CV
Contact Information
| Name | Feiyang Huang |
| feh4005@med.cornell.edu |
Education
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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
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2020 - 2023 Baltimore, MD
BS
Johns Hopkins University
Computer Science and Biomedical Engineering
- GPA 3.96
Research Experience
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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.
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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.
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2021 - 2021 Research Intern
Johns Hopkins University, Institute for NanoBioTechnology
Microfluidic chip platform for rapid (<10 min) point-of-care PCR diagnostics.
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2019 - 2020 Research Intern
National University of Singapore, Yu Lab
Lesion invasion depth prediction from endoscopic images using a CNN.
Honors and Awards
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2023 NIH DEBUT Challenge, Healthcare Technologies for Low-Resource Settings Prize
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2023 VentureWell e-Fest Prize
Preprints
- 2026
Population-Scale Precision Safety in Oncology Reveals Clinical and Genetic Determinants of Systemic Therapy Toxicity
Ziad Bakouny*, X Alex Guo*, Feiyang Huang*, Saksham Mohan*, Rohan Walser*, et al., Wesley Tansey, Jian Carrot-Zhang, Ed Reznik
medRxiv; *equal contribution
- 2026
A Pan-Cancer Ex Vivo Drug Screen Atlas for Functional Precision Oncology
Karl Pichotta, Jessica B White, Jeffrey F Quinn, Anneliese Markus, Christopher Tosh, Antoine De Mathelin, Erin Coyne, Feiyang Huang, Wesley Tansey
bioRxiv
Peer-Reviewed Publications
- 2022
Reference-free cell type deconvolution of multi-cellular pixel-resolution spatially resolved transcriptomics data
Brendan F Miller, Feiyang Huang, Lyla Atta, Arpan Sahoo, Jean Fan
Nature Communications 13, 2339
- 2021
Artificial intelligence-enhanced white-light colonoscopy with attention guidance predicts colorectal cancer invasion depth
Xiaobei Luo, Jiahao Wang, Zelong Han, Yang Yu, Zhenyu Chen, Feiyang Huang, et al., Hanry Yu
Gastrointestinal Endoscopy 94(3), 627–638
- 2019
Roles and regulation of long noncoding RNAs in hepatocellular carcinoma
Lee Jin Lim, Samuel YS Wong, Feiyang Huang, et al., Caroline G Lee
Cancer Research 79(20), 5131–5139
Conference Abstracts
- 2026
Pan-cancer discovery of clinical and genomic determinants of immune-related adverse events
Ziad Bakouny, X Alex Guo, Rohan Walser, Feiyang Huang, et al.
Journal of Clinical Oncology 44(16_suppl), 11132; ASCO 2026
- 2024
Development of a computational model of SBS scores in critically ill children
S Wu, B Pejic, S Roy, Feiyang Huang, et al.
Pediatric Critical Care Medicine 25(11S), e87
Presentations
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2026 OncoState: Learning patient states from clinical trajectories in cancer
Poster. 45th Vincent du Vigneaud Research Symposium, Weill Cornell Medicine, New York, NY.
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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
Teaching
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Fall 2022 Course Assistant, Mathematical Foundations for Computer Science
Johns Hopkins University
Leadership and Service
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2021 - 2023 President
Singapore Students' Association, Johns Hopkins University
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2020 - 2022 Member
Theta Tau Professional Engineering Fraternity, Johns Hopkins University
Work and Entrepreneurship Experience
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2020 - 2023 Co-Founder
DioTeX Diagnostics
- Developed a lateral flow test for internal hemorrhage.
- Raised over $60,000 in nondilutive funding.
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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.
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2022 - 2022 Software Engineering Intern
Hologic
- Built an internal work history search tool and automated release note generation.
Other Experience
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2018 - 2019 3rd Sergeant
Singapore Armed Forces
- Led a detachment of 3 soldiers and co-supervised daily training for 15 soldiers.