About me

Hey, I’m Sanjay!

I’m currently an undergraduate at Stanford University studying Computer Science with a focus on AI and biocomputation. Broadly, I’m interested in developing computational methods to improve diagnostics, accelerate drug development, and pave the way for AI integration in clinical settings. Currently, I’m an undergraduate researcher in the Dror Lab @ Stanford Artificial Intelligence Laboratory (SAIL) creating methods to improve ligand-receptor modeling. I’m also building something new in the health tech space (stay tuned for more)!

Feel free to reach out: sanjay [dot] nagaraj [at] stanford [dot] edu.

Current Interests

My current work and interests lie in:

1) ML-inspired de novo design methods for drug discovery

2) Building multi-modal, multi-view models to unlock biological insights

3) Creating robust and scalable solutions to improve efficiency in clinical care

Previous Work

Previously, I’ve worked as a Data Science/Machine Learning Intern at BigHat Biosciences, a series B antibody engineering startup backed by top VC firms (e.g. 8VC, a16z, Section 32), and as a Software Engineering Intern at Zibrio, an AI-powered health tech startup identifying individuals at high risk of falls. I’ve also built directional gene interaction networks at the Khatri Lab @ Stanford Center for Biomedical Informatics Research, improved drug screening with novel clustering approaches at the Bogyo Lab @ Stanford Pathology, created translational clinical tools to diagnose neurocognitive disorders at the Duong Lab @ Albert Einstein School of Medicine, and sped up traditional short-read sequence aligners with distributed computing at the Hodges Lab @ Baylor College of Medicine.