Mengchen Wang
PhD Student @ Stanford CS. B.E. @ Tsinghua IIIS (Yao Class)
(+1) 6505615108
wmc@stanford.edu
Hi I am Mengchen, a first-year PhD Computer Science Ph.D. student at Stanford University specializing in AI4Science. I received my Bachelor of Engineering from Tsinghua University’s Institute for Interdisciplinary Information Science (Yao Class). My overarching goal is to identify complex biological bottlenecks and engineer the precise machine learning architectures required to solve them.
Currently, my research centers on spatial transcriptomics, where I model the continuous-time dynamics of embryogenesis and transcription regulation using advanced representation learning, optimal transport, and transformer-based multi-modal foundation models.
Beyond biology, I have a strong algorithmic foundation in developing explainable AI pipelines and integrating foundation models with reinforcement learning for embodied agents and nanorobotic swarms. Whether analyzing spatial-temporal gene expression or optimizing complex control systems, I focus on translating high-dimensional, multi-modal data into actionable scientific insights.
News
| Dec 21, 2025 | Check our 3D embryo website Here! We provide an easy way to interact with out analysis results. Our paper will be coming out soon |
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Selected Publications
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Artificial intelligence-assisted multimode microrobot swarm behaviorsACS nano, 2025 -
Spatiotemporally actuated hydrogel by magnetic swarm nanoroboticsACS nano, 2022 -
Photothermally modulated magnetic nanochains as swarm nanorobotics for microreaction controlACS Applied Nano Materials, 2022 - CoRLReinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its OwnIn 8th Annual Conference on Robot Learning, 2024
- arXivFoundation reinforcement learning: towards embodied generalist agents with foundation prior assistancearXiv preprint arXiv:2310.02635, 2023