I am a Computational Biology PhD student at Memorial Sloan Kettering. I work on generative models for therapeutic design, advised by Wesley Tansey.

Previously, I completed my undergraduate studies at Johns Hopkins in Biomedical Engineering and Computer Science. My research focus was spatial genomics methods development with Jean Fan. I also worked on rapid PCR diagnostics and sedation monitoring in the pediatric ICU. I co-founded DioTeX Diagnostics, a start-up developing point-of-care molecular diagnostics for internal hemorrhage for EMTs and combat medics.

news

Jun 10, 2024 I am joining the Wesley Tansey lab, where I will be using Bayesian statistics and generative models to uncover cancer biology and design therapeutics. Excited to get cracking!
Aug 01, 2023 I am starting my PhD at the Tri-Institutional Program in Computational Biology & Medicine in New York City.
May 21, 2023 I graduated from Johns Hopkins! Huge thank you to everyone who supported me along the way.

selected publications

  1. Preprint
    A Pan-Cancer Ex Vivo Drug Screen Atlas for Functional Precision Oncology
    Karl Pichotta, Jessica B White, Jeffrey F Quinn, and 6 more authors
    bioRxiv, Feb 2026
  2. Preprint
    Population-Scale Precision Safety in Oncology Reveals Clinical and Genetic Determinants of Systemic Therapy Toxicity
    Ziad Bakouny*, X Alex Guo*, Feiyang Huang*, and 34 more authors
    medRxiv, Sep 2026
  3. lncrna-review.jpeg
    Roles and regulation of long noncoding RNAs in hepatocellular carcinoma
    Lee Jin Lim, Samuel YS Wong, Feiyang Huang, and 5 more authors
    Cancer Research, 2019
  4. stdeconvolve.png
    Reference-free cell type deconvolution of multi-cellular pixel-resolution spatially resolved transcriptomics data
    Brendan F Miller, Feiyang Huang, Lyla Atta, and 2 more authors
    Nature communications, 2022