Grab a pdf here (updated 2019-11-01)
I’m a machine learning researcher, currently studying weight-free computational graphs at the Perimeter Institute.
As a graduate student I worked under Manuel Endres at Caltech on unsupervised methods for experimental quantum state tomography. I did my undergrad at UC Berkeley in physics, and spent a summer at the Haystack Observatory working on automation of solar radio burst detection.
- MS, Physics, California Inst. of Technology (2019)
- BA, Physics, University of California, Berkeley (2016). Highest honors
Publications / presentations
Towards simulating many-body quantum dynamics with strontium atoms in optical tweezers, DAMOP 2018.
- English (native)
Programming languages and packages:
- Python, Pytorch, TensorFlow, Scipy (fluent)
- Julia (fluent)
- Matlab (working knowledge)
- C++ (rudimentary)
Awards, honors (academic)
- Laslett Scholarship (U.C. Berkeley Physics Dept.) (Jan 2015)
- REACH Scholarship (Chevron) 2012-2016
- Elected Phi Beta Kappa soc. Spr. 2015
- Quantedge Award, Academic excellence (U.C. Berkeley) Fall 2015
- Chor Gee Scholarship (U.C. Berkeley Physics Dept.) Dec 2015
- Dept. Citation (Berkeley Physics) May 2016
- Dept. Fellowship, 1 year, Caltech Physics (Sept 2016)