The Data Science Institute, in collaboration with the Office of the Vice President for Research, runs the Presidential Fellowships in Data Science program. 

Started with support from the Jefferson Trust, this program creates opportunities for graduate students in varying disciplines to work together on collaborative research projects that address and use Big Data. 

Graduate students from across the University of Virginia can search out collaborators to connect real-world problems with data-driven solutions. 


Meet the 2017-18 Presidential Fellows

Laura Barry

Laura Barry

Department of Environmental Sciences, College of Arts & Sciences

"Air pollution-ecosystem feedbacks: Unmanned aerial vehicles and ecosystem models to quantify ozone-forest interactions."


Caitlin Dreisbach

Caitlin Dreisbach

School of Nursing

"Mothers, Infants, Microbiome and Mental Health (MIMMs): A social neuroscience perspective of maternal-child health to unlock the potential of bio-banked data."


Anup Gampa

Anup Gampa

Department of Psychology, College of Arts & Sciences

"Echo Chambers, Audience, and Community: Studying the democratic use of social media with Big Data."


Yingnan Gao

Yingnan Gao

Department of Biology, College of Arts & Sciences

"Modeling Microbial Stability via Semiparametric High Dimensional Graphical Models."


Caroline Kelsey

Caroline Kelsey

Department of Psychology, College of Arts & Sciences

"Mothers, Infants, Microbiome and Mental Health (MIMMs): A social neuroscience perspective of maternal-child health to unlock the potential of bio-banked data."


Colin Keilty

Colin Kielty

Department of Politics, College of Arts & Sciences

"Echo Chambers, Audience, and Community: Studying the democratic use of social media with Big Data."


Derek Lam

Derek Lam

Department of Philosophy, College of Arts & Sciences

"Ethically Paternal: Value Directed Algorithms."


Alex Maxwell

Alex Maxwell

Department of Slavic Languages & Literatures, College of Arts & Sciences

"Censorship and Detecting Deception: A Data-Driven Look at Obfuscation in Soviet Dissident Writing Versus Misinformation in the USSR and Post-Truth Journalism in America."


Sarah McEleney

Sarah McEleney

Department of Slavic Languages & Literatures, College of Arts & Sciences

"Censorship and Detecting Deception: A Data-Driven Look at Obfuscation in Soviet Dissident Writing Versus Misinformation in the USSR and Post-Truth Journalism in America."


Tinyang Meng

Tinyang Meng

Department of Electrical and Computer Engineering, School of Engineering

"Air pollution-ecosystem feedbacks: Unmanned aerial vehicles and ecosystem models to quantify ozone-forest interactions."


Jessica Munyan

Jessica Munyan

Department of Environmental Sciences, College of Arts & Sciences

"Air pollution-ecosystem feedbacks: Unmanned aerial vehicles and ecosystem models to quantify ozone-forest interactions."


Mark Rucker

Mark Rucker

Department of Systems & Information Engineering, School of Engineering

"Ethically Paternal: Value Directed Algorithms."


Lu Tian

Lu Tian

Department of Systems & Information Engineering, School of Engineering

"Modeling Microbial Stability via Semiparametric High Dimensional Graphical Models."


Applications for the 2018-19 Presidential Fellows in Data Science are closed. For more information about the fellowships, visit the Office of Graduate and Postdoctoral Affairs. 

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