Master of Science in Data Science | Merrimack Online Programs (2025)

Torrey is our success coach for the Data Science & Analytics program and is very important to the overall student experience. Throughout your time 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 earned her B.A. in Mathematics from the College of the Holy Cross and an M.Ed. in Higher Education from Merrimack College. You will get to engage with Torrey from the time you are admitted until you graduate, allowing you to have a consistent point of contact as you work to achieve your goals.

Michael Dupin, Ph.D., is the Head (and founder) of Data Science at C Space, a market research company where he leads the efforts on artificial intelligence. With more than twenty years of experience in data and statistical analytics, he is a self-confessed geek, data scientist, statistician, researcher, modeler, author, and sailor.

Prior to C Space, Mike held various roles within banking, where he led efforts such as macroeconomic stress testing, risk management, financial modeling, and statistical model validation. Before the corporate world, he was a research fellow at Harvard University modeling blood flow in tumors. He holds degrees in nuclear physics, instrumentation, and a Ph.D. in Computational Fluid Dynamics.

Dr. Yamil Guevara is an expert in the fields of artificial intelligence, machine learning, and data science. He holds an MBA and two master’s degrees in artificial iIntelligence and machine learning as well as economics. He received his first Ph.D. in Organization and Management and is working on his second Ph.D. in Computer Science with an emphasis on artificial intelligence.

In addition to teaching, he has eight years of experience working as a data scientist, developing machine learning models using classical machine learning and deep learning neural network (DNN) algorithms to solve business problems. Dr. Yamil Guevara has authored “How to Increase Online Student Retention Utilizing Machine Learning” (University of Arizona Global Campus Chronicle, 2021), “Dangers of Artificial Intelligence” (Medium, 2022), “The Impact of Artificial Intelligence on Society” (Medium, 2022), and “The Utilization of Artificial Intelligence in the Classroom” (University of Arizona Global Campus Chronicle, 2021).

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 a B.S. in Mathematics from William and Mary. Chris teaches Data Exploration for the Data Science & Analytics program. Chris teaches Visual Data Exploration for the Data Science program.

Jeremiah is a data scientist with nine years of experience in analytics. He is currently an 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, and 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 B.S. in Financial Analysis from Ball State University, an M.S. in Analytics from Dakota State University, and is pursuing an M.S. in Information Systems and Ph.D. from Dakota State University. Jeremiah teaches R and Python programming in the data science program.

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 the 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 Text and Image Mining courses.