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Krithik Vishwanath

Krithik Vishwanath

01 About

Building computational tools for medicine

I am a 2026 Churchill Scholar and recent graduate of UT Austin, where I earned 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.

I currently work on clinical AI evaluation with NYU OLAB and Eric K. Oermann. In October 2026, I will begin an MPhil programme at the University of Cambridge, co-supervised by Ari Ercole, Pietro Liò, and James Rudd.

Previously, I worked at UT's Center for Computational Oncology with Thomas Yankeelov and Ernesto Lima on mathematical oncology. I also worked on photoacoustic imaging with Richard Bouchard at MD Anderson Cancer Center as part of the MDACC SURP program, and on machine learning for metabolomics with Chirag Patel at Harvard Medical School as part of the SIBMI program.

02 Selected Publications
2026 Nature Medicine

General-purpose large language models outperform specialized clinical AI tools on medical benchmarks

Vishwanath K, Alyakin A, Ghosh M, Alber DA, Aphinyanaphongs Y, Oermann EK

2026 In Review

Large language models predict functional outcomes after acute ischemic stroke

Kapoor AK, Alyakin A, Lee JV, Yang E, Schulze AM, Vishwanath K, Lee J, Aphinyanaphongs Y, Riina H, Frontera JA, Oermann EK

2025 npj Systems Biology and Applications

Modeling tumor dynamics and predicting response to therapies in a murine pancreatic cancer model

Vishwanath K, Choi H, Gupta M, Zhou R, Sorace AG, Yankeelov TE, Lima EABF

2025 BMJ Digital Health & AI

MedMobile: A mobile-sized language model with expert-level clinical capabilities

Vishwanath K, Stryker J, Alyakin A, Alber DA, Oermann EK

2025 Neurosurgery

Evaluating the performance and fragility of large language models on neurosurgical board-like questions

Vishwanath K, Alyakin A, Ghosh M, Lee JV, Alber DA, Sangwon KL, Kondziolka D, Oermann EK

2025 JACC: Clinical Electrophysiology

In vivo monitoring of cardiac RF ablation in a large-animal model using photoacoustic-ultrasound imaging

Mathuria N, Vishwanath K, Brero G, Fallon BC, Martino A, Willson RC, Filgueira CS, Bouchard RR

2025 In Review

Medical large language models are easily distracted

Vishwanath K, Alyakin A, Alber DA, Lee JV, Kondziolka D, Oermann EK

2024 Medical Physics

Open-chest cardiac ultrasound-mediated imaging with a vacuum coupler

Mathuria N, Vishwanath K, Brero G, Fallon BC, Martino A, Willson RC, Filgueira CS, Bouchard RR

2023 Applied Sciences

From seeing to knowing with artificial intelligence: a scoping review of point-of-care ultrasound in low-resource settings

Venkatayogi N, Gupta M, Gupta A, Nallaparaju S, Cheemalamarri N, Gilari K, Pathak S, Vishwanath K, Soney C, Bhattacharya T, Maleki N, Purkayastha S, Gichoya JW

03 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.