Poster at the Gordon Research Conference on Computational Materials Science and Engineering
Presented "Accelerating Calculations Based on Many-Body Perturbation Theory" at the 2026 GRC, Computational Methods and Artificial Intelligence Tools for Materials Discovery and Industrial Application (Aug 2-7).
Talk and poster at the Gordon Research Seminar on Computational Materials Science and Engineering
Presented "Learning Faithful Representations of the Dielectric Matrix for Excited-State Calculations with Generative Modeling" (with J. Zhan, V. Yu, M. Govoni, G. Galli, and M. Chan).
Named a 2026 BSSw Fellowship Honorable Mention
Recognized as one of six Honorable Mentions in the 2026 Better Scientific Software (BSSw) Fellowship program.
Professional Development Officer, Postdoctoral Society of Argonne
Serving as Professional Development Officer of the Postdoctoral Society of Argonne for 2026.
Talk at the Argonne Postdoctoral Research & Career Symposium
Presented "Towards Accelerating Excited State Calculations with Generative Modeling".
Visionary Award at the LLM Hackathon for Materials Science and Chemistry
Atomic Shorts, an agentic AI system that makes short videos explaining materials-science concepts, received a 2025 Visionary Award.
Attended the Argonne Training Program on Extreme-Scale Computing (ATPESC)
Two-week intensive training (July 27 - August 8) on programming and running science applications on leadership-class and exascale supercomputers.
Attended the Deep Learning for Science Summer School
Week-long Berkeley Lab school (June 23-27) on deep learning and generative AI for scientific research.
Talk at the Midwest Theoretical Chemistry Conference
Presented "Towards Accelerating Excited State Calculations with Generative Modeling" (with J. Zhan, V. Yu, G. Galli, and M. Chan).
Joined Argonne National Laboratory as Postdoctoral Researcher
Started a postdoctoral appointment in the NST division to develop AI/ML-assisted GW/BSE workflows for heterogeneous materials.
Defended Ph.D. in Chemistry at Wayne State University
Successfully defended my dissertation on many-body approaches for quantum dots and covalent interfaces.
Led Chemistry Meets Computers Summer Bootcamp
Taught a week-long intensive introducing Python and ML to high school students, mentoring on computational chemistry and machine learning.