Matthew Theisen
About Matthew Theisen
Matthew Theisen is an MLOps Engineer currently at Kensho Technologies, with a strong background in data science and bioengineering. He has held various positions in the tech and engineering sectors, including roles at UCLA, Leaf Group, and Medtronic.
Work at Kensho Technologies
Matthew Theisen currently serves as an MLOps Engineer at Kensho Technologies, a position he has held since 2020. He has accumulated four years of experience in this role, contributing to the development and operationalization of machine learning models. Prior to his current position, he worked at Kensho Technologies as a Machine Learning Engineer from 2019 to 2020 for ten months. His work at Kensho Technologies is situated in the Los Angeles Metropolitan Area.
Education and Expertise
Matthew Theisen earned a PhD in Bioengineering from UCLA, where he studied from 2012 to 2016. His doctoral research involved simulating biochemical systems with a focus on dynamic stability as a design principle for metabolic systems. He also holds a Bachelor of Science (BS) in Chemical Engineering from the University of Minnesota-Twin Cities, where he studied from 2007 to 2011. His expertise includes topic modeling, natural language processing, and proficiency in programming languages such as Python and R, as well as SQL databases.
Background
Matthew Theisen's professional journey began with an Engineering Trainee position at Caledonian Alloys in 2009. He later worked as an Engineering Technician at Medtronic in 2012. His experience in data science began with a Data Science Intern role at Leaf Group from 2016 to 2017, followed by a Data Scientist position at the same company from 2017 to 2019. He also served as a Graduate Student Researcher at UCLA from 2012 to 2016.
Achievements
Throughout his career, Matthew Theisen has demonstrated a commitment to continuous learning and development, as evidenced by his personal website showcasing a range of projects. His work has focused on enhancing web content categorization and search performance through advanced techniques in data science and machine learning.