Co-Directors
Research interests lie at the intersection of deep learning, geometry, and dynamical systems.
Research interests include machine learning, optimization and AI applications for bioengineering and drug discovery.
Executive Committee
Research focuses on lightweight surface systems and how they can be optimized to interact with extreme structural or environmental loading.
Research interests lie at the intersection of deep learning, geometry, and dynamical systems.
His research investigates the quantitative modeling of fluid and elastic processes in soft materials, in particular studying interfacial flows and pattern-forming instabilities.
Interests include deep learning, probability, and spectral asymptotics.
Research focuses on the design and analysis of algorithms for basic problems in machine learning and optimization.
Research interests include theoretical machine learning, reinforcement learning, optimization, and game theory.
Works on decarbonation for water and energy technologies, and is keen to use AI/machining learning and system engineering tools to understand the fundamental determinant factors of the systems so as to enhance design, operation, and monitoring in concert with traditional approaches.
Research includes Analog and digital integrated circuits with an emphasis on developing system platforms for emerging AI applications, as well as implantable and wearable biomedical systems and remote sensing and processing network nodes.
Research focus is to gain first principle understanding and design of blockchains and AI-driven communication algorithms for crypto applications.