Dr. Bui’s research focuses on the operation and control of power and energy systems. We develop energy management systems aimed at optimizing the entire system’s operation to minimize operation costs, enhance system reliability, and improve system resiliency in both normal and emergency operation modes. Recently, the high penetration of distributed energy resources (DERs), including photovoltaics, … Read more
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 … Read more
I lead the Future of Programming Lab (FP Lab), where we design modern user interfaces for modern programming languages. Much of how we program today is rooted in tools designed 40+ years ago, e.g. how we enter code (using simple text editing, which leads to profligate parse errors), how we validate code (using tests or … Read more
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 … Read more
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, … Read more
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.
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 … Read more
Dani Jones’ research program drives CIGLR’s portfolio of research in data science, machine learning, and artificial intelligence, as applied to physical limnology, weather forecasting, water cycle predictions, ecology, and observing system design. This research program aims is to advance societal adaptations to the effects of climate change, including flooding of coasts, rivers, and cities. Dani’s … Read more
My core research expertise involves developing and employing a wide array of computational methods to discover, design, and characterize materials and systems that address critical challenges in energy and the environment. These methods span from stochastic techniques to molecular dynamics, density functional theory, quantum chemistry, and data science. Beyond contributing fundamental design principles for high-performing … Read more