PhD Candidate
2018, Seoul National University, Chemical and Biological Engineering, M.S.
2016, Seoul National University, Materials Science and Engineering, B.S.E

Crystallization, carbonate minerals, dolomite, thermodynamics, materials data science

PhD Candidate
2017, Idaho State University, Physics, B.S.E

(Co-advised by Emmanouil Kioupakis )

Conceptual Band Structure, Tight-Binding, Wannier Functions, generalizable chemical rules for solids and bonding, anomalies in electronic bandstructure, intuition driven materials discovery

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 Pre-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 Pre-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 Pre-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 Pre-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)

Oxidation behavior of high-entropy alloys, high-dimensional phase diagrams

PhD Pre-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 Missouri - Columbia , Math B.S, Physics B.S

Theoretical materials synthesis and discovery, high-dimensional phase geometry, materials informatics, machine learning, energy

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