Interdisciplinary research scientist and ML engineer with 15+ years of experience bridging academic research, large-scale industry AI/ML, and applied NLP. Most recently 8.5 years at Google building and deploying production AI/ML systems. Currently an Independent Research Scientist collaborating on AI safety, clinical NLP, and applied AI with partners at Carnegie Mellon, the University of Memphis, St. Jude and beyond.
View Full CV10+ high-impact launches at Google, 300K+ lines of production code, preventing >$100M in policy-violating monetization.
Co-leading collaborative research on AI deployment in clinical settings, misinformation detection, and dynamic safety benchmarks.
Peer-reviewed publications in top venues, a book under contract with MIT Press, and a defensive patent at Google.