Apr 2026 – presentBay Area, CA
Enterprise Neurosystems
Researcher, ML for Ecosystem Analysis
Building edge-computing sensor stacks that identify wildlife and track animal health as it happens, in the field.
- Built edge sensor stacks that run MegaDetector on-device to parse camera images for real-time species detection.
- Developed back-end species identification and health and activity indicators with a custom-tuned SpeciesNet model.
- Designing a heat-map vision tool, integrated with the back-end analysis, that surfaces animal activity and health.
Field sitesDangermond Preserve, California · Bwindi Impenetrable Forest, Uganda
MegaDetectorSpeciesNetEdge computingComputer vision
Mar – Jun 2026UChicagoReport forthcoming
Existential Risk Laboratory
Researcher, Nuclear Winter Mitigation Strategies
Co-authored a report assessing the existential risk of nuclear winter and evaluating ways to mitigate it.
- Derived energy-efficiency calculations and models to assess feasibility and return on infrastructure investment.
- Developed two intervention pathways, electrostatic coagulation and endothermic photodissociation, to reduce aerosol forcing after a large-scale nuclear conflict.
Aerosol forcingEnergy modelingCatastrophic risk
Oct 2025 – Jun 2026UChicago
Climate Systems Engineering Initiative
Researcher, Climate Forcing Modeling · Advisor: Jim Franke
Modeled stratospheric aerosol injection and what it would mean for regional climate risk.
- Built Python models of stratospheric aerosol injection, projecting temperature and precipitation anomalies and regional climate risk.
- Modeled radiative forcing and climate responses to assess regional extreme-weather risk.
- Evaluated feasibility, risk profiles, and governance options for climate-intervention technologies.
Stratospheric aerosol injectionRadiative forcingPython