R’MANI HAULCY

R’mani Haulcy is a Ph.D candidate in Electrical Engineering and Computer Science with a concentration in Computer Science and Artificial Intelligence at MIT. Her research focuses on using machine learning and speech audio to identify health-related biomarkers associated with cognitive disorders, such as dementia. She is an Alfred P. Sloan 2017-18 Scholar and has received several fellowships, including the Frank Quick fellowship and MathWorks Engineering fellowship. R’mani received a Bachelor of Science in Electrical Engineering from Yale University. She has been a passionate volunteer and mentor for minority students through her work in STEM teaching and mentoring programs, such as MIT Women’s Technology program, Beautiful Patterns, and the National Society of Black Engineers (NSBE). R’mani hopes to continue to support and guide students from underrepresented backgrounds towards STEM fields.

• Raphael E. Stern, Shumo Cui, Maria Laura Delle Monache, Rahul Bhadani, Matt Bunting, Miles Churchill, Nathaniel Hamilton, R’mani Haulcy, Hannah Pohlmann, Fangyu Wu, Benedetto Piccoli, Benjamin Seibold, Jonathan Sprinkle, Daniel B. Work. Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments. Transportation Research Part C: Emerging Technologies, Volume 89, 2018, Pages 205-221.

• MathWorks Engineering Fellowship, Fall 2020 – Spring 2021
• Frank Quick Fellowship, Fall 2019
• Innovation Discovery Japan/ MIT MISTI Fellowship, January 2018
• MIT Presidential Graduate Fellowship, 2017-2018
• Sloan Scholar, Alfred P. Sloan Foundation’s Minority PhD (MPHD) Program, 2017-current
• Richard U. Light Fellowship/ Harvard Beijing Academy, Summer 2014