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Krithik Vishwanath

Mathematics × Medicine × AI

Hello, I'm Krithik

Computational Oncology Medical AI Mathematical Modeling
01 About

Building computational tools for medicine

I'm a 2026 Churchill Scholar and undergraduate at UT Austin pursuing degrees in Computational Engineering (BSE), Mathematics (BS), and Chemistry (BSA), with minors in Philosophy and Cultural Expression, Human Experience, & Thought. My research focuses on (1) mathematical and computational models of treatment and disease dynamics, (2) clinically grounded AI systems with reliable reasoning, and (3) translating new methods into practice through careful evaluation.

At UT's Center for Computational Oncology, I work with Prof. Thomas Yankeelov and Dr. Ernesto Lima on mathematical oncology. I also work on clinical AI evaluation with NYU OLAB and Prof. Eric K. Oermann.

Previously, I worked with Prof. Richard Bouchard at MD Anderson Cancer Center on photoacoustic imaging as part of the MDACC SURP program and machine learning for metabolomics with Prof. Chirag Patel at Harvard Medical School as part of the SIBMI program.

02 Experience
Jun 2025 — Aug 2025

Visiting Undergraduate Student

Harvard Medical School — PI: Dr. Chirag Patel

Designing and implementing high throughput pipelines for large-scale, untargeted LC-MS exposomics and machine learning analyses.

May 2024 — Present

Summer Research Intern

NYU Grossman School of Medicine, OLab — PI: Dr. Eric K. Oermann

Curating open-source large language models for the medical domain. Developing MedMobile and evaluating LLM performance on clinical benchmarks.

Jan 2023 — Present

Undergraduate Research Assistant

UT Austin, Center for Computational Oncology — PIs: Dr. Lima, Dr. Yankeelov

Developing mathematical frameworks to model, predict, and optimize patient-specific tumor dynamics in pancreatic and breast cancer models.

May 2023 — May 2025

Undergraduate Research Assistant

MD Anderson Cancer Center — PI: Dr. Richard R. Bouchard

Engineering advanced image processing algorithms based on fluid dynamics to enhance photoacoustic imaging for cardiac ablation monitoring.

03 Selected Publications
04 Contact

Let's connect

Reach out to chat about anything! I'm interested in research collaborations, discussing ideas at the intersection of AI and oncology, or opportunities in computational medicine.