Hi there! My name is Nathan LaPierre, and I am currently pursuing a PhD in Computer Science at the University of California, Los Angeles (UCLA). My expected graduation date is June 2022.
My research interests lie in computational genetics and genomics. In particular, I have worked on robust mendelian randomization, trans-ethnic fine mapping, isoform-aware eQTL mapping, deep learning to improve nanopore read quality, and metagenomic profiling. I am interested in further investigating methods to elucidate causal mechanisms behind complex diseases.
Since I am graduating in less than a year, I am currently in the market for postdoctoral positions! I have a proven track record of publication and mentorship, as shown in my CV below. I am also friendly, curious, and ambitious, and I try to do my part to keep the lab environment active and positive for all lab members.
MS in Computer Science, 2019
UCLA
BS in Computer Science, 2015
George Mason University