Bridging the gap between Stellar Astrophysics and Data-Driven Computation.
My work sits at the intersection of stellar astrophysics and data-driven computation. I study stellar populations and open clusters, focusing on dynamical evolution and star-formation histories using large surveys like Gaia DR3. I develop and apply machine learning and probabilistic techniques for scalable astro-data analysis.
B.Sc. in Physics
Minor: Computer Science
Amirkabir University of Technology
2019 — 2024
GPA: 3.82 / 4.00
Minor GPA: 4.00 / 4.00
Thesis: Study of Open Star Clusters using Gaia Satellite Data
Aug 2024 — Present
Research Assistant | Supervisor: Dr. M. Khakian Ghomi
Analyzing kinematics, spatial substructure, and chemical-abundance trends to test for signatures of a supernova event.
Sep 2022 — May 2024
Research Assistant | Supervisor: Dr. M. Khakian Ghomi
Designed and evaluated an MST-GMM classifier for Gaia sources to produce probabilistic cluster memberships.
Jan 2024 — Present
Department of Mathematics & CS, AUT
Assist in exercise sessions; support students in numerical methods and matrix computations.
2023 — Present
Ikaf LLC (Part-time)
Draft and edit patent applications in physics and engineering fields.
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