Graduate faculty and staff
Faculty and staff for the master’s program in Applied Data Science.
Faculty and staff.
Graduate program faculty and staff. Undergraduate students also work with faculty across mathematics, statistics and computer science.
Gil Salu
Twenty-five years in software. Fourteen of them at Charles River Development, the institutional trading and portfolio management platform acquired by State Street, and earlier in senior client technology and solutions roles at IBM. Advises Fortune 500 asset managers on technology adoption, AI integration, and cryptographic tools.
Rohan Loveland
D.Phil. in Electrical Engineering, Oxford University; MBA, University of Texas at Austin. Worked on classified projects at Los Alamos National Laboratory, then served as CEO of a biomedical device startup that won FDA approval. Holds two patents.
Toby Wade
Ph.D. in Statistics, London School of Economics. Twenty years across equities, cryptocurrencies, futures, and currencies at hedge funds, exchanges, and banks. Quoted in the Financial Times, Institutional Investor, CNBC, and Yahoo Finance.
Andrey Skripnikov
Ph.D. and M.S. in Statistics, University of Florida; BSc, Lomonosov Moscow State University. Postdoctoral associate and lecturer at the University of Houston. Researches high-dimensional data and time series, applied to gene expression, brain activity, and sports data.
Tyrone Ryba
Ph.D., Florida State University; B.A., New College of Florida. A computational biologist working on epigenetic regulation and the biology of human disease, examining how large-scale domain regulation goes wrong in respiratory disorders and cancers.
Angel Novikov
Ph.D., University of Florida. Chief AI Officer, Chief Data Officer, and Managing Director at Analytical Strategies Group. Twelve years at Citi, most recently Senior Vice President and Global Processing Risk Design Head in Operational Risk Management. Earlier at Fannie Mae, Navigant Consulting, and Deloitte & Touche.
Melissa Elec
Admissions questions, visits, scheduling, and the practical business of getting a cohort from application to first day.
Bernhard Klingenberg
Ph.D. in Statistics, University of Florida; M.S., Graz University of Technology, Austria. Professor of Statistics at Williams College for more than a decade. Co-author of Statistics: The Art and Science of Learning from Data.