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SURP Intern

Fred Hutchinson Cancer Center

Cleaned and analyzed kinase inhibitor dataset, including measuring the polypharmacology of different FDA approved kinase inhibitors. Experimented with cheminformatic ML models (Chemprop, ProSmith) on HPC for predicting kinase inhibition profiles using chemical structure.

Research Aide

Argonne National Laboratory

Part-time research aide working on the national AI flood mapping project. Developed python and shell scripts for dataset collection and devised a successful manual labeling workflow. Currently investigating different computer vision model architectures on the HPC clusters for predicting flood pixels from both multispectral and synthetic radar aperture (SAR) data.

SULI Intern

Argonne National Laboratory

Conducted independent project modeling PFAS bioaccumulation over the course of 12 weeks. Explored different data sampling methodologies and transfer learning to predict bioaccumulation behavior in a small class of PFAS compounds.

Instructor

Math Circles of Chicago

Statistics instructor for the MAPSCorp program at Kenwood Academy and UC Woodlawn Charter School. Taught weekly 2 hour sessions over 18 weeks.

BS Mathematics, BA Computer Science

University of Chicago, Chicago, IL

Software & ML

• Operating Systems
• Intro to Optimization
• Intro to Neural Networks
• Systems Programming
• Math for ML
• Scientific Visualization
• Markov Chains & Brownian Motion
• Linear Algebra
• Theory of Algorithms

Enrico Fermi Scholar in Physical Sciences

University of Chicago

Awarded to students in the top 5% of their program of study.

Robert Maynard Hutchins Scholar

University of Chicago

Awarded to students in the top 10% of the class in their first two years of study.

Deans List

University of Chicago

Awarded to 20% of degree-seeking students whose GPA averages are the highest for that academic year.

Waterpixel Detection Paper TBD

TBD

In progress.