Doctoral Student and Graduate Student Researcher in Operations Research at University of Pittsburgh advised by Professor Oliver Hinder focusing on continuous optimization methods and machine learning.
Passionate about applying interdisciplinary mathematics-computer science techniques to real-world data sets.
Education:
Bachelor of Science in Computer Science, Data Science, Mathematics, and Statistics from University of Michigan, Ann Arbor.
Master of Science in Applied and Computational Mathematics (Probability and Optimization focus) from University of Washington, Seattle.
Doctor of Philosophy in Industrial Engineering (Operations Research focus) from University of Pittsburgh, Pittsburgh (Expected 2028).
Work Experience:
Applied Mathematics REU Intern, University of California - Los Angeles, CA (Summer 2017)
Machine Learning Research Intern, University of Michigan - Ann Arbor, MI (Summer 2018)
Solutions Architect Intern, Amazon Web Services - New York City, NY (Summer 2019)
Reinforcement Learning Research Intern, University of Michigan - Ann Arbor, MI (Winter 2020)
Software Development Engineer I, Amazon Web Services - Seattle, WA (2020-2022)
Software Engineer II, Zulily - Seattle, WA (2022)
Contract Software Engineer II, Meta Reality Labs - Redmond, WA (2022-2023)
Contract Systems Development Engineer II, Amazon - Bellevue, WA (2023-2024)
Federated Learning Research Intern, Advanced Micro Devices - San Jose, CA (Summer 2024)
Graduate Student Researcher, University of Pittsburgh - Pittsburgh, PA (2024-Present)
PhD Industrial Engineering (Operations Research), University of Pittsburgh, 2024 - present
MS Applied and Computational Mathematics, University of Washington, 2022 - 2023
BS Computer Science, Mathematics, Statistics, and Data Science, University of Michigan–Ann Arbor, 2016 - 2020
