
Fadhl Alakwaa
machine learning, personalized medicine, predictive modeling

Karen Alofs
Integrating data on environmental change and ecological communities

Camille Avestruz
Evolution of galaxy clusters, machine learning in cosmology

Laura Balzano
Statistical signal processing and optimization with large data.

Kira Barton
Intelligent control innovation through learning and cooperation

Erhan Bayraktar
Mathematical finance and stochatic analysis

Anthony Bloch
Control, gradient flows, Hamiltonian and Lagrangian Systems

Elizabeth Bondi-Kelly
AI for social impact

Neil Carter
complex adaptive systems, human-wildlife coexistence

Tim Cernak
Computational design of chemical reactions and synthesis

Yang Chen
Statistical inference and applied statistics in biology and astronomy

Mosharaf Chowdhury
Efficient AI/ML Systems

Karthik Duraisamy
Data-driven modeling of computational physics problems

August (Gus) Evrard
Computational cosmology

Salar Fattahi
Scalable computational methods for data-driven problems

Jeff Fessler
Large-scale inverse problems in image reconstruction

Danny Forger
Computer simulation and mathematical modeling of biological clocks

Vikram Gavini
Ab-initio calculations, DFT, electronic structure, exchange-correlation approximation, numerical methods

Alex Gorodetsky
Bayesian Inference, Decision making under uncertainty, Tensor Networks, Uncertianty Quantification

Yuanfang Guan
High-accuracy algorithms for predicting gene functions and networks

Emanuel Gull
Computational condensed matter physics

Yongqun (Oliver) He
literature mining and gene networks, Ontology

Wei Hu
Deep Learning, machine learning, optimization, Representation Learning, theory

Xun Huan
and numerical optimization, data-driven modeling, Uncertainty quantification

Edward Ionides
epidemiology, health economics and biology, Time series analysis for ecology

H. V. Jagadish
Database systems, query models and analytics processes for reliable insight

Elizaveta Levina
Statistical inference on realistic models for network

Max Li
and Optimization of Air Transportation Systems, Design, Management

Wei Lu
integrating human knowledge into machine learning

Emily Mower Provost
Emotion modeling and assistive technology

Raj Rao Nadakuditi
Statistical signal processing and random matrix theory

Long Nguyen
Statistical inference in richly structured data

Mohammed Ombadi
Climate and Weather Extremes, climate change, data science, Hydrology

Gabor Orosz
Automated, Connected, Control, Delay, Dynamics, Learning, Traffic, Vehicle

Samet Oymak
decision-making, efficient and robust ML, learning and optimization theory

Necmiye Ozay
Heterogeneous data from sensor and information-rich networked dynamical systems

Atul Prakash
and adversarial machine learning., Design of operating systems and database mechanisms for sensitive data, privacy, Security

Qing Qu
Deep Learning, Inverse Problems, Nonconvex Optimization, Representation Learning

Majdi Radaideh
Autonomous Control, Nuclear Reactor Design, optimization, Physics-informed Machine Learning, Uncertainty quantification

Venkat Raman
Simulation of large scale combustion systems

Jeffrey Regier
Bayesian models and deep learning for scientific applications

Daniel Romero
Empirical and theoretical analysis of social and information networks

Sarita Schoenebeck
Human-Computer Interaction, issues in digital society, social computing, social media

Clayton Scott
complex data, Quantitative predictions and inferences about large

Katie Skinner
field robotics, Robot vision and perception

Vijay Subramanian
decision and control theory and applications to networks, Stochastic modeling

Jonathan Terhorst
computational population genetics

Ambuj Tewari
Statistical methods for sequential decision making in personalized health

Dawn Tilbury
human-robot teaming, Modeling and control for smart manufacturing

Sabina Tomkins
Computational social science, education, Political science, sustainability

Shravan Veerapaneni
Fast and scalable algorithms for differential and integral equations on complex moving geometries

Venkat Viswanathan
differentiable physics, Scientific machine learning

Yixin Wang
causal inference, Large-scale probabilistic machine learning, machine learning for science

Xinyu Wang
Programming Languages, Formal Methods, Artificial Intelligence, Software Engineering

Jenna Wiens
Machine learning and data mining for healthcare data

Zhenke Wu
Statistical methods for precision medicine

Bing Ye
Artificial Intelligence, behavior, cell biology, computational science, developmental biology, Drosophila, neuroscience

Lei Ying
and large-scale graph mining, Complex stochastic systems and big-data, private data marketplaces

Y Z
Nuclear engineering, robotics, materials science and engineering

Xiang Zhou
Statistical and computational methods for genetic and genomic studies

Ji Zhu
analysis of high-dimensional data, and their applications in health sciences, biology, finance and marketing., machine learning, statistical network analysis

Kai Zhu
Environmental data science