Postdoctoral Fellows

The Data Institute welcomes 1-2 postdoctoral fellows a year from STEM ﬁelds who are interested in postdoctoral training and a career in either industry or academia. Postdoctoral fellows compliment their previous training with access to all MS in Data Science courses and Data Institute certificate programs before working on projects for a sponsoring Data Institute corporate, foundation, government or nonprofit partner.

Apply to be a Data Institute Post-Doctoral Fellow

2020 Fellows

Michael Ruddy

Michael is interested in how geometric and algebraic tools can be used in data science, in particular how differential, integral, and algebraic invariants can be applied in shape analysis.

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2019 Fellows

Issa Tahir Bachar

Issa did research on longtime behavior of mathematical models that describe movement of species influence by chemicals in their environments. Here at USF he's developing mathematical models that will help understand and improve machine learning methods.

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Isabel Houghton

Isabel conducted research in the field of fluid dynamics, specifically utilizing experiments to study the dynamics of collective swimmers, like zooplankton, and their impact on transport and mixing in the ocean.

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2018 Fellows

Abbie Popa

Abbie's research examined electrical brain signals from adolescents with and without anxiety. She showed differences in signals associated with attention and behavioral inhibition in adolescents.

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Lara Reichmann

Lara is an ecosystem ecologist interested in Data Science as a tool for minimizing the impacts of climate change. Her research addresses diverse topics including biofuels, phytoremediation, and climate change.

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Contact Info

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