Patrick Roos
I’m a computer scientist by training with 20+ years of experience across AI, machine learning, and data science. I now build software and AI/ML products as an independent builder.
Previously, I held Director of Machine Learning and Chief Data Scientist roles at industry-leading software product and AI/DS services organizations. This followed the acquisition of a data science and AI consulting startup where I joined as the first Data Scientist and helped grow the company from 4 to 30+ employees.
Before joining the industry world I did research at the National Cancer Institute and in the AI Group at the University of Maryland (UMD) . I received my Ph.D. (2012) and M.S. in CS at UMD, co-advised by Dana Nau (CS) and Michele Gelfand (Cultural Psychology). My interest in interdisciplinary work and research launched under Bill Manaris during my B.S. in Data Science at the College of Charleston (2007).
I grew up in Bavaria, Germany and became a US citizen after having lived in the US for about half of my life. Outside of work I spend a lot of time training and (no longer really) competing in Muay Thai.
Recent Posts
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Managing High Technical Talent in Machine Learning and Engineering
Practical leadership patterns for high-performing ML and engineering teams.
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Using PySpark and Pandas UDFs to Train Scikit-Learn Models Distributedly
A practical pattern for distributed model training by group in Spark.
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Mining for Viral Expression in Human Cancer
Notes on large-scale genomic analysis linking viral expression and cancer.
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Moving Matters - Ethnocentric Behavior Decreases When Societal Mobility Rises
A short note on the UMD press release for our work on mobility and ethnocentrism.
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Evolutionary Graph Theory and Community Detection in Networks
Notes on collaborative work in evolutionary graph analytics and geo-spatial community detection.