My research background is in machine learning and algorithm design with a recent focus on optimizing human ML teaming. I study the interactions between humans and ML and use my findings to design hybrid ML systems that augment humans’ abilities rather than replace them. Most of the questions that I study are inspired by medical applications and public health.
I got my Ph.D. in Computer Science at Georgia Tech under the supervision of Prof. Santosh Vempala.
For future students: I am a faculty at the International Max Planck Research School (IMPRS-IS) and an associated faculty at the Max Planck ETH Center for Learning Systems (CLS). If you are interested to work with me as a Ph.D. student please apply through these portals. For M.Sc. thesis projects, internships, and postdoc positions please email me your application including your CV and transcripts.
Socially Fair k-Means Clustering
Mehrdad Ghadiri, Samira Samadi, and Santosh Vempala
Fairness in Machine Learning Seminar, Spring 2021
University of Tübingen. With Thomas Grote and Philipp Hennig
Microsoft Research NYC, Spring 2019
Intern. Hosts: Jenn Wortman Vaughan and Hanna Wallach
Toyota Technological Institute at Chicago, Summer 2018
Intern. Host: Avrim Blum
Sentient Technologies, San Francisco, Summer 2016
Intern. Host: Phil Long
University of Waterloo, 2014-2015
Visiting research associate. Host: Shai Ben-David