Apr 03
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Matthew Bui

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Dr. Bui integrates interdisciplinary, sociotechnical, and community-based research methods and approaches to explore the opportunities for, and obstacles to, racial and data justice within society. Bui’s research primarily examines: 1) how individuals and communities call attention to—and subvert—issues of power and inequality within and through data and data science; and 2) the impacts of digital media and data-driven technologies within Black, Indigenous, and other People of Color (BIPOC) communities. In all, Dr. Bui seeks to advance both critical frameworks as well as novel data-driven methodologies that engage with the intersections of racial and data justice.

Apr 03
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Allen Flynn

Allen Flynn

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I study medication prescription information and work on teams that create and evaluate applications of natural language processing to medication prescription information. The main thrust of my research in pharmacy informatics focuses on automating subtasks that pertain to medication prescribing by clinicians and medication prescription review by pharmacists. In addition, I work with the Knowledge Systems Lab in the Department of Learning Health Sciences to specify model repository requirements for making AI/ML models findable, accessible. interoperable, and reusable.

Apr 03
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Christian Sandvig

Christian Sandvig

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I am a researcher specializing in discovering the consequences of computer systems that curate and organize culture. A major theme of my research investigates accountability mechanisms for machine learning and artificial intelligence. My research group coined the phrase “algorithmic auditing” in a 2014 paper; this was subsequently made suggested reading for submissions to the first ACM FAccT (Fairness, Accountability, and Transparency) Conferences. My work on algorithms and accountability was recommended by the White House Office of Science and Technology Policy in 2016 as one of five research strategies essential to the future of big data technologies in the US. I was the named plaintiff of a multi-year lawsuit against the federal government on behalf of computing researchers and journalists; this lawsuit changed the legal definition of “hacking” in the United States in 2022. I have also published research about social media, wireless systems, broadband Internet, online video, domain names, and Internet policy. My group blog about social media platforms was named one of the “Must-Follow Feeds” in science by Wired magazine.

A researcher tests a counterfeit, unauthorized copy of allegedly privacy-protecting fabric stolen from Adam Harvey's HyperFace design.

A researcher tests a counterfeit, unauthorized copy of allegedly privacy-protecting fabric stolen from Adam Harvey’s HyperFace design.

Apr 03
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Johanna Mathieu

Johanna Mathieu

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My research focuses on ways to reduce the environmental impact, cost, and inefficiency of electric power systems via new operational and control strategies. I am particularly interested in developing new methods to actively engage distributed flexible resources such as energy storage, electric loads, and distributed renewable resources in power system operation. This is especially important in power systems with high penetrations of intermittent renewable energy resources such as wind and solar. In my work, I use methods from a variety of fields including control systems and optimization. I also use engineering methods to inform energy policy.

Apr 03
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Derek Van Berkel

Derek Van Berkel

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Dr. Van Berkel is an assistant professor at The University of Michigan, School for Environment and Sustainability. His research focuses on understanding land change at diverse scales; the physical and psychological benefit of exposure to natural environments; and how digital visualization of data can add new place-based knowledge in science and community decision-making. He has expertise in spatial statistics, data science, big data, and machine learning. Van Berkel is currently a Co-PI on an NSF grant examining how online webtools can enable the public to co-create landscape designs for novel solutions to climate-change adaptation and mitigation in urban areas. He is also part of the NOAA funded GLISA project developing land change models to support knowledge discovery in municipalities throughout the Great Lake States. His work in AI focuses on deciphering complex sentiment from multimodal content, such as understanding image content and analyzing captions and tags posted by users, at scale. This research aims to provide objective measures of behavior and attitude for modeling diverse values and benefits of nature globally.

Mar 27
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Andrew Wu

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My research focuses on the interface of technology, finance and operations management. I develop and apply new approaches in natural language processing (NLP) and text analytics to study emerging and classic OM problems including (1) new marketplaces in both Fintech and Edtech, (2) supply chain risks, and (3) societal impact of OM/financial decisions.

Feb 16
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Cheng Li

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My research focuses on developing advanced numerical models and computational tools to enhance our understanding and prediction capabilities for both terrestrial and extraterrestrial climate systems. By leveraging the power of data science, I aim to unravel the complexities of atmospheric dynamics and climate processes on Earth, as well as on other planets such as Mars, Venus, and Jupiter.

My approach involves the integration of large-scale datasets, including satellite observations and ground-based measurements, with statistical methods and sophisticated machine learning algorithms including vision-based large models. This enables me to extract meaningful insights and improve the accuracy of climate models, which are crucial for weather forecasting, climate change projections, and planetary exploration.

Feb 07
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Fan Bu

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I am broadly interested in Bayesian and computational statistics for analyzing large-scale and complex data. I am particularly interested in spatio-temporal statistics, network inference, infectious disease models, and distributed learning. My methodological research has been motivated by applications in public health, observational healthcare studies, computational social science, and sports sciences.

I came from a math background but studied statistics in order to become a sports analyst (yes, Moneyball!). Throughout my PhD and postdoc training, I grew a strong appreciation for social sciences (how people behave and interact) and health sciences (how to provide high-quality healthcare for everyone). I see data science as the field to help us make sense of complex data that arise from our daily life and scientific endeavors, by building reliable and reproducible frameworks that transform data to evidence and then to scientific findings and decisions.

Feb 07
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Terra Sztain

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The Sztain research group is broadly focused on computer-aided molecular design, intersecting fields of chemistry, physics, biology, and computer science. Ongoing projects involve integrating experimental data and enhanced sampling molecular dynamics simulations to improve computational models for allosteric inhibitor design and protein engineering.

Jan 16
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Joelle Abramowitz

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Dr. Joelle Abramowitz’s research examines the effects of different policies on individuals’ major life decisions and wellbeing including on health insurance and medical out-of-pocket expenditures as well as bigger picture effects on outcomes such as marriage, fertility, and work. She has worked intimately with a variety of datasets containing health insurance, demographic, employer, and administrative information, developing an expertise in the benefits, shortcomings, and intricacies of using and linking alternate datasets as well as a familiarity with the relevant literature, analytical approaches, and policy history in this line of research. In ongoing work, she applies this experience to enhancing Health and Retirement Study data through linkage with Census Bureau data on employers as part of the CenHRS project. This work includes considering how employer-sponsored health insurance offerings are changing in response to an aging workforce as well as changes in the employment arrangements of individuals nearing retirement. To this end, she considers how such changes affect a range of health- and economic-related outcomes, including physical and emotional wellbeing as well as economic security in retirement.