Martin Jankowiak
About Martin Jankowiak
Martin Jankowiak is a Principal ML Scientist at Generate Biomedicines, specializing in the intersection of probabilistic machine learning and bioinformatics. He holds a Ph.D. in Theoretical Particle Physics from Stanford University and has previously worked at notable institutions including Uber and the Broad Institute of MIT and Harvard.
Work at Generate Biomedicines
Martin Jankowiak serves as Principal ML Scientist at Generate Biomedicines since 2022. In this role, he focuses on applying machine learning techniques to advance biomedicine research. His expertise in probabilistic machine learning and bioinformatics contributes to the company's mission of developing innovative therapeutic solutions.
Education and Expertise
Martin Jankowiak earned his Doctor of Philosophy (Ph.D.) in Theoretical Particle Physics from Stanford University, where he studied from 2007 to 2012. He also completed his undergraduate studies at the University of Chicago from 2003 to 2007. His academic background provides a strong foundation for his research interests in machine learning and bioinformatics.
Previous Work Experience
Before joining Generate Biomedicines, Martin Jankowiak held several positions in research and development. He worked as a Senior Research Scientist at Uber from 2017 to 2020. Prior to that, he was a Research Scientist at the NYU Center for Urban Science and Progress from 2014 to 2016. He also served as a Machine Learning Fellow at the Broad Institute of MIT and Harvard from 2020 to 2022.
Research Focus and Contributions
Martin Jankowiak's research primarily focuses on the intersection of probabilistic machine learning and bioinformatics. He has developed open source software, such as pyro.ai, aimed at making advanced algorithms accessible to non-expert users. His contributions enhance the usability of machine learning tools in various scientific fields.