About
Adam Tashman is an Associate Professor of Data Science at the School of Data Science, University of Virginia, where he also served as the former director of the Online M.S. in Data Science Program. He teaches courses in big data systems, programming for data science, R programming, mathematical finance, actuarial statistics, probability and statistics, and survival analysis.
His research interests include:
- Natural Language Processing
- Machine Learning
- Deep Learning
- Computer Vision
- Biomedical Informatics
- Quantitative Finance
Before joining the faculty in 2021, Tashman held visiting academic positions at the University of Virginia and the University of California, Santa Barbara. His work bridges academic research and industry applications in finance, healthcare, and technology.
His scientific contributions are supported by a strong educational foundation and extensive industry experience.
- Ph.D. and M.S. in Applied Mathematics and Statistics, Stony Brook University
- M.A. in Mathematics and Finance, Columbia University
- B.A. in Mathematics, University of Virginia
Adam Tashman has held leadership roles in data science and quantitative analysis across major financial and technology firms.
- Director of Data Science and Artificial Intelligence, CliniComp
- VP and Head of Data Science, Carpe Data
- Head of Data Science, FinMason
- Senior Risk Consultant, Citizens Financial Group
- Biostatistical Consultant, Fresenius Medical Care
- VP and Senior Quantitative Analyst, Royal Bank of Scotland
- Statistical Consultant, Yahoo!
- VP of Quantitative Research, Citi
He is actively engaged in academic and professional data science communities, with a LinkedIn profile reflecting his industry and academic network.
