Hi, I'm David Kartchner
I'm an AI/ML researcher at Truveta
I build large language models (LLMs) to extract, synthesize, and rigorously analyze biomedical data to power applications in biomedicine, drug discovery and healthcare. I am currently building Truveta's proprietary language model powered by the electronic health records of 120 million patients.
Prior to Truveta, I was a PhD student in the Laboratory for Pathology Dynamics advised by Cassie Mitchell. My dissertation research focused on semi-supervised learning and large language models (LLMs) for knowledge graph construction and information extraction with limited to no labeled data. I previsouly completed a MS in Mathematics from Brigham Young University advised by Jeff Humpherys.
Prior to Truveta, I have worked in ML research across the TechBio and Healtcare at Enveda Bioscienes, Meta, GlaxoSmithKline, Recursion Pharmaceuticals, and Intermountain Healthcare.
Featured Research Publications
A comprehensive survey and robustness analysis of biomedical entity linking models for scientific literature
EMNLP
2023
A comparison of the capacity of various LLMs to structure & summarize data from clinical trials and cohort studies
BioNLP
2023
A dataset to filter clinical cohort studies for drug repurposing, pharmacovigilence, and clinical meta-ananalysis
SIGIR
2023
An AI-assisted interactive tool for creating labeling functions used in weak supervision.
AI
2022