CV

Contact Information

Name Feiyang Huang
Email feh4005@med.cornell.edu

Education

  • 2023 - present

    New York, NY

    PhD
    Weill Cornell Graduate School of Medical Sciences
    Tri-Institutional PhD Program in Computational Biology & Medicine
    • Advisor: Wesley Tansey, Memorial Sloan Kettering Cancer Center
  • 2020 - 2023

    Baltimore, MD

    BS
    Johns Hopkins University
    Computer Science and Biomedical Engineering
    • GPA 3.96

Research Experience

  • 2023 - 2024
    PhD Rotations
    Memorial Sloan Kettering Cancer Center
    • Tansey Lab: Bayesian active learning for nominating combination therapies from ex vivo drug screens.
    • Chodera Lab: Equivariant graph neural networks for small-molecule property prediction (mtenn).
    • CMO Innovation Lab: Computational pipeline for bisulfite- and enzyme-based DNA methylation sequencing of tumors.
    • Morris Lab: BERT representation learning from tumor mutation profiles.
  • 2021 - 2023
    Undergraduate Researcher
    Johns Hopkins University, Fan Lab
    • Reference-free deconvolution of spot-based spatial transcriptomics using LDA topic modeling.
    • Quantification of subcellular mRNA polarization using a torque framework.
  • 2021 - 2021
    Research Intern
    Johns Hopkins University, Institute for NanoBioTechnology
    Microfluidic chip platform for rapid (<10 min) point-of-care PCR diagnostics.
  • 2019 - 2020
    Research Intern
    National University of Singapore, Yu Lab
    Lesion invasion depth prediction from endoscopic images using a CNN.

Honors and Awards

  • 2023
    NIH DEBUT Challenge, Healthcare Technologies for Low-Resource Settings Prize
  • 2023
    VentureWell e-Fest Prize

Preprints

Peer-Reviewed Publications

Conference Abstracts

Presentations

  • 2026
    OncoState: Learning patient states from clinical trajectories in cancer

    Poster. 45th Vincent du Vigneaud Research Symposium, Weill Cornell Medicine, New York, NY.

  • 2022
    Towards point-of-care internal hemorrhage detection through a syndecan-1 lateral flow assay

    Oral presentation. Military Health System Research Symposium, Kissimmee, FL.

Patents

Granted: US 12,105,099 B2; Methods and devices for quantitatively estimating syndecan-1
Pending: US 19/240,058; Methods and devices for quantitatively estimating thrombomodulin

Teaching

  • Fall 2022
    Course Assistant, Mathematical Foundations for Computer Science

    Johns Hopkins University

Leadership and Service

  • 2021 - 2023
    President
    Singapore Students' Association, Johns Hopkins University
  • 2020 - 2022
    Member
    Theta Tau Professional Engineering Fraternity, Johns Hopkins University

Work and Entrepreneurship Experience

  • 2020 - 2023
    Co-Founder
    DioTeX Diagnostics
    • Developed a lateral flow test for internal hemorrhage.
    • Raised over $60,000 in nondilutive funding.
  • 2022 - 2023
    Team Leader
    BME Design Team
    • Developed a continuous monitoring solution using accelerometry and vitals for sedative dosage adjustment in the pediatric ICU.
    • Led a team of 7 undergraduates and managed the project.
    • Launched an IRB study to generate a dataset of regular interval, nurse annotated clinical sedation score.
    • Obtained $100,000 in competitive internal grant funding.
    • Interviewed 20 clinicians for needs discovery.
  • 2022 - 2022
    Software Engineering Intern
    Hologic
    • Built an internal work history search tool and automated release note generation.

Other Experience

  • 2018 - 2019
    3rd Sergeant
    Singapore Armed Forces
    • Led a detachment of 3 soldiers and co-supervised daily training for 15 soldiers.