Junwon Seo

Ph.D. Candidate @ Carnegie Mellon University | Materials Science, Machine Learning

Pittsburgh, Pennsylvania, United States

About

"It's all about making this world a better place"

Experience

  • Ph. D. Candidate at Carnegie Mellon University
    Aug 2020 - May 2025 · 4 yrs 10 mos

    Advisor: Prof. A. D. Rollett • Obtained Master of Science Degree in December 2021 • Being awarded Graduate Fellowship

  • Machine Learning Researcher at Korea Institute of Science and Technology
    Jun 2020 - Feb 2021 · 9 mos

    Project: “Predicting half-activation membrane potential (V1/2) using ML algorithms” • Extracted features from a protein sequence dataset to calculate pairwise similarities and determine feature importance, thereby constructing a deep learning-based predictor

  • Graduate Researcher at Max-Planck-Institut für Chemische Physik fester Stoffe
    Sep 2019 - Mar 2020 · 7 mos

    Director: Prof. Dr. Liu Hao Tjeng / Superviser: Dr. Alexander C. Komarek Project: “Discovering novel oxide materials with exotic electromagnetic properties” • Designed and synthesized single crystals with an optical floating zone (OFZ) furnace, then measured their structural properties at room temperature and physical properties at extreme temperatures (2 K - 700 K)

  • Student Researcher at Institute for basic science (IBS)
    Jul 2019 - Aug 2019 · 2 mos

    Adviser: Prof. Rodney S. Ruoff & Prof. Won Kyung Seong / Mentor: Mr. Dong Ho Jeon Project: “Novel synthesis methods for low dimensional carbon materials” • Utilized custom-built furnaces to develop novel methods for synthesizing graphene from other two-dimensional materials and characterized the outcomes using SEM, XPS, and Raman spectroscopy

  • Student Researcher at 서울대학교 (Seoul National University)
    Dec 2018 - Feb 2019 · 3 mos

    Advisers: Prof. Keon Wook Kang & Prof. Hyewon Youn / Mentor: Mr. Ho Rim Oh Project: “Synthesis of nanoparticles for biomedical applications and their in vitro characterization” • Analyzed correlation between liposome’s physical and biological properties with its lipid composition • Characterized size, surface charge and morphology of nanoparticles using DLS and TEM and performed in vitro characterizations of biological nanoparticles