Cambridge, MA – The Kempner Institute for the Study of Natural and Artificial Intelligence today announced the names of the 22 students chosen as the inaugural cohort of Kempner Graduate Fellows. This year’s recipients include eight incoming and fourteen continuing graduate students enrolled across nine Harvard Ph.D. programs.
The 2023 recipients of the Kempner graduate fellowship are: Natalie Abreu, Gustaf Ahdritz, Usha Bhalla, Colton Casto, Shubham Choudhary, Zachariah (Zach) Cohen, Fenil Doshi, Ada Fang, Dianna Hidalgo, Ann Huang, Mozes Jacobs, Anat Kleiman, Kenneth Li, Shuze Liu, Sonia Murthy, Mohammed Osman, Yongsoo Ra, Sabarish Sainathan, Ciara Sypherd, William Tong, William Qian, and Hugh Zhang.
“We are thrilled to welcome our first cohort of graduate fellows to the Kempner,” said Ella Batty, assistant director for educational programs at the Kempner. “Graduate students are a cornerstone of our community. Each of these exceptional students is pursuing research that will push the boundaries of what we currently know about intelligence.”
While fellows have a primary research focus aligned with the Kempner’s mission of understanding the basis of intelligence, the Kempner graduate fellowship supports a diverse community of Ph.D. students, seeding new and innovative scientific discovery in departments and labs across the University. This year’s graduate fellowship recipients are Ph.D. students in a range of disciplines, including Computer Science, Speech Hearing Bioscience & Technology, Program in Neuroscience, Applied Math, Biophysics, Chemistry & Chemical Biology, Electrical Engineering, Psychology, and Bioengineering.
Kempner graduate fellows receive mentorship, access to the Kempner’s computing resources and facilities, and funding up to and including the 6th year of graduate school.
About the Kempner Institute
The Kempner Institute seeks to better understand the basis of intelligence in natural and artificial systems by recruiting and training future generations of researchers to study intelligence from biological, cognitive, engineering, and computational perspectives. Its bold premise is that the fields of natural and artificial intelligence are intimately interconnected; the next generation of artificial intelligence (AI) will require the same principles that our brains use for fast, flexible natural reasoning, and understanding how our brains compute and reason can be elucidated by theories developed for AI. Join the Kempner mailing list to learn more, and to receive updates and news.
Deborah Apsel Lang | (617) 495-7993 email@example.com