Paul G. Constantine
Paul received his PhD from Stanford's Institute for Computational and Mathematical Engineering and spent two years as the John von Neumann Fellow at the Sandia National Laboratories' Computer Science Research Institute. His research interests include uncertainty quantification and dimension reduction for computational science and engineering simulations. For more information, visit activesubspaces.org.
Sidney D'Mello
Sidney trekked out west from the Midwest. His research examines the complex interplay between thoughts and feelings while people perform complex real-world tasks. He uses these insights to develop advanced technologies that help people accomplish great things by coordinating what they think and feel along with what they know and do. He holds a joint appointment with the Institute of Cognitive Science.
Ellen Yi-Luen Do
Ellen invents at the intersections of people, design and technology. She has worked on computational tools for design, especially sketching, creativity and design cognition including creativity support tools and design studies, tangible and embedded interaction, and most recently computing for health and wellness. She holds a joint appointment with the ATLAS Institute.
Bradley Hayes
Bradley develops techniques to turn robots into capable teammates that learn from and collaborate with humans, making people more efficient, capable and safe during task execution. This work combines novel innovations in interpretable machine learning and artificial intelligence, providing robots with the ability to learn and generalize skills without programming.
Alexandra Kolla
Alexandra got her PhD at the University of California Berkeley. Her advisor was Umesh Vazirani. Her interests lie in theoretical computer science and, more specifically, spectral graph theory and convex optimization.
Ryan M. Layer
Ryan is interested in developing algorithms and data structures that facilitate the rapid exploration and integration of large-scale genetic data sets. He holds a joint appointment with the BioFrontiers Institute.
Daniel Larremore
Daniel develops statistical and inferential methods for analyzing large-scale network data, and uses them to solve applied problems in diverse domains. In particular, his work focuses on generative models for networks, the evolution of the malaria parasite and the origins of social inequalities in academic hiring. He holds a joint appointment with BioFrontiers.
Daniel Leithinger
Daniel invents computer interfaces that enable users to physically reach out and touch information. His research at the ATLAS Institute combines novel sensing, robotics and software techniques to develop future workplaces for data exploration, computer-aided design and remote collaboration. He holds a joint appointment with ATLAS.
Dan Massey
Dan’s research focuses on cyber security for traditional systems, emerging cyber physical systems and the Internet of Things. Prior to joining CU, he was a program manager in the Department of Homeland Security Science and Technology Cyber Security Division, where his programs ranged from distributed denial of service defense to cyber physical system security for vehicles, medical devices and building controls.
Rebecca Morrison
Rebecca researches sparse structure learning in non-Gaussian graphical models and representations of model inadequacy in reduced systems. These topics are motivated by the goal to make reliable predictions of physical systems using computational, physics-based and data-driven models. Before moving to CU Boulder, she will spend one more year as a postdoc at the Massachusetts Institute of Technology.
Orit Peleg
Orit’s research is aimed at understanding how organisms buffer themselves against large environmental fluctuations and accommodate adaptation. This includes protein assemblies that remain intact under varying stimuli, beetles that navigate using celestial cues, and honeybee clusters that change their morphology to both withstand stresses and regulate their temperature. She holds a joint appointment with BioFrontiers.
Abtin Rahimian
Abtin earned his PhD in computational science and engineering from the Georgia Institute of Technology, and held a postdoctoral appointment at the Courant Institute of Mathematical Sciences at New York University. His research interests include scientific computing, multi-scale computational modeling, fast parallel algorithms for physical simulations, and cellular biomechanics.
Chenhao Tan
Chenhao earned his PhD from Cornell University. His research interests include the social aspects of language and multi-community engagement. He is broadly interested in NLP, AI and computational social science.
Ashutosh Trivedi
Ashutosh’s research focuses on applying rigorous mathematical reasoning techniques to design and analyze safe and secure cyber-physical systems (CPS) with guaranteed performance. He investigates foundational issues as well as tools that can be used to analyze large systems at scale.
Tam Vu
Tam founded and directs the Mobile and Networked Systems lab, where he and his team have been working on building systems to improve pediatric health care practices. They design and implement novel, practical cyber-physical systems to make physiological sensing less intrusive at lower cost.