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Disclaimer: Any opinions expressed on LinkedIn are the author’s own, made in the author's individual capacity, and do not necessarily reflect the views of NREL. 

Evan Komp works to integrate deep learning for protein engineering, specifically for drives here at NREL related to plastic upcycling and novel C1 conversion systems, but aims to do so in a modular and generalizable way such that tools can be easily applied to new systems and built upon. Komp also has experience applying data science and machine learning to a myriad of other application spaces, and acts as a bridge between theoretical plus experimental expertise and machine learning. Additionally, he's interested in some novel tasks that yet have to be well established, such as solvent and pH tolerance/design.

Professional Experience

Lab Research Intern, Phibro Animal Health (2017)

Process Control Engineering Intern, WestRock Paper Company (2018–2019)

Chemical Machine Learning Intern, ArrePath Science (2022)

Education/Academic Qualification

Bachelor, Chemical Engineering, Oregon State University

PhD, Chemical Engineering Data Science, University of Washington

Master, Chemical Engineering Data Science, University of Washington