Learn from Experts

in the Field of Data Science and Analytics

Dr. Michael Bradley
Professor and Department Chair, Data Science & Analytics, Merrimack College

Dr. Bradley is a Professor and Chair of the Department of Data Science and Analytics at Merrimack College. He holds a Ph.D. in mathematics from the University of Notre Dame and a B.A. in mathematics from Merrimack College.

Dr. Bradley’s areas of interest include data science, the history of mathematics, math education, and sports statistics. His book series Pioneers in Mathematics profiles the life and work of 50 famous mathematicians. He has written journal articles and undergraduate textbooks about discrete mathematics, calculus, and precalculus. He recently taught courses in Basic Statistics with Fantasy Football, Discrete Mathematics, Differential Equations, and Foundations of Data Science I.

Dr. Fotios Kokkotos
Associate Professor of Practice, Data Science & Analytics

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 Foundations of Statistical AnalysisPredictive Modeling, and Healthcare Analytics Capstone for the Data Science & Analytics program.

Joanna Blanchard, Ph.D.
Associate Professor of Practice, Data Science & Analytics

As a Faculty member of Merrimack College, Dr. Blanchard is driven by possibilities for students through this program.  Data Science is applicable in all industries and it is constantly evolving as new applications and new learning opportunities continue to be discovered. She believes strongly that those who gain an education in Data Science can enter career pathways in many different fields such as sports analytics, insurance, finance, hospitality, and retail, just to name a few, and they can be assured that their education will be in-demand.

Dr. Blanchard has presented at multiple conferences and has also authored several research studies.  She holds her undergraduate degree in Chemical Engineering from the University of Colorado-Boulder, and her Ph.D. from the Massachusetts Institute of Technology. She also has earned her master’s degree in Data Science from Merrimack College.  She teaches Foundations of Data Science I for the Data Science program.

Andrew Klein, M.S.P.
Data Scientist, Clear; Adjunct Faculty Member, Data Science & Analytics

Andrew Klein is a Data Scientist with 10 years of experience in the field. He currently is a Data Scientist at Clear. He has also previously worked for Fulcrum Analytics, & Agilex Technologies, and the New York Yankees. He holds both a Master’s in Statistics in 2015 and a Bachelor’s of Science in Statistics & Information Systems in 2011 from Carnegie Mellon University. Andrew’s professional website is https://www.quantifyingmylife.com/ where he blogs about using statistics and visualizations to analyze social data. Andrew has been teaching Data Visualization for the Data Science & Analytics program since 2018.

Peter Salemi, Ph.D.
Adjunct Faculty, Data Science & Analytics

Dr. Peter Salemi has over 10 years of experience in quantitative research, machine learning, and statistics in both academic and industry settings. As a data scientist at The MITRE Corporation, he works with several Federal agencies ranging from the United States Department of Veterans Affairs to the Centers for Medicare & Medicaid Services. Dr. Salemi received his Ph.D. in Operations Research from Northwestern University, an M.S. in Operations Research from the University of California, Berkeley, and a B.S. in Mathematics and B.B.A. in Finance from the University of Massachusetts, Amherst.

His academic research interests lie at the intersection of machine learning and stochastic simulation, and Dr. Salemi’s research has been published in Operations Research, ACM Transactions on Modeling and Computer Simulation, and Journal of Simulation. Dr. Salemi has also served as the co-chair of the Simulation Optimization track for the 2017, 2019, and 2020 Winter Simulation Conferences, and as a reviewer for several academic journals.  His teaching interests are machine learning, data management, and statistics. As an adjunct faculty member at Merrimack College, Dr. Salemi is the instructor for both the Machine Learning and Foundations of Data Management courses.

Abhijit Sanyal, Ph.D.
Sr. Advisor, Spinnaker Technologies; Adjunct Faculty Member, Data Science & Analytics

Dr. Sanyal has extensive experience in data science, machine learning, high-end analytics and marketing strategy within the retail, financial services, telecommunications, pharmaceuticals and other industries. He is currently a senior advisor with Spinnaker Technologies and a Principal with SP Analytics LLC. He has conducted over 400 projects while also having deep coding expertise in creating solution driven insights independently and with teams using SAS, SQL, R and Python as well as extensive knowledge of cloud based big data technologies.

Dr. Sanyal has an undergraduate degree in Electrical Engineering from I.I.T (Kharagpur), an MBA from I.I.M (Calcutta) and a Ph.D. (Marketing) from the University of Massachusetts at Amherst. He is currently working on two books on “Exploring Data with R” and “Customer Valuation using R and Python” which are expected in 2021.  Abhijit is currently teaching our Data Visualization, Fundamentals of Data Management, and Data Exploration courses.

Chris Healey, Ph.D.
Adjunct Faculty, Data Science & Analytics

Chris is a Data Science Lead at Schneider Electric – a multinational power electronics, energy storage, and building management company.  He leads work in industrial applications of data science for predictive maintenance, intelligent alarm management, and efficient use of devices.  He is deeply interested in robust decision-making through stochastic optimization and interpretation of machine learning models.  A long-time member of INFORMS, he has authored several refereed papers and been granted multiple patents.

Chris received a Ph.D. in Industrial Engineering from Georgia Tech and BS in Mathematics from William and Mary. Chris teaches Data Exploration for the Data Science & Analytics program.

Success Coach

Torrey Walker DiPalma, M.Ed.
Success Coach, Data Science & Analytics

Torrey is our success coach for the Data Science & Analytics program and is very important to the overall student experience.  Throughout your time in working towards your degree, Torrey will help address many of the questions you may have “outside the classroom”.  In doing so, Torrey will help free more of your time to concentrate on mastering the content that is so important to your program progression.

Torrey has earned her BA in Mathematics from the College of the Holy Cross and has earned her M.Ed. in Higher Education from Merrimack College.  You will get to engage with Torrey from the time you are admitted until the time you graduate, allowing you to have a consistent point of contact as you work to achieve your goals!

Jeremiah Lowhorn

Adjunct Faculty, Data Science & Analytics

Jeremiah is a Data Scientist with nine years of experience in analytics. He is currently and adjunct faculty member in the Data Science & Analytics program.  His interests include computer vision, natural language processing, time series analysis, and distributed computing. Jeremiah is fluent in R, Python, VBA, SQL, and is interested in learning new programming languages.

In his leisure he spends time with his wife Brooke and son Magnus. Jeremiah holds a BS in Financial Analysis from Ball State University, a MS in Analytics from Dakota State University, and is pursuing an MSIS and PhD from Dakota State University.