M.S. Statistics student at the University of Virginia · Research Assistant at the Virginia Transportation Research Council
I apply statistics, machine learning, geospatial analysis, economics, and software development to public infrastructure problems. My current work spans transportation safety, transportation scenario planning, decarbonized energy-system control, and spatial model validation.
- Transportation safety: First-author TRB 2027 manuscript on observed crash rates for downstream access review at signalized intersections in Virginia.
- Infrastructure decision support: Developing planner-facing software that makes VisionEval scenario planning more accessible to VDOT and MPO users.
- Transportation and environmental policy: Coauthoring methodological work on emissions-investment allocation under uncertainty and connectivity leakage under sustainable aviation fuel mandates.
- Energy systems: Extending a deep reinforcement learning framework for UVA’s Fontaine Central Energy Plant toward sustainability-aware control and publication.
- Statistical methods: Interested in how high-resolution infrastructure data can preserve meaningful local context while still supporting reliable estimation and decision-making.
- Urban Heat Hotspot Screening Across Cities — Geospatial and remote-sensing analysis of same-city learning, held-out-city transfer, and spatial validation across 30 U.S. cities.
- VisionEval Region and Scenario Planning — R/Shiny and Electron tooling for building, running, comparing, and exporting VisionEval planning scenarios.
- Intersection Crash Analysis — Geospatial data engineering and transportation-safety analysis for Virginia signalized-intersection approach corridors.
- Playing-Card Classification — Reproducible PyTorch transfer-learning workflow with stratified five-fold cross-validation.
- Camp Activity Assignments — Local-first TypeScript application for real-time camper activity assignment and administrative workflows.
Python · R · statistical modeling · machine learning · geospatial analysis · econometrics · optimization · reinforcement learning · scientific software
I plan to pursue Ph.D. training to lead applied infrastructure research in government, national laboratories, research institutes, or industry. I am especially interested in transportation, energy infrastructure, grid resilience, decarbonization, and public-sector decision support.