People Spotlights

Assistant Professor of Aerospace

Jane Bae

Professor Bae's research focuses on the physical understanding and modeling of structures associated with near-wall turbulence. Her main research goal is to develop high-fidelity models that reduce the computational cost to simulate high-Reynolds-number turbulent flows. These models will allow simulations to be utilized in the design cycle of wind farms and aircrafts and in predictions of atmospheric flows, reducing the overall time and effort associated with these processes.

Eric Mazumdar

Eric Mazumdar's research lies at the intersection of machine learning and economics. He is broadly interested in developing the tools and understanding necessary to confidently deploy machine learning algorithms into societal-scale systems.

Franca Hoffmann

Franca Hoffmann's research is focused on the interface between applied mathematics and data analysis, driven by the need to provide rigorous mathematical foundations for modeling tools used in applications.

Mohammad Mirhosseini

Mohammad Mirhosseini is an Assistant Professor of Electrical Engineering and Applied Physics, and previously was a KNI postdoctoral scholar at Caltech. In the past he has worked on entangling distant transmon qubits via microwave waveguides and developed integrated devices for microwave-to-optical quantum transduction. Mohammad did his PhD in the Institute of Optics at the University of Rochester. His thesis work was on high-capacity quantum communication with structured photons.

Urmila Mahadev

Mahadev's broad theme of research is in cryptographic possibilities of quantum information, a topic of considerable interest in the field. She has built new quantum cryptographic primitives by adapting and extending techniques from modern classical cryptography and has pioneered two widely acclaimed fundamental breakthroughs: 1) Quantum homomorphic encryption (i.e., computing on encrypted data) and 2) Verifiable delegation of quantum computation. Mahadev plans to focus her future research efforts on exploring problems in the intersection of theoretical computer science and quantum computing.

Ruby Fu

Ruby Fu studies subsurface fluid mechanics and how they shape our natural and engineered environments. Her work is applied to a wide range of geoscience problems in energy, resources and geohazards. Her current interests include clathrate and ice formation in porous media, hydrology, geologic carbon sequestration, and volcanic/geothermal systems.

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