Laura Niss is a fifth year graduate student research assistant in statistics at the University of Michigan. Her research involves applications of bandit algorithms in education and fairness considerations in bandit algorithms. This work is done in collaboration with her advisor Ambuj Tewari.
PhD Statistics, 2021 (expected)
University of Michigan
MA Statistics, 2018
University of Michigan
BA Mathematics, 2015
University of Colorado at Boulder
BA Psychology, 2012
University of Colorado at Boulder