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Career

· PhD in Bioengineering, Stanford University2022–
· Master of Science in Computational Science and Engineering, Massachusetts Institute of Technology (MIT)
· Bachelor of Science in Biochemistry, McGill University

Publications (10)

Representations of Materials for Machine Learning
Annual review of materials research (Print) · 2023
92
cited
Towards atom-level understanding of metal oxide catalysts for the oxygen evolution reaction with machine learning
npj Computational Materials · 2024
22
cited
Navigating multimetallic catalyst space with Bayesian optimization
Joule · 2021
16
cited
Crystal graph convolutional neural networks for per-site property prediction
2021
3
cited
Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time
arXiv.org · 2025
3
cited
Atom-by-atom design of metal oxide catalysts for the oxygen evolution reaction with machine learning
2023
2
cited
Learning Ordering in Crystalline Materials with Symmetry-Aware Graph Neural Networks
arXiv.org · 2024
2
cited
(Invited) Machine Learning Driven Discovery and Optimization of Perovskite Alkaline Electrolyte Oxygen Evolution Reaction Electrocatalysts
ECS Meeting Abstracts · 2022
Machine Learning and High Throughput Synthesis Acceleration of the Discovery of Alkaline Electrolyte Oxygen Evolution Reaction Electrocatalysts
ECS Meeting Abstracts · 2022
Machine Learning Driven Discovery and Optimization of Multi-Component Oxygen Evolution Reaction Catalysts
ECS Meeting Abstracts · 2021
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Jessica Karaguesian | Researcher Profile | Sotabase | Sotabase