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Nada Lachtar and Dania Ammar, both Ph.D. candidates in the College of Engineering and Computer Science, received the award in recognition of their high profile research on ransomware attacks and autonomous vehicles, respectively.
A ubiquitous, environmentally toxic modern plastic, PVC was once considered unrecyclable. New research from a U-M team, including Rackham alumna Sofia Camarero, has found a way to not only recycle it, but to turn its toxic components into useful products.
Sociology doctoral candidate Aya Waller-Bey discussed trauma narratives and why we glorify hardship.
Penny W. Stamps School of Art & Design M.F.A. alumnus and filmmaker Razi Jafri’s documentary raises awareness about the everyday struggles of refugees around the world.
Every dish has a story to tell. Rackham student and food historian Khánh Linh Trinh studies the evolution and legacy of the Vietnamese noodle soup phở’.
Pharmacology Ph.D. candidate Loyda Morales leveraged her U-M education and launched a new career trajectory during her experience as a medical affairs intern at Takeda Pharmaceutical Company Limited, supported by the Rackham Doctoral Intern Fellowship Program.
As Russia’s invasion of Ukraine continues, sociology Ph.D. candidate Kristin Foringer and a team of U-M researchers are working with the Reckoning Project to collect eyewitness testimonies of the violence—and use them to gather evidence of war crimes.
Erin Leary is in the second year of her Ph.D. in the Department of American Culture, researching the intersection of Indigenous studies and climate change. Leary’s (Re)mapping project seeks to recenter Indigenous knowledge through placemaking.
Penny W. Stamps School of Art & Design graduate student Emerson Granillo’s durational performance art and installations invite curiosity, investigate shame, and require an unwavering commitment to their creative choices to succeed.
When decisions about your healthcare are informed by AI, bias in machine learning can have dire consequences. Ph.D. student Trenton Chang researches how inequities in healthcare delivery impact machine learning and AI.