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News
Mar 16, 2026 | by Catha Mayor
Dartmouth Engineering PhD Students Help Expand Generative AI Teaching Kit with NVIDIA
A collaboration between Dartmouth and the NVIDIA Deep Learning Institute, the kit has been expanded to include instructional videos by engineering PhD candidates Bruno Miranda Henrique and Anthony Ragazzi.News
Mar 05, 2026
Dartmouth Engineering Study Presents Simple, Affordable Tool to Measure Tissue Oxygen and Health
Feb 25, 2026 | Irving Institute
Cong Chen: Advancing the Energy Transition through Computation & Collaboration
In the News
MassLive
Mar 11, 2026
The birthplace of AI is striving to shape what it becomes—right here in New England
Engineering PhD candidates Bruno Miranda Henrique and Anthony Ragazzi are featured in a story about how AI research at Dartmouth builds on the legacy of the 1956 Summer Research Project. "The field gets sort of a bad rep for the accelerationist, end-of-the-world side of things, but in reality, if used correctly, a lot of these tools have the ability to transform society for the better," said Colin Wolfe '27.
Forbes
Feb 11, 2026
Forbes 250: America's Greatest Innovators
Professor Eric Fossum and alum Mira Murati Th'12 are named in Forbes' list of America's greatest living innovators. Fossum for inventing the technology that makes the selfie possible. Murati for her former role as OpenAI's CTO building tools for collaborative AI development.
Bloomberg
Feb 09, 2026
Junior Bankers Are Teaching Their Elders How to Use AI
Hailey Mullen '24 Th'25 is quoted in an article about how junior bankers are implementing AI. "I got to approach AI with a lot of curiosity and creativity in a very unstructured, unregulated environment," Mullen said of working with professors at Dartmouth who embraced AI.
Reuters
Feb 03, 2026
Olympic-Alpine skiing-Vonn's downhill bid after ACL tear Is extraordinary but possible, US expert says
Interim Dean and Professor Doug Van Citters '99 Th'03 Th'06 is featured in an article about Lindsey Vonn's decision to still compete in the Olympics after rupturing her ACL. "It all depends on whether or not she has the structure in her knee—the rest of the musculature and ligaments—in good enough shape to stabilize the knee during her runs," Van Citters said.
Research Quick Takes
Mar 19, 2026
Early Detection of Hidden Internal Bleeding
Professors Ryan Halter, Jonathan Elliott, Vikrant Vaze, and Ethan Murphy—with Geisel Professor Norman Paradis—were issued a US patent for "System and method to detect the presence and progression of diseases characterized by systemic changes in the state of the vasculature." The invention uses a novel technique to obtain multiple tissue measurements which are then "transformed by a multivariate algorithm to outputs that convey the diagnostic and prognostic risk of the disease of interest," according to the patent. "We show that by effectively combining signals from multiple sensors using advanced machine learning algorithms, we can save lives through early detection of hidden internal bleeding," said Vaze.
Mar 12, 2026
New Design Strategy for Solid-State Batteries
PhD students Baiheng Li and Huilin Qing, Research Associate Peiyu Wang, and professors Ian Baker and Weiyang "Fiona" Li co-authored "Highly Stable Quasi-Solid-State Sodium Batteries via Facile Grain Boundary Engineering" published in ACS Applied Materials and Interfaces. "This work improves the performance of solid-state batteries by employing a novel and scalable fabrication method for the electrolyte, and paves the way for safer and cheaper next-generation energy storage solutions," said Baiheng.
Mar 12, 2026
Fair AI and Optimization in Healthcare
PhD student Zequn "Vincent" Chen and Professor Wesley Marrero co-authored "A survey on optimization and machine learning-based fair decision making in healthcare" published in Health Care Management Science. The review examines how fair AI and mathematical optimization can improve areas like patient scheduling, disease diagnosis, and treatment recommendations. It identifies potential sources of bias in existing literature, classifies different bias mitigation strategies, and evaluates fairness metrics that help verify whether outcomes are equivalent for privileged and unprivileged groups. "By analyzing the trade-offs of each method, this research facilitates more informed and transparent decision-making in health care," said Marrero.