Summary
Kristy Carpenter is a computational biologist and PhD candidate at Stanford’s Altman Lab focused on developing multi-scale bioinformatic methods that bridge molecular structure and population-level data for safer pain therapeutics. She builds and evaluates structure-based algorithms for adverse drug reaction prediction and applies large language models and social media surveillance to monitor the opioid epidemic. With 11 years of experience spanning academic labs, national labs, and industry internships (including Merck and Oak Ridge), she combines molecular dynamics, machine learning, and practical druggability analysis. Her work uniquely couples ligand binding–pocket prediction and structural ML evaluation with real-world pharmacovigilance, making translational impact across drug discovery and public health. Currently on the job market, she’s seeking postdoctoral or scientist roles in pharma/biotech where she can advance AI-driven drug safety and surveillance.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computational Biology, GPA: 4.96, Bachelor of Science - BS, Computational Biology, GPA: 4.96 at Massachusetts Institute of Technology
Lakeside School
Doctor of Philosophy - PhD, Biomedical Informatics, Doctor of Philosophy - PhD, Biomedical Informatics at Stanford University