Zihao Chen
About Me
I am a third-year Ph.D. student in Computer Science at the University of Pennsylvania, where I work in the Neural Data Science (NerDS) Lab advised by Prof. Eva Dyer.
My current interests span large language models, diffusion models, representation & contrastive learning in multi-modalities, variational & Monte Carlo techniques, state space and dynamical systems modeling, optimal transport and time-series forecasting (especially neural and wearable biosignals), by the goal of extracting interpretable latent structure.
Education
Ph.D. in Computer Science
University of Pennsylvania • 2025 - Present • Eva DyerPh.D. in Machine Learning
Georgia Institute of Technology • 2023 - 2025 • Eva DyerM.S. in Engineering
Fudan University • 2019 - 2022 • Chunhe Li, Wenlian LuB.S. in Biology
Wuhan University • 2015 - 2019 • Min WuNews
Migrating to UPenn to continue my Ph.D. research with Prof. Eva Dyer.
Our theory paper about alignment problem in CL has been published on Neurips 2024.
A previous paper of me has been accepted by the Advanced Science about the dynamics.
Moved to University of Pennsylvania to continue my Ph.D. research with Prof. Eva Dyer.
Started my Ph.D. journey at Georgia Institute of Technology with Prof. Eva Dyer!
I have obtained my Master degree in Fudan University!
Publications
Energy landscape reveals the underlying mechanism of cancer-adipose conversion with gene network models
Published in Advanced Science, 11(41), p.2404854.
Towards Highly Flexible Inter-User Calibration of Myoelectric Control Models With User-Defined Hand Gestures
Published in IEEE Transactions on Medical Robotics and Bionics, 2024
Quantitative landscapes reveal trajectories of cell-state transitions associated with drug resistance in melanoma
Published in iScience, 2022, 105499
Quantifying the Landscape and Transition Paths for Proliferation–Quiescence Fate Decisions
Published in Journal of Clinical Medicine, 2020, 9(8): 2582