I am in the double-major course in Chemistry and Computer Science & Engineering at Seoul National University. I am concurrently working as a machine learning researcher at AIGENDRUG Co. Ltd.
My academic goal is to understand new biochemical functions of enzymatic reactions and mine the general knowledge from fragmented experimental results having continuous labels via machine learning.
My interest is not only limited to analyzing certain enzymes’ reactions via biochemical or organic chemistry experiments but also generalizing several enzymatic reactions through machine learning algorithms.
I am currently investigating contrastive objective functions for multimodal supervised regression tasks, which includes prediction of small-molecular properties and enzymatic reactions via graph algorithms.
I am preparing for the Ph.D. program and will be supported by Korea Foundation for Advanced Studies (KFAS).
Please refer to my CV for further information.
|Aug 4, 2022||Review paper on deep learning techniques for chemical compounds is published in CSBJ! Check the full manuscript at here.|
|May 26, 2022||Trimodal contrastive learning paper is published in ArXiv. Check the full manuscript at here.|
|Jun 15, 2021||Discharged from my military duty at Republic of Korea Air Force (ROKAF).|
|Jan 22, 2020||RiPP paper is published in JACS! Check the full manuscript at here.|
- Genome mining reveals high topological diversity of ω-ester-containing peptides and divergent evolution of ATP-grasp macrocyclasesJournal of the American Chemical Society 2020
- Triangular Contrastive Learning on Molecular GraphsarXiv preprint arXiv:2205.13279 2022