About
I am a Staff Research Scientist in the Adaptive Experimentation group at Meta, where I develop sample-efficient optimization methods with a focus on efficient AutoML for large machine learning models. Before joining Meta, I completed my PhD in computer science at Cornell University, working with Professor Carla Gomes. My research interests include Bayesian optimization, sparse optimization, and active learning, with applications in materials science and beyond. My work at Meta has also involved leveraging Bayesian optimization to optimize the sustainability of the concrete mixes used in Meta's data centers, reducing the environmental impact while increasing strength and stability.
When I am not penciling Greek letters or hunting down missing minus signs in code, I enjoy cycling, dancing tango, and playing the piano. Hear me play a tango that I transcribed here
Selected Projects
Sustainable Concrete via Bayesian Optimization
Eight percent of global CO₂ emissions come from cement production — the dominant source of emissions in data center construction. By collaborating with Amrize and the University of Illinois Urbana-Champaign, we used Bayesian optimization to discover lower-carbon concrete formulations, achieving improved trade-offs between global warming potential and compressive strength compared to current industry mixes. The optimized mix has been deployed at Meta's data center in Rosemount, MN.
Scientific Autonomous Reasoning Agent (SARA)
SARA is an autonomous experimentation system that integrates robotic materials synthesis with a hierarchy of AI methods to accelerate scientific discovery. By combining lateral gradient laser spike annealing with nested active learning cycles and end-to-end uncertainty quantification, SARA autonomously maps synthesis phase diagrams — achieving orders-of-magnitude acceleration in exploring metastable materials. We demonstrated SARA's capabilities by mapping the Bi₂O₃ system, including conditions for stabilizing δ-Bi₂O₃ at room temperature, a critical development for electrochemical technologies.
Publications
See Google Scholar for the most up-to-date list.