Kevin B. Johnson, Jina Ko, and Sheila Shanmugan awarded NIH Common Fund’s High-Risk, High-Reward Research program.
Jina Ko (left) and Kevin Johnson (middle), from both the School of Engineering and the Perelman School of Medicine, along with Sheila Shanmugan (right) from the latter, have received the National Institute of Health Director’s Award to support their “highly innovative and broadly impactful” research projects through the High-Risk, High-Reward program.
no cred
The National Institutes of Health (NIH) has awarded grants to three researchers from the University of Pennsylvania through the NIH Common aFund’s High-Risk, High-Reward Research program. The research of Kevin B. Johnson, Jina Ko, and Sheila Shanmugan will be supported through the program, which funds “highly innovative and broadly impactful” biomedical or behavioral research by exceptionally creative scientists.
The High-Risk, High-Reward Research program catalyzes scientific discovery by supporting highly innovative research proposals that, due to their inherent risk, may struggle in the traditional peer-review process despite their transformative potential. Program applicants are encouraged to think “outside the box” and pursue trail-blazing ideas in any area of research relevant to the NIH’s mission to advance knowledge and enhance health.
Jonson, Ko, and Shanmugan are among 85 recipients for 2023.
Johnson, the David L. Cohen University Professor of Pediatrics, is a Penn Integrates Knowledge University Professor who holds appointments in the Department of Computer and Information Science in the School of Engineering and Applied Science and the Department of Biostatistics, Epidemiology, and Informatics in the Perelman School of Medicine. He is widely known for his work with e-prescribing and computer-based documentation and, more recently, work communicating science to lay audiences, which includes a documentary about health-information exchange. Johnson has authored more than 150 publications and was elected to the American College of Medical Informatics, Academic Pediatric Society, National Academy of Medicine, International Association of Health Science Informatics, and American Institute for Medical and Biological Engineering.
Ko is an assistant professor in the Department of Pathology and Laboratory Medicine in the Perelman School of Medicine and Department of Bioengineering in the School of Engineering and Applied Science. She focuses on developing single molecule detection from single extracellular vesicles and multiplexed molecular profiling to better diagnose diseases and monitor treatment efficacy. Ko earned her Ph.D. in bioengineering at Penn in 2018, during which time she developed machine learning-based microchip diagnostics that can detect blood-based biomarkers to diagnose pancreatic cancer and traumatic brain injury. For her postdoctoral training, she worked at the Massachusetts General Hospital and the Wyss Institute at Harvard University as a Schmidt Science Fellow and a NIH K99/R00 award recipient. Ko developed new methods to profile single cells and single extracellular vesicles with high throughput and multiplexing.
Shanmugan is a reproductive psychiatrist at the Penn Center for Women’s Behavioral Wellness, with both her medical training and a Ph.D. in neuroscience completed at Penn. Her undergraduate and doctoral research focused on evaluating the neuromodulatory effects of various substances on brain activation and neurochemistry. Shanmugan's postdoctoral work delved into examining the mechanisms underlying sex differences in psychopathology using innovative analysis techniques. Currently, Shanmugan’s lab employs multi-modal neuroimaging and advanced computational methods to explore the contributions of sex as a biological variable to psychopathology development and to discern neuroendocrinologic markers that differentiate risk and resilience for psychiatric disorders.
The Polyhedral Structures Laboratory is housed at the Pennovation Center and brings together designers, engineers, and computer scientists to reimagine the built world. Using graphic statics, a method where forces are mapped as lines, they design forms that balance compression and tension. These result in structures that use far fewer materials while remaining strong and efficient.
From ancient tombs and tiny robots to personalized gene editing and AI weather models, Penn’s 2025 research portfolio showed how curiosity—paired with collaboration—moves knowledge into impact and stretches across disciplines and continents.
Centering joy in AI development and implementation
PIK Professor Desmond Upton Patton—of Annenberg and SP2—and collaborators introduce a joy-informed framework designed to initiate conversations among engineers, designers, and researchers.
Reflecting on Jane Austen, 250 years after her birth
English professors Michael Gamer and Barri Joyce Gold have been teaching courses specifically dedicated to Jane Austen for years. They spoke with Penn Today about their approach to teaching her novels, how they challenge common readings and myths, and what makes Austen’s work so enduring—and adaptable to the screen—more than two centuries later.
Electronic medical records help save lives of HIV patients
Wharton’s Leandro “Leo” Pongeluppe and colleagues found that HIV clinics in Malawi that switched from paper to electronic medical records saw an estimated 28% reduction in deaths in five years.
