Suraj Rajendran
PhD in Computational Biology @ Weill Cornell Medicine
New York City, NY
I recently defended my Ph.D. in the Tri-Institutional PhD Program in Computational Biology at Weill Cornell Medical College, specializing in computational biology and machine learning. My research interests include exploring multimodal methods for furthering women’s health and in vitro fertilization (IVF), clinical trial emulation, natural language processing and modeling in medical data, and deep learning in genomics.
I am honored to be supported by the National Science Foundation through a Graduate Research Fellowship. Currently, I am co-mentored by Dr. Fei Wang and Dr. Iman Hajirasouliha.
Education
- Ph.D. Computational Biology, Weill Cornell Medicine.
- B.S. Biomedical Engineering, Georgia Institute of Technology. Minor in Computing and Intelligence. President’s Undergraduate Research Award (PURA) Fellow.
Outreach
I am passionate about mentorship and equity in academia:
- IMentor (since 2023): Mentoring underprivileged high school students in NYC through the college application process.
- Lumiere Education: Research Mentor for students exploring machine learning in healthcare.
- Equity & Access: Led a team at Georgia Tech that proposed policy changes for academic recognition for students with disabilities.
- Public Health: Led a winning proposal for the HHS “Giving=Living” campaign to promote blood donations.
GRFP Help
The NSF GRFP has been transformative for my career. I am happy to discuss the application process or share my research and personal statements with prospective applicants.
news
| May 18, 2026 | I successfully defended my Ph.D. in Computational Biology at Weill Cornell Medicine! Grateful for the support of my mentors, colleagues, and family throughout this journey. |
|---|---|
| Apr 23, 2026 | Our latest paper, “Trial emulation for validating the clinical efficacy of a foundational AI model in embryo selection,” is now published in npj Digital Medicine! Read it here. |
| Jul 11, 2025 | A project I’m very proud of, where we developed a foundation model for IVF, is out in Nature Communications! Check it out here. |
| Jul 01, 2025 | Our paper exploring the integration of federated learning with trial emulation was published in npj Digital Medicine! Check it out here. |
| May 13, 2025 | We explored the effect of steroids and subphenotypes of sepsis. Our results were published in Nature Communications! Check it out here. |