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Ayana Ghosh

Research Scientist

Dr. Ghosh's research focuses on developing physics-based machine learning methods to investigate causal mechanisms in a wide range of materials ranging from inorganic perovskites, actinides, two-dimensional systems to organic counterparts. Bridging the gap between appropriately utilizing data generated by simulations and experiments require a great deal of understanding the nuances present in both fields, which is the ultimate goal of her efforts. 

She joined ORNL as a postdoctoral research associate in 2020 and transitioned into a scientist role in 2023 at the Computational Chemistry and Nanomaterials Sciences group within the Computational Sciences and Engineering Division in the Computing and Computational Sciences Directorate. Prior to joining ORNL, her research was primarily focused on learning about electronic properties of various functional materials using atomistic simulations combined with data-driven methods.

Director’s Award for Outstanding Individual Accomplishment in Science and Technology, 2024

Early Career Award for Research Accomplishment, UT-Battelle Awards, 2024

Early Discovery Award, American Ceramic Society - Basic Sciences Division, 2024

Special Performance Award (SPA), CSED, ORNL, 2023, 2022, 2021                                                                   

ORNL LDRD SEED (PI), “Causal machine learning for predictive materials design”, 2023-2024

Rising Stars in Computational and Data Sciences, Sandia National Laboratories, 2022

Best Student Poster Presentation Award, Electronic Materials and Applications, ACerS Meeting, 2020
Doctoral Dissertation Fellowship, Doctoral Student Travel Fellowship, University of Connecticut, 2020
Phi Kappa Phi Honors Society John Tanaka Graduate Student Award, University of Connecticut, 2019
Best Poster Award, Annual Graduate Poster Competition, MSE, University of Connecticut, 2019

Brian D. Proffer Student Excellence Award, University of Michigan-Flint, 2015
Student Involvement and Leadership (SIL) Emerging Award, University of Michigan-Flint, 2015

PhD, Materials Science and Engineering, University of Connecticut, 2020

BS, Physics and Abstract Mathematics, University of Michigan-Flint, 2015