Yepeng Huang黄晔鹏

Hello! My name is Yepeng (pronounced as Yeh-Puhng), and I am a PhD student in Biological and Biomedical Sciences at Harvard Medical School, advised by Marinka Zitnik. I hold a B.S. in Biological Science from Nanjing University.

My research develops multimodal AI methods that connect molecular and preclinical evidence to clinical prediction, from the safety and efficacy of drug combinations to how proteins map onto functions across scales of biology. Many problems come down to deciding under incomplete evidence: modalities go missing, labels are sparse, and the useful question becomes what should be done when we don't yet know enough. More recently I have been working on the other side of that problem, evaluating and building agents that recognize what they are missing and go after it.

Within that, I am drawn most to problems in oncology and neuroscience. Previously I worked on systems neuroscience.

Yepeng Huang

Research

Selected work

Publications

*Equal contribution

Service

Teaching and mentoring

  • Teaching Fellow, BMIF 203 / BMI 702: AI in Medicine II, 2025
  • Teaching Fellow, BMI 702: Foundations in Biomedical Informatics II, 2023
  • Teaching Fellow, BST 267: Introduction to Social and Biological Networks, 2022
  • Mentor, Summer Institute in Biomedical Informatics, 2022, 2023
  • Mentor, Biostatistics Student Mentor Program, 2022

Peer review

  • Reviewer: PSB, ISMB/ECCB, NeurIPS, ICLR
  • Program Committee: ISMB/ECCB

Science communication

  • Vice President, Harvard Chan Chinese Student Health Club
  • Writer, NextQuestion 追问
  • Writer and translator, Neu-reality 神经现实

Misc

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Writing