Three years of DoD-funded research at Purdue in active collaboration with the Air Force Research Laboratory (AFRL) and Air Force Institute of Technology (AFIT), including two AFRL Scholars Program selections and an ORISE Doctoral Research Fellowship. The graduate research line below is the primary appointment (graduating December 2026); the three DoD positions are summer/funded collaborations layered on top of it.
Graduate Research
Graduate Research Assistant — Purdue University, Department of Mathematics
Jan 2023 – Present
Advisors: Prof. Gregery Buzzard (Math) and Prof. Charles Bouman (ECE)
- Designed ReVAR, a novel data-driven algorithm producing synthetic data that matches measured statistics from physical experiments with worst-case 4% NRMSE on the temporal power spectrum — a substantial improvement over existing methods.
- Developed BoilingFlow, extending a Fourier-based data synthesis method with novel automated parameter estimation and a spatial-anisotropy extension; validated on measured and simulated datasets.
- Delivered all results as modular, version-controlled, pip-installable Python packages with reproducible examples and full documentation.
- Deliverables: two recently accepted first-author journal articles — Journal of the Optical Society of America A (ReVAR) and Optical Engineering (BoilingFlow), both in press — plus the AOModel and BoilingFlow open-source Python packages.
DoD Appointments
AFRL Scholars Program (USRA) — Air Force Research Laboratory (virtual)
May 2026 – Sept 2026 (current)
Mentor: Jeremy Vorenberg
- Second consecutive AFRL Scholars Program selection; continues the Purdue–AFRL/AFIT collaboration on synthetic data generation for turbulence-driven imaging and simulation with Prof. Matthew Kemnetz.
Doctoral Research Fellow (ORISE) — Air Force Institute of Technology (virtual)
May 2025 – Aug 2025
Mentor: Prof. Matthew Kemnetz
- Advanced the BoilingFlow algorithm as part of the Purdue–AFRL/AFIT collaboration; delivered weekly virtual technical briefings to AFIT faculty.
- Deliverable: first-author SPIE paper — “Boiling flow parameter estimation from boundary layer data” (SPIE Optics + Photonics 2025).
AFRL Scholars Program (USRA) — Air Force Research Laboratory
May 2024 – Aug 2024
Mentor: Prof. Matthew Kemnetz
- Developed and evaluated the ReVAR algorithm against measured wind tunnel data; delivered an end-of-summer technical briefing to AFRL staff.
- Deliverable: first-author SPIE paper — “Data-driven synthetic wavefront generation for boundary layer data” (SPIE Optics + Photonics 2024).