Summary
June Thai is a staff research scientist specializing in AI safety, NLP, and generative models, with 13 years of experience translating foundational research into robust, real-world systems. Based in San Jose, she focuses on reasoning consistency, few-shot generalization, and reliability in high-stakes domains such as healthcare, now applied at Ensemble Health Partners after senior roles at Mendel.ai and a long PhD research track at UMass Amherst. Her work spans safety evaluations, alignment methods, and deployment-minded experiments that bridge ambiguous research problems to practical solutions. She has hands-on experience building QA systems over knowledge graphs during an IBM internship and brings industry-tested engineering sensibilities from roles at Adobe, Knorex, and startups. Known for cross-disciplinary collaboration, she combines rigorous academic training with a pragmatic approach to making AI models trustworthy when it matters most. An understated strength is her emphasis on operationalizing safety metrics so research insights survive real-world constraints.
13 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Massachusetts Amherst
B.E. / M.S., Computer Science, A+, B.E. / M.S., Computer Science, A+ at Bach Khoa University (fomerly Ho Chi Minh City University of Technology)
English, Spanish, French, Vietnamese