Gary Luker

Gary Luker

The Luker Lab’s research develops and applies quantitative imaging methods to investigate cancer biology and response to therapy. Studies include 4D imaging studies in cell-based assays, mouse models of cancer, and prospective clinical trials. For single cell...
Jean-Baptiste Jeannin

Jean-Baptiste Jeannin

Prof. Jeannin’s research focuses on formal verification in several different areas (cyber-physical systems, scientific computing, distributed systems, computer hardware), with a particular focus on aerospace software systems. On the theoretical side, he develops...
Gokul Ravi

Gokul Ravi

Prof. Ravi’s research revolves around bringing together expertise from quantum computing, classical computing, and often from the sciences, to build toward a hybrid computing ecosystem for practical quantum advantage. Research thrusts include: Classical...
Brian Kiedrowski

Brian Kiedrowski

Prof. Kiedrowski’s research focuses on the development of advanced algorithms and software for the solution of the linearized Boltzmann equation applied to particle transport for a broad range of nuclear applications. Specific activities include the effective...
Majdi Radaideh

Majdi Radaideh

Dr. Majdi Radaideh leads the AIMS lab (Artificial Intelligence and Multiphysics Simulations), which focuses on the intersection between reactor design, nuclear multiphysics modeling and simulation, advanced computational methods, and machine learning algorithms to...
Liyue Shen

Liyue Shen

Prof Shen’s research interest is in Biomedical AI, which lies in the interdisciplinary areas of machine learning, computer vision, signal and image processing, medical image analysis, biomedical imaging, and data science. She is particularly interested in...
Venkat Viswanathan

Venkat Viswanathan

Prof. Venkat’s research is focusing on multi-scale differentiable computational simulations of electrochemical systems, machine learning guided optimization of energy materials, scientific foundation models and differentiable physical simulations.
Raj Nadakuditi

Raj Nadakuditi

Prof. Nadakuditi particularly enjoys using random matrix theory to address problems that arise in statistical signal processing. An important component of his work is applying it in real-world settings to tease out low-level signals from sensor, oceanographic,...
Xinyu Wang

Xinyu Wang

My research interests are in the areas of programming languages, formal methods, and software engineering. In particular, I’m interested in developing intelligent programming systems that allow programmers and non-programmers to create reliable software easily in a...
Walter Mebane

Walter Mebane

My primary project, election forensics, concerns using statistical analysis to try to determine whether election results are accurate. Election forensics methods use data about voters and votes that are as highly disaggregated as possible. Typically this means polling...