People
We are a team of research scientists committed to tackling the fundamental challenges and open questions regarding data for AI.
Team
Indiana University Assistant Professor and Applied Economist with training in econometrics (statistics & microeconomic theory)
Si-Yuan Kong, Ph.D.
Research Scientist
UC Irvine-trained machine learning senior scientist (fmr ML @ Activision)
USC-trained machine learning engineer and researcher focused on Graph Neural Networks, Multimodal Learning, Diffusion Models, Transformer Models and Reinforcement Learning. Fmr National Science Foundation Graduate Research Fellow @ USC.
Allison Fox, M.S.
Research Scientist
UC Berkeley-trained measurement theory expert with AI safety and data error experience (fmr Mathematica)
Sarah Tucker, M.S.
Applied Researcher
Columbia-trained qualitative and quantitative researcher with healthcare data background (fmr Datavant)
Ben Mellin, M.S.
ML Data Scientist
NC State-trained Data Scientist focused on production-ready AI and modeling solutions, with speciality in patient care.
Wes Hopkins
Head of Data Lab Operations
Berkeley-educated operations whiz with a background in data science, business operations, and logistics.