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Lauren Kucirka

Assistant Professor


Matthew G. Springer

Adjunct Professor


Thomas Hofweber

Professor

Research Areas:

metaphysics, the philosophy of language, the foundations of artificial intelligence


Shahar Kovalsky

Assistant Professor

Research Areas:

optimization, geometry, computer graphics and vision, machine learning and its applications in biology and medicine


Iain Carmichael

Assistant Professor

Research Areas:

Computational pathology, deep learning for medical imaging, multimodal data analysis, natural language processing for clinical notes, high resolution tissue imaging data (e.g. digital pathology, spatial transcriptomics, multiplex immunoflorecence), precision medicine/translational AI algorithm development for cancer and transplant diseases, open-source software


Dan Kessler

Assistant Professor

Research Areas:

statistical analysis of networks, post-selective inference, high-dimensional statistics, applications involving human neuroimaging, computational and cognitive neuroscience, high performance computing


Justin Sola

Assistant Professor

Research Areas:

gun ownership, trends in social research, the interaction of inequality with the criminal justice system


Chudi Zhong

Assistant Professor

Research Areas:

machine learning, optimization, human-model interaction


Weitong Zhang

Assistant Professor

Research Areas:

reinforcement learning, machine learning


Snehalkumar ‘Neil’ Gaikwad

Assistant Professor

Research Areas:

human-AI alignment; AI and decision making; AI and policy; the ethics and fairness of AI; human-computer interaction; computing and sustainability


Lina Montoya

Assistant Professor

Research Areas:

causal inference, precision health/policy, (optimal) dynamic treatment regimes, sequential multiple assignment randomized trials, semiparametric efficient estimation, adaptive designs


Rei Sanchez-Arias

Teaching Assistant Professor and MADS Faculty Director

Research Areas:

Data mining, machine learning algorithm development, numerical optimization, data science education


Youzuo Lin

Associate Professor

Research Areas:

physics-informed machine learning, deep learning, computational methods, and their applications in computational imaging, signal and image analysis


Jack Snoeyink

Professor

Research Areas:

Computational geometry; algorithms for geographical information systems and structural biology; geometric modeling and computation; algorithms and data structures; theory of computation


David Yokum

Professor of the Practice


Steve Marron

Professor

Research Areas:

statistics, data science and machine learning, with a particular emphasis on gaining simultaneous insights from diverse data types, including genomics, genetics, imaging and demographics


Can Chen

Assistant Professor

Research Areas:

control theory, network science, tensor algebra, numerical analysis, data science, machine learning, deep learning, hypergraph learning, data analysis, computational biology


Keriayn Smith

Associate Professor

Research Areas:

RNA biology, noncoding RNAs, gene editing, bioinformatics, data analytics, stem cell biology, epigenetics


Anita Crescenzi

Assistant Professor

Research Areas:

impact of time constraints and time pressure on the process and outcomes of exploratory information-seeking; information search in support of decision-making; metacognitive regulation in information search; designing and evaluating search systems provide better support for learning, problem-solving and decision-making in exploratory or collaborative information-seeking; FAIR data practices and data search


Santiago Olivella

Associate Professor

Research Areas:

statistical models, particularly Bayesian graphical models; machine learning


Courtney Rivard

Assistant Professor

Research Areas:

rhetoric, composition, digital humanities


Yifei Lou

Associate Professor

Research Areas:

Image processing, sparse signal recovery, numerical analysis, optimization algorithms


Alex McAvoy

Assistant Professor

Research Areas:

evolutionary dynamics, game theory, multi-agent learning, networks


Harlin Lee

Assistant Professor

Research Areas:

Networks, manifolds, optimal transport, nonconvex optimization, statistical signal processing, machine learning, health care


Richard Marks

Professor of the Practice

Research Areas:

AR/VR, machine learning, context-aware systems


David Adalsteinsson

Professor; Director of Undergraduate Studies; MADS Lead Faculty and Section Instructor

Research Areas:

biology, interface problems, spatial modeling, algorithm development, creating tools for scientific computing and visualization


Amarjit Budhiraja

Senior Associate Dean for Academic and Faculty Affairs

Research Areas:

large deviations, stochastic control, stochastic differential games, stochastic networks, stochastic partial differential equations, random graphs, stochastic numerics, nonlinear filtering


Stan Ahalt

Dean

Research Areas:

Signal, image, and video processing, high-performance scientific and industrial computing, pattern recognition applied to national security problems, high-productivity, domain-specific languages


Terry Magnuson

Chief Research and Strategy Officer

Research Areas:

mammalian genetics, genomics, chromatin remodelers, epigenetics, development, mouse models of human disease


Jay Aikat

Vice Dean

Research Areas:

Experimental methods and models in networking research and education, measurement and modeling of Internet traffic, protocol benchmarking, Internet traffic generation, wireless networks, congestion control and active queue management, data science