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Alumni

Jeremy Seeman

I’m broadly interested in understanding how public data curators embed socially desirable values like privacy and confidentiality protections, equity, and reproducibility into their data publishing practices. My methodological research combines tools from theoretical computer science and computational social science to design and characterize complex structured errors induced by these practices. In doing so, I aim ...

Bernardo Modenesi

The labor market is a setting increasingly disrupted by AI (both in allocation of wages and of jobs) and yet understudied in the ethical AI research space. My research agenda has been focused on the combination of unsupervised learning methods, from network theory, and discrete choice tools, in order to improve the understanding of labor ...

Elyse Thulin

My research focuses on applications of computational methods to better understand human behaviors. One of my main projects applies natural language processing methods to examine interactions in an online substance use recovery group to better understand substance use recovery pathways, mental health, and social relationships. Accomplishments and Awards Sandy Hook Promise, University Of Michigan School ...

Maryam Bagherian

My background is in applied mathematics and my primary research interest centers on developing algorithms and methodologies for data science using machine learning. More specifically, I am focused on developing algorithms for multidimensional multimodal big data which find primary application in medicine yet it is generalizable to other branches where bid data emerge.  My current ...

Stephen Ajwang

Stephen Ajwang is a Tutorial Fellow in the Department of Informatics and Information Science at Rongo University, Kenya, where he also received his MSc in Information Technology. He is also pursuing a PhD in Information Technology. His research interest lies in the realm of Big data analytics for climate smart agriculture. The increasing volume of ...

efrén cruz cortés

efrén studies the way algorithms reproduce bias and discrimination. Automated procedures are often designed to mimic the historical data humans have generated. Therefore, unintendedly, they have learned to discriminate based on class, race, gender, and other vulnerable groups. Such a phenomenon has serious consequences, as it may lead to furthering economic inequality, depriving the poor ...

Dan Li

Intelligent systems behaviors, usually concealed, are almost everywhere nowadays: human-like virtual interactions, responsive financial systems, flexible traffic allocation, and more. Beneath the surface, intelligent systems encompass the developments of learning, abstraction and inference, of which large amounts of data are the core. My research focuses on developing online-data-driven approaches to support theoretical and algorithmic foundations ...

Johanna Okerlund

While applications of computer science and data science have significant impact on our lives and society, computer science education tends to focus only on the technical aspects. Ethics is sometimes incorporated into the Computer Science curriculum, but typically in a stand alone course that students do not take until close to the end of their ...

Ian Stewart

Ian is interested in building natural language processing models that incorporate social information to improve the writing experience for system users. Ian is also interested in computational social science to better understand the benefits and limitations of discussions on social media platforms such as Twitter and Reddit.

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Methodologies

Applications

Stephen Ajwang

Tutorial Fellow, Department of Informatics and Information Science, Rongo University, Kenya

Data Science Fellow Alum, MIDAS

Maryam Bagherian

Assistant Professor, College of Science & Mathematics, University of Massachusetts Boston

Data Science Fellow Alum, MIDAS

efrén cruz cortés

Data Scientist, Northwestern University

Data Science Fellow Alum, MIDAS

Arya Farahi

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

Data Science Fellow Alum, MIDAS

Dan Li

Research Scientist, Rockwell Automation

Data Science Fellow Alum, MIDAS

Qianying Lin

Postdoc Research Associate, Los Alamos National Laboratory

Data Science Fellow Alum, MIDAS

Bernardo Modenesi

Data Science Fellow, Michigan Institute for Data Science

Johanna Okerlund

Data Science Fellow Alum, MIDAS

Patrick Park

Assistant Professor, Software Engineering Institute, Carnegie Mellon University

Data Science Fellow Alum, MIDAS