Fotios Kokkotos, Ph. D.
Associate Professor of Practice, Data Science
Dr. Fotios Kokkotos is an accredited professional statistician (PStat®) by the American Statistical Association with over 25 years of experience in statistical consulting. Dr. Kokkotos specializes in the analysis of massive and complex databases using advanced data science and statistical techniques. He has a wide range of experience in many areas of statistics and data science, including but not limited to data mining, predictive analytics, deep learning, economic modeling of patient health outcomes, and is also an expert in Medicare data.
Dr. Kokkotos is a long-time member of the American Statistical Association and the Mathematical Association of America and holds a doctorate degree in mathematical statistics from The American University in Washington DC, a master’s degree in applied statistics and a bachelor’s degree in mathematics, both obtained from Wright State University, in Dayton, Ohio.
His current research interests are the application of statistics, data mining and statistical computing, and Dr. Kokkotos is an author and reviewer of numerous articles and poster presentations in many scientific journals, conferences and academic institutions. He has been involved in many statistical research collaborations with colleagues from top universities, such as Harvard, Cornell, Tufts, Michigan and Northwestern. Fotios teaches Introduction to Data Science and Statistics, Data Governance and Privacy, and Predictive Modeling for the Data Science program.