I am a Machine Learning PhD Candidate at Georgia Tech’s H. Milton Stewart School of Industrial and Systems Engineering, advised by Dr. Gian-Gabriel Garcia. I am on the 2026–27 academic job market.
I study how healthcare organizations should decide who receives help, what kind of help, and when, if there is not enough to go around. My work combines machine learning, optimization, and sequential decision-making to allocate clinical attention and to design diagnostic assessments.
I build this work with clinicians at Children’s Healthcare of Atlanta and researchers in the NCAA–DoD CARE Consortium. Before my PhD, I spent three years as an Applied Scientist at Lucas Systems (2019–2022), and in 2025 I was an Applied Scientist Intern at AWS.
My work on graduate-student mental health informs my interest in improving access to care beyond the university.
Selected recognition
- Finalist, Lee B. Lusted Student Prize Competition, SMDM, 2026
- Winner, INFORMS MIF Student Poster Competition, 2024
- Philip J. and Delores A. Scott Graduate Student Health and Wellness Award, ISyE, 2024–2026
- George Family Fellowship for Research Excellence in Healthcare Systems, ISyE, 2024–2025
- David Cowan Scholarship, Georgia Chapter of HIMSS, 2024
Full list in the CV.
Recent updates
- 2026-11 Presenting at the INFORMS Annual Meeting in San Francisco on Sun, Nov 1: Job Market Showcase (1:15 PM, Moscone South-203) and the session I co-chair, Sequential Decision Making for Patient Care (5:15 PM, Moscone South-105).
- 2026-09 Georgia Tech Research News featured our pediatric-care collaboration with Children’s Healthcare of Atlanta.
- 2026-06 Our paper on diagnostic assessment under time constraints was published in IISE Transactions.