About the Program

The two-year Fellows Program accepts recent PhDs who excel in their respective fields and whose work is in data science.  They will work at the boundaries of data science methods and domain sciences in an intellectually vibrant environment, and develop collaborative relationships with the U-M data science community.

The Fellows program is a component of MIDAS’ effort to catalyze the transformative use of Data Science in a wide range of disciplines to achieve lasting societal impact, through research, education, outreach and partnership.

Now accepting applications for 2023

Current Fellows

efrén cruz cortés

Bias and discrimination in algorithms

Profile picture of Bernardo Modenesi

Bernardo Modenesi

Data Science

Elyse Thulin

Computational methods to better understand human behaviors

Maria Han Veiga

Developing techniques for multi-scale modelling


Stephen Ajwang

Faculty Member, Rongo University


Maryam Bagherian

Maryam Bagherian

Research Fellow, Yale University

New Haven, CT

Arya Farahi

 Assistant Professor, Statistics and Data Science, University of Texas, Austin

Austin, TX

Dan Li

Research Scientist, Rockwell Automation

Austin, TX

Qianying Lin

Postdoc, Los Alamos National Laboratory

Los Alamos, NM

Johanna Okerlund

Assistant Professor, College of Information Science and Technology, Penn State

University Park, PA

Patrick Park

Assistant Professor, Carnegie Mellon Software Engineering Institute

Pittsburgh, PA

Elyas Sabeti

General Motors Data Science Research Scientist

Austin, TX

Ian Stewart

Senior Research Scientist, Pacific Northwest National Laboratory

Richland, WA

Edgar Franco Vivanco

Assistant Professor, Dept. Political Science, University of Michigan

Ann Arbor, MI

Blair Winograd

Ford Motor Company Data Science Research and Consulting

Allen Park, MI