Rina Friedberg

Rina Friedberg is a Ph.D. statistician with a deep passion for research and data science. Her work spans various problem areas at the nexus of economics, machine learning, social good, and mathematics.

She holds a Bachelor of Science (B.Sc.) degree in Mathematics from The University of Chicago and a Doctor of Philosophy (Ph.D.) in Statistics from Stanford University.

Rina Friedberg has a diverse professional experience that includes working as a Machine Learning Researcher at LinkedIn, serving as a Statistics Consultant at Nines, and being a former PHD Candidate at Stanford University.

She has also contributed to organizations such as the Weizmann Institute of Science as a Kupcinet Getz Fellow, The University of Chicago as a Teaching Assistant, Williams College as part of the SMALL Research Experience for Undergraduates (REU), University of Pittsburgh at the Summer Institute for Training in Biostatistics, and Carleton College at the Summer Mathematics Program for Women.

Rina Friedberg's academic and professional journey showcases her dedication to academia, research, and utilizing statistical methodologies in various interdisciplinary fields.