Projects

A collection of my work in digital health, computational biology, drug discovery, and biomedical ML.

I work at KCDH-A under the mentorship of Dr. Anurag Agrawal on a slew of research projects at the intersection of ML (machine learning) & medicine, spanning palliative care, cancer & medical voice agents (aka scribes), all sharing a common thread of digital health with a north star objective of improving patient outcomes.

I also started a medical AI journal club at Ashoka, with Dr. Anurag's support in 2023. We meet somewhat infrequently but hope to meet at a more regular cadence in 2026!

Looking for research interns! I am looking for enthusiastic students (both undergrads & grad students) to work with me on any of my research interests.

If you are interested, write to me at my Ashoka email with the subject line "Research Intern interest", including a short paragraph about your background and which of these areas you would like to do research on. Feel free to suggest a research topic of your interest — if not aligned with my interests, I will try to connect you to the appropriate person in the Ashoka community who might be able to advise you.

Patient Education Tools

Understand Your Cancer Records

AI-powered tool that transforms any cancer medical record—imaging reports, biopsy results, oncology prescriptions, genetic testing, histopathology reports, and more—into accessible, multilingual patient education materials in five Indian languages at multiple literacy levels, with automatic privacy protection.

Computational Protein Design

In my spare time, I am also interested in computational approaches to protein and antibody design. Methods progress in this area is accelerating, starting from RFDiffusion by the Baker Lab at IPD, followed by Chai, Chai-2, BoltzGen, RFAntibody, & a spate of others. The field is very fertile & pace of progress is accelerating! For a comprehensive overview of AI-driven antibody design, see this excellent state-of-the-art review by Brian Naughton.

CD20 Binder Design

Participated in Bits to Binders 2024 challenge, designing computational binders targeting CD20 for B-cell lymphoma therapeutics.

View on GitHub

Nipah Virus Binder

Competing in Adaptyv Nipah Competition using diffusion-based generative models including BoltzGen for de novo binder design.

See my designs

Immune Repertoire Profiling

AIRR-ML-25 Challenge: Predicting disease states from TCR repertoires using DeepRC, ESM-2, FAISS clustering, and immunological features.

Drug Discovery & Regulatory Analysis

FDA Complete Response Letter Analysis

ML platform analyzing 297 FDA rejection letters. Predicts approval outcomes with 72% accuracy and uncovers patterns in drug deficiencies.

AACR 2025 Clinical Trials Dashboard

Interactive visualization of clinical trial data from AACR 2025. Explore trial phases, therapeutic targets, and outcomes.

Explore dashboard

ASCO 2025 Data Visualization

Comprehensive analysis and visualization of oncology research presented at ASCO 2025 annual meeting.

View analysis

Grants

Grand Challenges India (Awarded November 2024)

Building palliative care decision support for caregivers using LLMs, RAG & a dataset of Indian palliative care case scenarios with clinical partners (Max Healthcare & Pallium India).

PI: Dr. Anurag Agrawal Co-investigator: Ashish Makani

Supported by

Rare Disease Resources

Learn Something Wonderful About Rare Diseases

Inspired by readsomethingwonderful.com and built with matter.js, this is a curated collection of my favorite rare disease readings presented in an interactive, physics-based interface.