Boyang Fu (付伯阳)

Postdoctoral Fellow, Department of Biomedical Informatics, Harvard Medical School

I am a postdoctoral research fellow at Harvard Medical School, Department of Biomedical Informatics, advised by Prof. Marinka Zitnik. I received my Ph.D. in Computer Science at UCLA, where I was advised by Prof. Sriram Sankararaman. I earned my Bachelor's Degree (Summa Cum Laude) from Rutgers University with majors in Computer Science (Highest Honor) and Mathematics. Prior to that, I attended Huazhong University of Science and Technology and majored in bioinformatics (Honors Program), and transferred to Rutgers University in January 2016.

I develop AI/ML methods for complex biological data, with a particular focus on human genetics and genomics. My research topics include understanding nonlinear genetic variant behavior in high-dimensional settings, using multi-omics to decode functional genomics, and leveraging genetic variation for causal inference.

Boyang Fu

Field of Interests

  • Computational genomics
  • Large-scale AI/ML
  • Causal inference & Interpretability

Selected Awards

  • UCLA Dissertation Year Fellowship $20,000 stipend plus standard tuition and fees [2024-2025]
  • Warren Alpert Computational Biology and AI Network Fellow [2024-2025]
  • Outstanding Research Departmental Nomination [2023]
  • Outstanding Mentorship Award Bruins in Genomics Summer Research Program [2021-2022]
  • Graduate Division Fellowship Award [2020]
  • Academic Excellence Scholarship [2016-2018]