experience
Below I list my academic history, experiences, and interests. A pdf of my resume can be found to the right.
Education
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2019-current Doctor of Philosophy Candidate in Applied Mathematics
University of Maryland, College Park, MD -
2019-2021 Masters of Science in Applied Mathematics
University of Maryland, College Park, MD -
2015-2019 Bachelors of Arts in Computational & Applied Mathematics
Rice University, Houston, TX -
2015-2019 Bachelors of Science in Mechanical Engineering
Rice University, Houston, TX
Select Experience
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2020-current Graduate Assistant in Huang Research Group
University of Maryland, College Park, MD - Constructing faster distributed algorithms via asynchronous methods
- Creating memory- and computational-efficient distributed algorithms via sketching and hashing (some which escape saddle points)
- Building mechanisms to incentivize FL participation & performance
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2022-current Applied Scientist - Machine Learning
Alcority - Building distributed training architectures
- Constructing efficient and scalable ML algorithms for physical applications
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2022-2023 PhD Research Intern
Pacific Northwest National Laboratories - Researched edge-computing algorithms for micro-grids
- Constructed a model-agnostic distributed algorithm (allowing devices to train with of cost or memory constraints)
- Built a decentralized FL Python package
Honors and Awards
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2024 - Hauptman Fellowship (University of Maryland)
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2019-2020 - Aziz-Osborn Gold Medal in Teaching Excellence (University of Maryland)
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2019 - Best Energy-Related Design at the Rice Engineering Showcase
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2017 - NSF Travel Grant Scholarship to 34th QPRC
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2017 - Best Poster and Presentation at the 7th Eubank Conference
Academic Interests
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Federated Learning (FL)
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Compression & Hashing
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Mechanism Design
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Asynchronous Algorithms