 1, pp. 749–776, 2021. [Article]
- C. Chen, A. Surana, A. M. Bloch, and I. Rajapakse. "Controllability of Hypergraphs." IEEE Transactions on Network Science and Engineering, vol. 8, no. 2, pp. 1646-1657, 2021. [Article]
- C. Chen. "On the Stability of Multilinear Dynamical Systems." arXiv:2105.01041, 2021. [arXiv]
- A. Surana, C. Chen, and I. Rajapakse. "Hypergraph Dissimilarity Measures." arXiv:2106.08206, 2021. [arXiv]
- C. Chen, Ramanarayan Vasudevan. "Explicit Solutions and Stability Properties of Homogeneous Polynomial Dynamical Systems via Tensor Orthogonal Decomposition." arXiv:2107.11438, 2021. [arXiv]
Computational Biology
- P. Sweeney*, C. Chen*, I. Rajapakse, R. D. Cone. "Network Dynamics of Hypothalamic Feeding Neurons." Proceedings of the National Academy of Sciences, vol. 118, no. 14, pp. e2011140118, 2021. [Article]
- S. Lindsly, C. Chen, S. Ronquist, S. Liu, M. Perlman, and I. Rajapakse. "4DNvestigator: a Toolbox for the Analysis of Time Series Hi-C and RNA-seq Data." Nucleus, vol. 12, no. 1, pp. 58-64, 2021. [Article]
- G. A. Dotson, C. W. Ryan, C. Chen, L. A. Muir, and I. Rajapakse. "Cellular Reprogramming: Mathematics Meets Medicine." Wiley Interdisciplinary Reviews: Mechanisms of Disease, vol. 13, no. 4, pp. e1515, 2021. [Article]
- S. Lindsly*, C. Chen*, S. Dilworth, S. Jeyarajan, A. Cicalo, W. Meixner, N. Beckloff, C. W. Ryan, G. Omenn, A. Surana, L. A. Muir, and I. Rajapakse. "Deciphering Multi-way Interactions in the Human Genome." bioRxiv, 2021. [bioRxiv]
- S. Lindsly, W. Jia, H. Chen, S. Liu, S. Ronquist, C. Chen, X. Wen, G. A. Dotson, C. W. Ryan, G S. Omenn, S. Li, M. Wicha, A. Rehemtulla, L. A. Muir, and I. Rajapakse. "Functional Organization of the Maternal and Paternal Human 4D Nucleome." iScience, vol. 26, no. 12, pp. 103452, 2021. [Article]
* indicates first co-authors.
CONFERENCES
- DMD Based Control of Multiway Dynamical Systems, SIAM Conference on Applications on Dynamical Systems, May 2019.
- Multilinear Time Invariant System Theory, SIAM Conference on Control and its Applications, June 2019.
- Controllability of Hypergraphs, SIAM Conference on Control and its Applications, July 2021.
COURSE PROJECTS
- C. Chen, B. Lu, J. Liang, and H. O. Singer. "Asymptotically Efficient Adaptive Allocation Rules." EECS 558 Stochastic Control, Fall 2017.
- C. Chen. "A Review of Control System Analysis and Design via the ''Second Method" of Lyapunov: I - Continuous Time Systems." EECS 562 Nonlinear Control, Winter 2018.
- C. Chen, Y. Liu, P. Paquet, and J. Connolly. "Manifold Learning in Differentiating Cancer Cells." EECS 545 Machine Learning, Fall 2018.
- C. Chen, X. Yang, Z. Zhu, R. Hwang, and P. Paquet. "A Survey of Reinforcement Learning Methods in Stock Trading Games." EECS 598 Special Topic: Deep Learning, Winter 2019.
- C. Chen, B. Yang, and M. Li. "Complexity Analysis of Computing Piecewise Quadratic Lyapunov Functions for Switched Linear Systems." EECS 563 Hybrid Control, Fall 2020.
TEACHING
Last update on 11/26/2021.