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 new 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.
Fellows
Arya Farahi
Cosmology and its intersection with fundamental physics
Qianying Lin
Epidemic inferences and trends
Patrick Park
Structure and evolution of large-scale human social networks
Elyas Sabeti
Develop theory and algorithms for analysis of medical Big Data
Maria Han Veiga
Developing techniques for multi-scale modelling
Edgar Franco Vivanco
Examining how colonial-era institutions and contemporary criminal violence shape economic under-performance
Blair Winograd
Combining conceptual writing prompts, automated peer review, NLP, and automated personalized feedback to create an infrastructure for writing at scale
