A set of core faculty, here referred to as the Data Science Program Review Board, will oversee the offering of the program and its growth, including:
- Director of Data Science
- Professor, Computer Science
My research focuses on how to make use of data and information in an effective manner - for achieving goals in business, scientific discovery, health services, or personal endeavors. I love every moment of working with students and colleagues at WPI. Read more...
Washburn Shops, 205
- Professor, School of Business
My teaching focuses on how organizations use computing technologies such as databases and enterprise systems. Students in my classes and on my MQP teams learn to design computing applications that address organizational needs. My research complements my teaching. For example, I am working with healthcare organizations using electronic health records systems to improve healthcare delivery. Read more...
Stratton Hall, 105C
- Professor, Mathematical Sciences
Recently, I have focused my energies more on statistics education as well as collaborations with researchers in other fields, primarily the biomedical sciences. I enjoy teaching statistics courses at all levels, both undergraduate and graduate. Read more...
- Associate Professor, Computer Science
Carolina Ruiz's research interests are in data mining, machine learning, and artificial intelligence. In addition to being a faculty member in cs, she is a founder and active member of the bioinformatics and computational biology program at WPI. Read more...
- Assistant Professor, School of Business
I love the art of teaching because it provides an opportunity to give back from all that I've received. I enjoy the back-and-forth interplay with students, with alternative questions and answers, because these connections foster learning on both sides. One of my goals is to make the course content relevant through proper integration of technology as well as aspects of my research. Read more...
- Associate Professor, Mathematical Sciences
His current research includes Analysis & modeling of financial volatility and of volatility-based instruments using theory and massively parallel computing. Read more...