> (MIDAS) is currently seeking applications for its 2022 Michigan Data Science Fellows (DS Fellows) Program. This two-year program provides outstanding early-career researchers with intensive data science experience as they ready themselves for independent research and faculty positions.Â
Michigan Data Science Fellows
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
Alumni
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
Edgar Franco Vivanco
Assistant Professor, Dept. Political Science, University of Michigan
Ann Arbor, MI
