GenAI, Agents

My focus was medically-grounded, conversational AI via generative models (“agentic AI”) . Previously, I worked on language models tasked with identifying disease diagnoses within EHRs.Teams:→ GenAI (2023 - 2024)→ Cardiology AI (2021 - 2024) [FDA 510(k) for our AFib algo, Tempus ECG-AF]Papers:→ Will Thompson, David Vidmar, Jessica De Freitas, Gabriel Altay, Kabir Manghnani, Andrew Nelsen, Kellie Morland, John Pfeifer, Brandon Fornwalt, RuiJun Chen, Martin Stumpe, Riccardo Miotto .“Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping". DGM4H NeurIPS 2023.→ David Vidmar, Will Thompson, Ruijun Chen, Dustin Hartzel, Daniel Rocha, Joseph Leader, Brandon Fornwalt, and Christopher M Haggerty. 2022. “Abstract 11934: Natural Language Processing Models Can Be Trained to Accurately Recognize the Presence of Disease Within Clinical Notes.”Patents:→ Translating AI Algorithms From 12-Lead Clinical ECGS to Portable and Consumer ECGS With Fewer Leads→ Phenotyping of clinical notes using natural language processing models

Investors: Alameda Ventures, Curve, Solana, Polychain Capital, Standard Crypto and Multicoin.