-
developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
-
of machine learning and science. Areas of particular interest include: foundation model training, evaluation, scaling, and adaptation agentic workflows, tool-augmented models, and AI systems bespoke scientific
-
of particular interest include: foundation model training, evaluation, and adaptation time-series modeling transformers, autoencoders, and dynamical systems models modeling brain circuits and neural activity from
-
following areas: foundation model training, evaluation, and adaptation protein structure modeling and docking cell state prediction from large-scale perturbation datasets multimodal modeling for protein
-
. The position will be supervised by Professor Francesca Dominici and will focus on building and evaluating a decision framework to guide the expansion of AI data centers, aligning economic opportunity with social