// professional & research experience
Experience
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PhD Resident — AI for Chemistry · with Dr. John Paul Issa, Thomas Hossler, Prof. Gabe Gomes
Architected and deployed an end-to-end MLOps pipeline on Google Cloud Platform (GCP) to run large-scale ML inference over 1M+ partner data points.
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Graduate Research Intern · with Dr. Ying Wai Li, Dr. Christopher Lane
Integrated reward shaping and acceleration methods into a Monte Carlo Tree Search algorithm for the inverse design and discovery of heavy-fermion (superconducting) compounds.
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Graduate Research Assistant · with Prof. Rebecca Lindsey
Developed uncertainty quantification methods for simulations using machine-learned interatomic potentials (ML-IAP), in collaboration with Lawrence Livermore National Laboratory.
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Undergraduate Research Assistant · with Prof. Victor Zavala
Applied Riemannian geometry to multivariate time-series batch processes with Dow Chemical; identified key process variables in collaboration with Argonne National Laboratory.
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Alternating Term Co-op
Scaled batch production by 25.8% (~$800k/yr profit), cut waste 40% with a Python cleanout model, led capital investment projects, and saved ~$10k per trailer by identifying unsustainable SiH-containing products.
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Undergraduate Research Assistant · with Prof. John Dorgan
Used classification algorithms to sort plastics from near-infrared spectroscopy (NIR) data.
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Undergraduate Research Assistant · with Prof. Milton Smith
Studied iridium-catalyzed C–H borylation chemistry and coupling reactions, with a focus on green-chemistry optimization.
01Education
- University of Michigan, Ann Arbor · NSF Graduate Research Fellow
- University of Michigan, Ann Arbor
- Michigan State University · GPA 3.90/4.00