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.
In my leisure time, I do abstract painting .
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.
Recent Publications
Sample Efficient Learning of Predictors that Complement Humans
Mohammad-Amin Charusaie, Hussein Mozannar, David Sontag, and Samira Samadi
International Conference on Machine Learning [ICML'22] [pdf]
Socially Fair k-Means Clustering
Mehrdad Ghadiri, Samira Samadi, and Santosh Vempala
ACM Conference on Fairness, Accountability, and Transparency [ACM FAccT '21] [pdf][Code]
[Talk at the ELLIS Workshop on Foundations of Algorithmic Fairness][Talk at IDEAL workshop on Algorithms and their Social Impact]
Human Aspects of Machine Learning
Ph.D. thesis, Georgia Tech, 2020 [pdf]
A Human in the Loop is Not Enough: The Need for Human-Subject Experiments in Facial Recognition
Forough Poursabzi-Sangdeh, Samira Samadi, Jennifer Wortman Vaughan, and Hanna Wallach
Fair and Responsible AI workshop [CHI’20][pdf][Article by Georgia Tech][Article by biometricupdate.com]
Guarantees for Spectral Clustering with Fairness Constraints
Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi, and Jamie Morgenstern
International Conference on Machine Learning [ICML'19][pdf][code][poster][press][Talk at UMass CICS]
The Price of Fair PCA: One Extra Dimension
Samira Samadi, Uthaipon Tantipongpipat, Jamie Morgenstern, Mohit Singh, and Santosh Vempala
Conference on Neural Information Processing Systems [NeurIPS'18][pdf][code][press][Talk at UMass CICS]
Research Team
Teaching
Fairness in Machine Learning Seminar, Spring 2021
University of Tübingen. With Thomas Grote and Philipp Hennig
Professional Experience
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
Contact
ssamadi@tuebingen.mpg.de