Summary
Anna Rumshisky is a director and academic-turned-industry researcher with 11 years of experience specializing in AI, ML, and NLP, currently splitting her time between leadership at UMass Lowell’s Center for AI Computing Research and applied research roles at Amazon AGI Foundations. She leads large-scale LLM training and mechanistic interpretability work while running a lab that develops practical methods for efficient pre-training and model analysis. A seasoned conference organizer and educator, she has served as program chair and senior area chair at top ML/NLP venues and teaches graduate courses in deep learning for NLP. Her background spans top institutions including MIT and Brandeis, and she brings a rare combination of hands-on model engineering, rigorous academic research, and program-level leadership.
11 years of coding experience
8 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at Brandeis University
Secondary, Secondary at Moscow State School 57 (math)
M.S., Computer Science, M.S., Computer Science at Northeastern University
Postdoctoral, Computer Science and Artificial Intelligence, Postdoctoral, Computer Science and Artificial Intelligence at Massachusetts Institute of Technology
Lomonosov Moscow State University