Experience
Sep 2025 – present
Lemont, IL Argonne National Laboratory Assistant Computational Scientist
- Develop imaging registration algorithms for visible light microscopy, XRF, and tomography.
- Research on AI and foundation models for X-ray science applications.
- Collaborate with beamline scientists to develop autonomous experimentation and data analysis tools.
Oct 2023 – Sep 2025
Lemont, IL Argonne National Laboratory Postdoctoral Appointee
- Developed advanced computational imaging algorithms for XRF, ptychography, and tomography.
- Supported research on automated parameter tuning and data analysis using AI techniques.
- Collaborated with beamline scientists on data processing and analysis for APS user experiments.
May 2022 – Aug 2022
Los Altos, CA Toyota Research Institute Research Intern
- Developed a reinforcement learning framework for dopant design in catalyst materials.
- Analyzed experimental data, developed predictive models, and performed explainability studies.
Jul 2017 – Sep 2017
Vancouver, BC University of British Columbia MITACS Globalink Research Intern
- Developed a biomass combustion PDE model and carried out simulation.
Education
2018 – 2023
Pittsburgh, PA Carnegie Mellon University Ph.D. in Chemical Engineering
- Developed optimization models for pressure swing adsorption processes in carbon capture systems.
- Developed a machine learning pipeline for learning surrogate models of materials adsorption properties.
- Proposed a mathematical-optimization-based crystalline nanomaterials design framework.
2014 – 2018
Tianjin, China Tianjin University B.S. in Chemical Engineering