Patrick Smadbeck
About Patrick Smadbeck
Patrick Smadbeck is a Senior Software Engineer at the Broad Institute of MIT and Harvard, where he has worked since 2022. He holds a PhD in Chemical Engineering from the University of Minnesota-Twin Cities and has a background in software development and biological simulations.
Work at Broad Institute
Patrick Smadbeck has been employed as a Senior Software Engineer at the Broad Institute of MIT and Harvard since 2022. His role involves developing software solutions that support the institute's research initiatives in genomics and biomedical science. The Broad Institute is known for its collaborative approach to scientific research, and Smadbeck contributes to projects that leverage advanced computational techniques to analyze biological data.
Education and Expertise
Patrick Smadbeck holds a Doctor of Philosophy (PhD) in Chemical Engineering from the University of Minnesota-Twin Cities, where he studied from 2009 to 2014. His doctoral research focused on biological simulations, specifically probability-based models of reaction networks. He also earned a Bachelor of Science (BS) in Chemical Engineering from the Massachusetts Institute of Technology, completing his studies from 2005 to 2009. His academic background provides a strong foundation in both engineering principles and biological applications.
Professional Background
Before joining the Broad Institute, Patrick Smadbeck worked at several organizations. He served as a Software Developer at Football Radar Ltd from 2016 to 2021, where he applied his programming skills in a sports analytics context. He was also a Postdoctoral Researcher at Imperial College London from 2014 to 2016, focusing on tissue development and growth simulations. Earlier in his career, he was a PhD Candidate at the University of Minnesota from 2009 to 2014 and completed a four-month internship at Cray Inc. in 2012.
Research Focus and Contributions
Patrick Smadbeck specializes in integrating agent-based models with genetic and bioinformatics data. His research during his PhD involved developing models that simulate biological processes, which contribute to a deeper understanding of complex biological systems. His postdoctoral work at Imperial College London further expanded his expertise in simulations related to tissue development, enhancing the field's knowledge of growth mechanisms in biological contexts.