PhD Candidate
2019, Kyungpook National University Daegu, Chemistry, M.S.
2016 - Kyungpook National University Daegu, Geology and Chemistry, B.S.E

Thermodynamic Atomistic Modeling of Interface, Multiphase, Mineralogy, Crystallography, Electrochemistry, and Solid-State Materials

PhD Candidate
2022, Carnegie Mellon University, Materials Science and Engineering, Additional major in Applied Physics B.S.

Materials informatics, Machine learning, Natural language processing, Bayesian statistics

PhD Candidate
2023, University of Michigan, Materials Science and Engineering M.S.
2021, University of Pittsburgh, Materials Science and Engineering B.S.E

Prediction of Solid-State Reaction Onset Temperature, CALPAHD method, Machine Learning of Phase Diagram

PhD Candidate
2023, University of Michigan, Materials Science and Engineering B.S.E

Metastability in transition-metal oxides, nucleation kinetics, redox shifts at the nanoscale, high throughput DFT computation, surface energies

PhD Candidate
2023,University of Michigan, Materials Science and Engineering B.S.E

(Co-advised by Alan Taub)

Ab initio phase diagrams for alloy design exploration, high-throughput alloy characterization, data science & multicomponent / high entropy alloy thermodynamics. Studies liquid mixing for copious amounts of time whilst consuming tempered metastable chocolate.

PhD Candidate
2022, Bangladesh University of Engineering and Technology, Materials and Metallurgical Engineering, B.S.E

Generalized Computational Framework for High-Dimensional Phase Diagrams, Theoretical Synthesis and Discovery of Materials.

PhD Candidate
2023, National Tsing Hua University, Materials Science and Engineering, M.S.
2021, National Tsing Hua University, Materials Science and Engineering, B.S.E

(Co-advised by Emmanuelle Marquis)

Phase decomposition in high-entropy alloys, high-dimensional phase diagrams, solid-state phase transformation, physical metallurgy, thermodynamics and kinetics of materials, electron microscopy

PhD Candidate
2024, Indian Institute of Technology Madras, Computational Engineering, M.Tech.
2024, Indian Institute of Technology Madras, Metallurgical & Materials Engineering, B.Tech.

Materials Thermodynamics, Electronic Phase Diagrams, High-Throughput DFT Calculations

PhD Pre-Candidate
2024, University of Illinois Urbana-Champaign, Materials Science and Engineering, B.S.

(Co-advised by Pierre Ferdinand Poudeu)

Predictive synthesis, solid-state synthesis, experimental design and optimization, materials synthesis for clean energy

PhD Pre-Candidate
2025, Shanghai Jiao Tong University, Chemistry (Macromolecule), B.S.

(Co-advised by Sharon Glotzer)

Building phase diagrams from interatomic potentials, molecular simulations of self-assembly