Sustainability Research Directory

Jason Lee, MSPH, specializes in developing and implementing novel statistical analysis approaches and experimental test designs to examine relationships within data across health care, science, and engineering. His primary interests lie in healthcare data analytics, including modeling quality of care dynamics, disease outbreak dynamics, and other health-related outcomes, as well as biometrics and biomedical engineering research.

Michael Levien, PhD, is currently researching the politics of energy transition in fossil fuel producing regions in the US. His previous research focused on land dispossession and development in India.

Ben Link, MPH, MSW, is the Managing Director of the Ralph O’Connor Sustainable Energy Institute (ROSEI) and an Associate Research Scientist at the Johns Hopkins Whiting School of Engineering. ROSEI integrates efforts across the university to create and implement clean, renewable and sustainable energy technologies; educate future energy leaders; and support implementation, markets, and policies that promote an affordable and equitable green energy future for a more resilient world. Prior to working at ROSEI Ben worked in senior management roles in the field of global health equity initiatives including serving as the Executive Manager of the Johns Hopkins Alliance for a Healthier World and Director of Executive Affairs at the not-for-profit organization Partners In Health.

Leonardo Lisi teaches courses on the cultural history of climate change and the idea of nature. He is currently completing a book entitled Modern Tragedy and the End of Worlds: Lillo, Leopardi, Ibsen, which examines the emergence of a distinct form of apocalyptic drama and its continuing relevance in contemporary discussions of the Anthropocene.

Yayuan Liu, PhD, and her research group work at the interface of chemical engineering, materials science, and electrochemistry to accelerate the realization of energy and environmental sustainability. The group designs and synthesizes materials at the molecular and the microscopic level, develops novel electrochemical processes using functional materials, and uses advanced characterization tools to correlate microscopic phenomena with macroscopic performance.

Nicholas Loizou, PhD, is interested in large-scale optimization, machine learning, randomized algorithms, randomized numerical linear algebra, distributed and decentralized algorithms, and game theory. His current research focuses on the theory and applications of convex and non-convex optimization in large-scale machine learning and data science problems.