Stanford · Y Combinator · San Francisco Bay Area

Shawnak Shivakumar

Building at the intersection of artificial intelligence and biology, oncology, medicine, and longevity.

4 Scientific papers
$25K Y Combinator grant
~1% Fellowship acceptance
2026 National debate champion
01

About

Shawnak Shivakumar is an entrepreneur and researcher studying computer science, artificial intelligence, biology, and robotics at Stanford. He has received grants from Y Combinator, authored four scientific papers, and is the lead researcher on first-in-class therapeutics for fatal cancers at Stanford, where he discovered a novel mechanism of action now in live mouse studies. He is a Regeneron Science Talent Search Scholar, a 2026 national debate champion, and the founder of a company working to extend human life.

  • Artificial Intelligence
  • Computational Biology
  • Drug Discovery
  • Protein Modeling
  • Machine Learning
02

Experience

Jul 2026 - Present

Y Combinator

SS26

  • $25,000 grant.
Dec 2025 - Present

Stealth Startup

Founder

  • Extending human life.
Aug 2025 - Present

Stanford University

Lead Researcher, The eIF4E Project

  • First author and project lead across Stanford and Stony Brook, developing first-in-class eIF4E therapeutics for fatal cancers.
  • Discovered a novel mechanism of action targeting a cryptic pocket, with in vivo mouse studies in progress.
May 2025 - Sep 2025

Harvard University

Deep Learning Researcher, Harvard OpenBio Institute

  • Top Project Award at the Harvard OpenBio Symposium 2025, selected from 120+ fellowship projects and awarded publication.
May 2025 - Sep 2025

Stony Brook University

Simons Fellow, Computational Biology Researcher

  • AI-enabled discovery of a cryptic pocket and ligands in oncogenic eIF4E.
  • Funded research fellowship, ~1% acceptance rate.
Jun 2025 - Aug 2025

Merck

Drug Discovery Cohort (BDDC) 2025

2024 - 2025

The Dark Protein Project

Founder and CEO

  • Open-access research project mapping millions of uncharacterized proteins using human-in-the-loop active learning, curating training data for SE(3)-GVP-GNNs and protein language models.
Jun 2024 - Sep 2024

The New York Academy of Sciences

Research Intern

May 2023 - Sep 2023

HELLA Ventures

DePIN Blockchain Analyst

  • Research across DLT, L1/L2, and MEV, with applications in voting, real estate, and logistics.

EducationStanford University, B.A. Computer Science and Artificial Intelligence.

03

Publications

View on Google Scholar
  1. 01 Forecasting binding affinity of paratope-epitope surfaces with a novel decision tree framework
  2. 02 Decoding the dark proteome: Deep learning-enabled discovery of druggable enzymes in Wuchereria bancrofti
  3. 03 ImmunoAI: Accelerated Antibody Discovery Using Gradient-Boosted Machine Learning with Thermodynamic-Hydrodynamic Descriptors and 3D Geometric Interface Topology
  4. 04 A novel homotopical-sensitive generative framework for selective prioritization of binding-capable molecular interfaces
04

Recognition

  • Regeneron Science Talent Search, Top 300 Scholar
  • 2026 Parliamentary Debate National Champion
  • Cameron Impact Scholarship, Finalist (Full-Ride)
  • Elks National Foundation Most Valuable Student Scholarship
  • International Chess Distinctions
05

Connect

The fastest way to reach me is email.