Peter Revay
About Peter Revay
Peter Revay is a Lead Computational Social Scientist at Two Six Technologies, where he has worked since 2023. He has a diverse background in research and writing, with previous roles at various institutions including Group W and the Smithsonian Institution.
Work at Two Six Technologies
Peter Revay currently serves as the Lead Computational Social Scientist at Two Six Technologies, a position he has held since 2023. Prior to this role, he worked at the same organization as a Senior Computational Social Scientist from 2022 to 2023. His work at Two Six Technologies focuses on utilizing advanced modeling and simulation techniques, as well as applying machine learning and artificial intelligence to address complex real-world challenges.
Previous Employment Experience
Before joining Two Six Technologies, Peter Revay worked as a Research Scientist at Group W from 2018 to 2022 in Vienna, VA. He also gained experience as a Staff Writer at Lidove noviny for five months in 2009. Additionally, he held roles as a Graduate Research Assistant at the Department of Computational and Data Sciences from 2014 to 2017, and as a Research Assistant at the Smithsonian Institution, Museum of Natural History for two months in 2015. His earlier experience includes working as a Teaching Assistant in the Department of Mathematics and Statistics from 2012 to 2014 and as a Content Editor at Tripomatic s.r.o. in 2011.
Education and Expertise
Peter Revay has an extensive educational background in computational social science and related fields. He earned a Doctor of Philosophy (PhD) in Computational Social Science from George Mason University, where he studied from 2014 to 2018. He also holds a Master of Science (M.S.) in Mathematics and a Graduate Certificate in Complex Systems from the University of Vermont, both completed between 2012 and 2014. Additionally, he obtained a Master of Arts (M.A.) in Sociology from Masaryk University Brno, where he studied from 2011 to 2015. His expertise includes applying machine learning and artificial intelligence techniques to solve complex problems.
Research and Technical Skills
In his role as a Computational Social Scientist, Peter Revay utilizes modeling and simulation techniques to analyze social phenomena. His work involves the application of machine learning and artificial intelligence to develop solutions for complex real-world issues. His technical skills are complemented by his academic background, which includes a strong foundation in mathematics and sociology.