[Paul-E]

Location: Los Angeles / Irvine, CA

Remote: Yes

Willing to relocate: Yes, western USA

Technologies: Python, Rust, Numpy, Cython, Jupyter notebook, Linux, git, bash

LinkedIn: https://www.linkedin.com/in/ellenbogen/ Résumé/CV: Please email

Email: pe5 [at] cs.princeton.edu

US Citizen: Yes

I am a PhD student in computer science at Princeton University. My current research explores the privacy of consumer genetic genealogy companies. You can read a preprint of my current research here: https://www.biorxiv.org/content/10.1101/531269v1

My work requires combination of engineering and simple (naive bayes) machine learning. For the paper above, I simulate populations with hundreds of thousands of individuals using Rust, and then analyze the simulated data and population using Python, with key functions optimized by Cython. The project required me to have a breadth of skill, from understanding bayes classification to CPU cache locality.

I am looking for either data science roles, engineering roles, or ideally roles that combine both. Having a research component is a plus! I will be available starting near the end of Februray, or the begining of March.