Jangwon Bae

About

I am a postdoctoral researcher at the KAIST AI-CRED Institute. I combine protein engineering and computational modeling to understand how biomolecular condensates form, how their microenvironments influence biochemical reactions, and how protein phase behavior depends on experimental conditions.

My research brings together biochemistry, biophysics, and machine learning to understand and control biomolecular systems. My broader interests include biosynthesis and the development of AI approaches that connect fundamental science with future diagnostic and therapeutic applications.

Research Interests

Biomolecular condensates — Phase separation, physicochemical microenvironments, and reaction kinetics.

Protein engineering — Self-assembly and optical control of biomolecular organization.

Machine learning — Prediction and modulation of condition-dependent protein phase behavior.

Experience & Education

• Postdoctoral Researcher, InnoCORE AI-CRED Institute & Natural Science Research Institute (KAIST)
  Mar. 2026 - Present

• Ph.D. (M.S.–Ph.D. Integrated) in Chemistry, KAIST (advised by Prof. Yongwon Jung)
  Mar. 2020 - Feb. 2026 

• Affiliated Researcher in Chemistry, KAIST
  Sep. 2019 - Feb. 2020

• B.S. in Chemistry, KAIST (advised by Prof. Hyunwoo Kim)
  Mar. 2015 - Aug. 2019

• Jul. - Aug.  2017: Exchange student in Tokyo Institute of Technology, Japan (Summer session, Campus Asia Program)

Publications

† Equal contribution · * Corresponding author

Awards and Honors

• Dean’s List, College of Natural Sciences (Top 2 in Department through third year; Mar. 2018)

• Summa Cum Laude at B.S. graduation (Aug. 2019)

• Undergraduate Leadership Mileage Program – Diamond Level (Top 4%; Mar. 2019)

• National Ph. D. Scholarship, Korea Ministry of Science and ICT (2020-2024)

• Hae Seok Jeong Hae-Young Scholarship and Cultural Foundation Award (2020-2022)

Skills

Experimental Techniques

• Expert in gene cloning, recombinant protein expression in E. coli and Streptomyces

• Expert in organic synthesis (including biosynthesis) and purification (TLC, column chromatography)

• Basic skills in mammalian cell culture, transfection, and protein expression

• Expert in size exclusion chromatography (SEC, FPLC), electrophoretic mobility shift assay (EMSA), dynamic light scattering (DLS), confocal laser microscopy, transmission electron microscopy (TEM), UV–Vis Spectrophotometer (including NanoDrop and microplate reader), surface plasmon resonance (SPR), Biolayer Interferometry (BLI)

• Basic operation of Raman confocal microscopy, mass spectrometer, HPLC, NMR, MALS

Programming

• Python, C, R; Machine learning modeling and analysis

Language

• Korean (Native), English (Professional), Japanese (Elementary)