Experience
Flypower.io — Research Quality Analyst
Jan 2026 – Mar 2026 | Remote
- Reviewed and validated AI-generated analysis for 15 high-impact renewable energy risk reports
- Developed prompt engineering and QA methodology supporting permitting for 20 GW of renewable projects
Arbic Lab, University of Michigan — Climate Data Scientist & Algorithm Developer
2021 – 2025 | Ann Arbor, MI
- Designed spatio-temporal spectral decomposition algorithm (NumPy, SciPy, Xarray, Dask) for NASA’s coupled Earth-system simulation (MITgcm/GEOS5)
- Built parallelized ETL pipelines on NASA Pleiades HPC processing ~1 TB of NetCDF climate simulation data
- Work published in Physical Review Fluids (2025)
Lubensky Lab, University of Michigan — Biophysical Data Scientist & Simulation Engineer
2018 – 2025 | Ann Arbor, MI
- Built the first semi-automated image analysis pipeline (Python, OpenCV, scikit-learn, FIJI) processing ~1 TB of microscopy data across hundreds of experimental conditions, achieving 10x throughput over prior manual workflow
- Engineered a C++ physics-based simulation of 100,000+ heterogeneous cells with stochastic dynamics and spatially varying mechanical properties, incorporating mitosis, apoptosis, and periodic boundary conditions
- Developed custom signal detection algorithm (NumPy, SciPy) quantitatively proving the existence of stereotyped cell size patterns in Drosophila wing tissue
- Supervised 5 undergraduate researchers on simulation, statistical inference, and image analysis
Carlson Lab, UC Santa Barbara — Undergraduate Researcher, Worster Fellow
2017 – 2019 | Santa Barbara, CA
- Applied graph-theoretic methods to develop novel structural indicators for bone disease diagnostics in human trabecular bone. First-author publication in Physical Review E (2019).
- Built semi-automated pipelines to analyze microCT confocal images and generate 3D structural metrics of trabecular bone.