About
I'm a computational scientist and software engineer. I use high-performance computing to explore topics of social and environmental interest. My published work touches on topics including machine learning, gerrymandering, plant breeding, public transportation, hydrology, geospatial algorithms, and computational biology. My open source work is widely used for spatial statistics, understanding landscapes, and migration ecology.
Beyond research, I've served as a chapter and regional vice-president of Engineers Without Borders, overseeing international development projects in four countries, including a plastics recycling effort in Haiti and a clean water project in Uganda. My work has also included developing wireless sensor networks for glacial monitoring and subglacial hydrology in both Alaska and on the Greenland Ice Sheet, as well as designing prosthetic limbs in Germany.
When not at a computer, I'm often found dancing or calling dances.
Open source projects
- dggridR - Spatial statistics done right
- RichDEM - Fast hydrological and terrain analysis
- Matrix Forensics - In-progress book on matrix mathematics
Various positions
- Staff Research Scientist @ Facebook/Meta (current)
- PhD Research Intern @ Google
- PhD Research Intern @ Apple
- Associate Editor of Computers & Geosciences
- GPU Hackathon Mentor - Nvidia and DoE
- Visiting Fellow, Lawrence Berkeley National Lab
- Visiting Fellow, National Renewable Energy Lab
- Co-Founder, OMG Transit
- DAAD Fellow, Institut für Bioprozess- und Analysenmesstechnik e.V.
Education
- Ph.D. in Computational Science with UC Berkeley's Energy & Resources Group / EECS
- Visiting Scholar @ MIT CSAIL
- M.S. in Computer Science, UC Berkeley
- M.S. in Ecology, University of Minnesota
- B.S. in Physics, University of Minnesota
- B.A. in Philosophy, University of Minnesota
Fellowships
- DOE Computational Science Graduate Fellowship
- NSF Graduate Research Fellowship
- Moore–Sloan Data Science Fellow (Berkeley Institute for Data Science)
- Intel Labs Start-up Pipeline (2013)