The AI4Science Center at Georgia Tech is a cross-disciplinary research hub dedicated to advancing the use of artificial intelligence and machine learning in scientific discovery. This page highlights the Center’s core community, including the affiliated faculty, the steering committee guiding strategic priorities, and the external advisory board.
Steering Committee:
Advisory Board:
TBD
Affiliated members:
School of Physics
Tamara Bogdanovic – Black holes, multi-messenger astrophysics
Aishik Ghosh – Neuro-Symbolic AI, High-Dimensional Statistics, Fast Simulation, Experiment Design
Roman Grigoriev – Model discovery, nonlinear systems
Gongjie Li – Exoplanet formation and habitability, blackhole dynamical interactions
Feryal Ozel – Astrophysics, computational modeling, ML methods, large data
Dimitrios Psaltis – AI methods in astrophysics, HPC, black holes
Michael Schatz – Experimental Nonlinear Dynamics; Fluid Mechanics; Turbulence
Ignacio Taboada – Neutrino Astrophysics
John Wise – High-Performance Computing, Cosmology, Black Holes
School of Mathematics
Hannah Choi – Mathematical and computational neuroscience, Neuro AI, Neuromorphic computing
Luca Dieci – Applied & computational math, optimal transport
Guillermo Goldsztein – Applied & computational math
Sung Ha Kang – Applied & computational math, imaging sciences, data sciences
Rachel Kuske – Applied dynamical systems, data sciences
Wenjing Liao – Applied & computational math, data sciences, machine learning
Yingjie Liu – Numerical methods and machine learning for solving PDEs
Galyna Livshyts – High-dimensional probability and geometry
Martin Short – Applied & computational math, data sciences, social sciences
Molei Tao – Applied & computational math, mathematical foundations of ML
Wei Zhu – Applied & Computational Math, Machine Learning, Scientific Computing
Haomin Zhou – Applied & computational math, optimal transport, AI for PDEs
School of Psychology
Tansu Celikel – Reverse engineering brain’s computations, advancing neuromorphic computing
Anna Ivanova – Neuroscience of language and cognition; AI Psychology
Ratan Murty – Visual intelligence, perceptual development, neurodevelopmental disorders, fMRI
Dobromir Rahnev – Perceptual decision making, confidence, artificial neural networks
Audrey Sederberg – Theoretical neuroscience, artificial and biological neural network models
Sashank Varma – Computational models of mathmatical thinking, language understanding, reasoning
Robert Wilson – Computational cognitive neuroscience, reinforcement learning, decision making
School of Chemistry & Biochemistry
Facundo Fernandez – Mass spectrometry, Ion mobility, Metabolomics, Spatial omics, Matter-to-life
David Sherrill – Ab initio electronic structure theory and its applications
School of Biological Sciences
Sam Brown – Multi-scale dynamics of infectious disease
Yuhong Fan – Epigenetics, bioinformatics, cancer biology, regenerative medicine
Mark Hay – Community, marine, and chemical ecology
Joel Kostka – Microbial ecology, environmental/ host microbiomes, biogeochemistry
Boris Prilutsky – Neural control of movement
William Ratcliff – Synthetic biology, directed evolution, mathematical modeling
Jeffrey Skolnick – Systems biology, computational biology, bioinformatics
Francesca Storici – Genome stability, DNA repair, gene targeting
Matthew Torres – Protein phosphorylation, protein folding, machine learning, proteomics, bioinformatics
School of Earth & Atmospheric Sciences
Annalisa Bracco – Ocean mesoscale dynamics, climate variability
Ali Sarhadi – Climate, oceanography, and weather