The DICE research group brings together graduate and undergraduate researchers who are interested in drawing the most benefit from the smallest amount of data while addressing the statistical, computational, and societal aspects of modern data analysis. Under the guidance of Professor Mesrob Ohannessian, students design learning algorithms that adapt to structure in data and make non-discriminatory algorithmic decisions both computationally feasible and aware of their long-term societal impact. The group works both on the theoretical front and on applied use-cases, ranging from natural language modeling to equitable access to vaccination.

Meet the team!