Nanette VeilleuxView profile
Professor
Nanette Veilleux is a Professor and Director of the Data Science Program at Simmons University, within the Department of Computer, Data, and Mathematical Sciences. She holds a Ph.D. in Systems Engineering from Boston University and has over 30 years of academic experience. Her research focuses on computational models of speech prosody and pedagogical strategies to enhance STEM retention. She has led NSF-funded projects, including collaborations on prosody and meaning, and serves as a Research Affiliate at MIT's Research Lab of Electronics. Veilleux is also a former Fulbright Scholar in Vietnam and Rwanda. Education: Ph.D., Systems Engineering, Boston University (1994) M.S.E.E., Electrical Engineering, Boston University (1988) Sc.B., Biophysics, Brown University (1979) Research Interests: Her work bridges computational linguistics and education. Key areas include intonational phonology (e.g., F0 scaling, tonal alignment) and STEM education equity, emphasizing faculty-student mentorship and community-building strategies. She co-developed the PoLaR annotation system for prosodic variation analysis. Recent Articles: Recent work explores machine learning applications in prosody (e.g., epistemic shifts in intonation) and evaluates AI tools like ChatGPT in academia. Her pedagogical research highlights coding bootcamps' role in fostering belongingness. Awards: 2022 IEEE Mary Kenneth Keller Teaching Award 2023 CRA-E Mentoring Award Fulbright Scholarships (Vietnam, 2021-22; Rwanda, 2013) Advising & Grants: Veilleux mentors 3-7 undergraduates annually, with grants supporting research in humanitarian software (e.g., automatic speech recognition for under-resourced languages) and inclusive STEM education. She leads the HHMI Simmons team and collaborates on national initiatives like the Colleges of the Fenway STEM Scholars program. Labs/Teams: Active in the Fulbright University Vietnam and Kilgali Institute partnerships, focusing on curriculum development and global STEM education.










