Resume and Curriculum Vitae

My full curriculum vitae and resume can be viewed as a pdf.

Specialization

Data analysis for astronomical telescopes using techniques from machine learning and advanced statistics. Expertise in computer vision, signal processing, differential equations, numerical methods and high-performance computing.

Major contributor to several 100,000+ line python / C telescope image reconstruction and data reduction codebases. Proficient with scientific python including libraries numpy, scipy, TensorFlow, and PyTorch.

Member of the Polarbear-1, Simons Array, Simons Observatory, BICEP/Keck and South Pole Telescope collaborations.

Education

Ph.D. in Physics, University of California Berkeley, 2019

A Measurement of the Degree Scale B-mode CMB Angular Power Spectrum from the POLARBEAR Experiment

B.S. in Electrical and Computer Engineering with Honors, Carnegie Mellon University, 2013

B.S. in Physics with Honors, Carnegie Mellon University, 2013

Appointments

Kavli Postdoctoral Fellow, Stanford University, 2019 -

Graduate Student Researcher, University of California Berkeley, 2014 - 2019

Graduate Student Instructor, University of California Berkeley, 2013 - 2014

Open Source Projects

Kaggle TensorFlow Great Barrier Reef Computer Vision Competition, 2022

Code and results available here.