Kayla Spring Cummings, MIT PhD candidate, to present on Case Studies of COVID-19 and DTaP
September 30, 1:30pm in Hislop Auditorium, HOLM 116
Lecture is open to all students, faculty, staff and interested parties.
Kayla Cummings is a PhD candidate in Operations Research at the Massachusetts Institute of
Technology, advised by Alexandre Jacquillat and Vikrant Vaze. In her graduate work, she develops
decomposition methods for large-scale optimization models toward integrated and optimal design of
urban transportation systems. She has conducted research in cybersecurity, computational mathematics,
operations research, graph theory, and algorithmic algebraic geometry at Oak Ridge National Laboratory,
DIMACS at Rutgers University, Harvey Mudd College, Pomona College, and Texas A&M University. Kayla
is a recipient of the MIT Teaching + Learning Lab’s Teaching Development Fellowship, the NSF Graduate
Research Fellowship, and the 2018 INFORMS Undergraduate Research Prize. She graduated magna cum
laude with a B.A. in Mathematics from Pomona College. In her spare time, Kayla loves indoor rock
climbing, distance running, classical piano, reading, petting every dog she encounters, and consuming
expensive coffee.