Faculty
Faculty in the College of Arts & Sciences (CAS) are innovators in the classroom and leaders in their fields. Their diversity of disciplines, backgrounds, and perspectives contribute to an academic and scholarly experience that is vibrant, inclusive, respectful, and collaborative. And their impact is boundless. Their work drives positive change in critical areas including sustainability, justice, policy, civic engagement, mental healthcare, and scientific discovery. As a community, we support and celebrate their many achievements.
Outstanding & Innovative Teachers
Across multiple disciplines, CAS faculty advance innovative teaching and learning materials and techniques that inspire their students and colleagues and are adopted nationally by other faculty in their fields. Some examples include:
- Professor of Economics Alison Kelly Hawke, whose textbooks have become McGraw-Hill’s most successful brand in the fields of Business Statistics and Business Analytics and won McGraw-Hill Product of the Year Award for Business Analytics – Communicating with Numbers, 2020
- Associate Professor of Political Science Elena Llaudet, whose co-authored textbook with Harvard University Professor Kosuke Imai is receiving critical acclaim for making data science and its applications in the social sciences accessible to students with little to no math or coding background
- Associate Professor of Biology Celeste Peterson and Professor of Biochemistry, Chemistry, Environment & Physics Melanie Berkmen whose innovations in using AR/VR as a pedagogical tool to provide 4-D manipulatable, molecular models for biochemistry students has garnered NSF funding to share their techniques with STEM faculty from around the country as well as attention from META, the parent company that produces the Quest VR headsets they use
- CAS Faculty members Mary Beth Medvide, Jessica Gillooly, and Elena Llaudet, who have won the Suffolk University Innovative Teaching Award the last three years for their outstanding teaching innovations focused on experiential and applied learning