Clayton Bass, Valedictorian at Dartmouth College

Clayton Bass Valedictorian pic {Clayton is front row left} photo by: Eli Burakian
On June 12, Dartmouth College in Hanover, New Hampshire, recognized 20 undergraduate members of the Class of 2022 during commencement, who have earned top academic honors in their class.
Each of the 13 valedictorians earned a cumulative 4.0 grade point average across their Dartmouth careers including Clayton Bass of Harrison.
A committee representing the dean of the Faculty of Arts & Sciences and the dean of the College selected Barales-Lopez to deliver the valedictory address to the Class of 2022. NFL Quarterback Russell Wilson gave the Commencement address.
“These outstanding student-scholars exemplify the depth and scope of the liberal arts,” says Elizabeth Smith, dean of the Faculty of Arts & Sciences. “On behalf of the faculty, I congratulate them on all that they have achieved at Dartmouth and wish them the best in all their future pursuits.”
As a Mathematical Data Science major, Phi Beta Kappa, Clayton Bass, Valedictorian, says his primary academic interest is in predictive games—applying machine learning to finance, sports, and business decision-making. He also is passionate about how data science can help inform medical decisions.
As a James O. Freedman Presidential Scholar with Assistant Professor of Computer Science Soroush Vosoughi, he developed machine-learning models to predict NFL games. He was an early inductee into Phi Beta Kappa and received 10 citations for outstanding performance in his coursework.
Among his Dartmouth activities, he was fundraising project leader for The Dartmouth student newspaper’s business development staff, for which he won a business development award. He was also treasurer for the Dartmouth Mathematical Society, a member of the club squash team and Beta Alpha Omega fraternity, and a business development member of the Aegis yearbook staff.
Bass interned at the hedge funds WorldQuant and Point72. After graduation, Bass will return to Point72 in New York City as a data scientist/quantitative analyst.