Caroline Uhler

Caroline Uhler is the Andrew (1956) and Erna Viterbi Professor of Engineering at MIT, holding joint appointments in the Department of Electrical Engineering and Computer Science (EECS) and the Institute for Data, Systems, and Society (IDSS). Her research focuses on the intersection of machine learning, statistics, and computational biology, with particular emphasis on causal inference, genomics, and healthcare technologies. She leads interdisciplinary projects in AI+D (Artificial Intelligence for Data Science) and collaborates across MIT’s School of Engineering.

Her work spans theoretical foundations of causal discovery, algorithm development for biological systems, and applications in precision medicine. Notable contributions include methods for analyzing single-cell data, protein structure prediction, and mechanistic modeling of cellular processes. Recent research highlights include predicting protein localization, modeling gene regulation via chromatin imaging, and identifying tumor microenvironment factors in Hodgkin lymphoma.

• Awards: Andrew and Erna Viterbi Professorship (20XX).
• Key Areas: Causal machine learning, systems biology, computational genomics.
• Labs/Teams: Integrates computational methods with experimental biology, leading MIT’s efforts in AI-driven healthcare research.

Uhler’s lab develops tools for analyzing high-dimensional biological data, with applications to drug discovery and disease mechanisms. Her work bridges theoretical computer science and experimental biology, emphasizing the role of causal models in understanding complex systems.