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CMS Spotlight

Simran Arora
  • Arriving Summer 2026

Simran Arora

Her research in AI systems focuses on expanding the Pareto frontier between quality and efficiency, to unlock new AI capabilities.

Kewen Wu
  • Arriving Summer 2026

Kewen Wu

His research interests lie in the general area of theoretical computer science, including quantum computing, complexity theory, Boolean function analysis, and discrete math.

Lin Lin
  • Arriving Summer 2026

Lin Lin

Lin's research focuses on solving quantum many-body problems via both classical and quantum algorithms.

Yang Song
  • Incoming

Yang Song

Yang's research is aimed at unlocking the potential of machine learning, particularly in terms of probabilistic modeling and inference for high-dimensional data distributions. His work encompasses a wide array of areas, including generative modeling, deep neural networks, optimization, and AI safety. By developing effective theory and scalable algorithms, Yang seeks to build AI systems to tackle complex problems – from synthesizing highly structured data to solving complicated inverse problems – across a range of engineering disciplines.

Georgia Gkioxari
  • Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering; William H. Hurt Scholar

Georgia Gkioxari

Georgia's research focuses on machine vision, namely teaching machines to see. Her work explores methods for learning from visual corpora to tackle challenging visual tasks with scalable, efficient and generalizable solutions. Georgia's research is centered around object recognition from images and videos as well as object tracking and 3D understanding.

Elizabeth Carlson
  • von Karman Instructor in Computing and Mathematical Sciences

Elizabeth Carlson

Elizabeth Carlson's research interests include partial differential equations and fluid dynamics, with practical emphases in data assimilation, optimization, high performance computing, and numerical analysis.