Sara Beery will join MIT as an assistant professor in the Faculty of Artificial Intelligence and Decision-Making in EECS in September 2023. Beery received her PhD in computing and mathematical sciences at Caltech in 2022, where she was advised by Pietro Perona. Her research focuses on building computer vision methods that enable global-scale environmental and biodiversity monitoring across data modalities, tackling real-world challenges including strong spatiotemporal correlations, imperfect data quality, fine-grained categories, and long-tailed distributions. She partners with NGOs and government agencies to deploy her methods in the wild worldwide and works toward increasing the diversity and accessibility of academic research in artificial intelligence through interdisciplinary capacity building and education.

Ericmoore Jossou will join MIT as an assistant professor in a shared position between the Department of Nuclear Science and Engineering and the Faculty of Electrical Engineering in EECS in July 2023. He is currently an assistant scientist at the Brookhaven National Laboratory, a U.S. Department of Energy-affiliated lab which conducts research in nuclear and high energy physics, energy science and technology, environmental and bioscience, nanoscience, and national security. His research at MIT will focus on understanding the processing-structure-properties correlation of materials for nuclear energy applications through advanced experiments, multiscale simulations, and data science. Jossou obtained his PhD in mechanical engineering in 2019 from the University of Saskatchewan.

Christina Delimitrou will join MIT as an assistant professor in the Faculty of Computer Science in EECS in September 2022. Currently an assistant professor at Cornell University, Delimitrou’s main interests are in computer architecture and computer systems. She works on improving the design, management, and programming interfaces of modern cloud systems, by leveraging practical machine learning techniques to solve large-scale systems problems. Delimitrou earned her PhD in electrical engineering at Stanford University where she worked with Christos Kozyrakis.

Kuikui Liu will join MIT as an assistant professor in the Faculty of Computer Science in EECS in September 2022. Liu is currently a fourth-year PhD student in the Theory Group at the Paul G. Allen School for Computer Science and Engineering at the University of Washington, advised by Shayan Oveis Gharan. His research interests are in high-dimensional geometry and analysis of Markov chains. He develops and use mathematical tools from fields such as high-dimensional expanders, geometry of polynomials, and statistical physics.

Priya Donti will join MIT as an assistant professor in the Faculties of Electrical Engineering and Artificial Intelligence and Decision-Making in EECS in academic year 2023-2024. Donti recently finished her PhD in the Computer Science Department and the Department of Engineering & Public Policy at Carnegie Mellon University, co-advised by Zico Kolter and Inês Azevedo. Her work focuses on machine learning for forecasting, optimization, and control in high-renewables power grids. Specifically, her research explores methods to incorporate the physics and hard constraints associated with electric power systems into deep learning models. Donti is also co-founder and chair of Climate Change AI, a non-profit initiative to catalyze impactful work at the intersection of climate change and machine learning that is currently running through the Cornell Tech Runway Startup Postdoc Program.

Sherrie Wang will join MIT as an assistant professor in a shared position between the Department of Mechanical Engineering and the Institute for Data, Systems, and Society in academic year 2023-2024. Wang is currently a Ciriacy-Wantrup Postdoctoral Fellow at the University of California, Berkeley, hosted by Solomon Hsiang and the Global Policy Lab. She develops machine learning for Earth observation data. Her primary application areas are improving agricultural management and forecasting climate phenomena. She obtained her PhD in computational and mathematical engineering from Stanford University in 2021, where she was advised by David Lobell.

Gabriele Farina will join MIT as an assistant professor in the Faculty of Artificial Intelligence and Decision-Making in EECS in academic year 2023-2024. Farina is currently a sixth year PhD student in the Computer Science Department at Carnegie Mellon University, where he is advised by Tuomas Sandholm. His work lies at the intersection between artificial intelligence, computer science, operations research, and economics. His primary research interest focuses on the development and application of optimization methods for internet advertisement markets, as well as optimization related to convex-concave saddle point problems, with applications to equilibrium finding in games.