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.

Current Fellows

Maryam Bagherian

Tensor recovery and metric learning methods for multi-omic data

efrén cruz cortés

Bias and discrimination in algorithms

Dan Li

Data-driven learning, control and optimization for intelligent systems behavior

Qianying Lin

Epidemic inferences and trends

Ian Stewart

Developing and evaluating socially-aware natural language processing systems

Maria Han Veiga

Developing techniques for multi-scale modelling


Stephen Ajwang

Faculty Member, Rongo University


Arya Farahi

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

Austin, TX

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

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