• Yunsoo
    Kim
  • Yunsoo
    Kim
  • Yunsoo
    Kim
  • Yunsoo
    Kim
  • Yunsoo
    Kim
  • Yunsoo
    Kim
  • Yunsoo
    Kim
  • Yunsoo
    Kim

Research Scientist

A BRIEF SUMMARY ABOUT ME

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Hello. Thanks for visiting my website.
I'm Yunsoo Kim, a PhD student at University College London
under the supervision of Dr. Honghan Wu.
Previously, I was a professional (senior research scientist) and NLP group leader at LG Chem,
and a co-founder of Torrey Pines Co., Ltd. (microbiome science cosmetics company).

I received my MSc in Bioinformatics and Theoretical Systems Biology from Imperial College London,
where I developed a method to analyze -omics time series using machine learning with Professor Tim Ebbels,
and I developed a method to infer networks from metagenomics abundance data with Dr. John Pinney and Dr. Virginia Fairclough.
I received my B.S. in Systems Biology with Honors (as well as concentration in Bioinformatics and Pre-Health Plan) from Case Western Reserve University,
where I made an assembly of Marama chloroplast from Next-gen sequencing reads with Professor Christopher Cullis.

My current work is focused on natural language processing (NLP) and its applications in health informatics.
My research interest is large language model in Electronic Health Records, specifically in neurodiseases such as dementia and multiple sclerosis models.

PLACES I LIVED IN

  • 2023 ~
  • 2017 ~ 2023
  • 2015~2016
  • 2012~2015
  • 2008~2012
  • 2007~2008
  • ~ 2006
  • London, UK
  • Seoul, South Korea
  • London, UK
  • Cleveland, OH, US
  • New City, NY, US
  • Hamilton, ON, Canada
  • Cheonan, South Korea

SKILLS

Python

Docker

HTML

Deep Learning

Linux

Mongo DB

Highlited Works

For each work, a brief description is provided as well as external links, if possible.

CLUE

LG Chem NLP Group Leader

2020 ~ 2023
Working on language (pre-trained) models in chemistry, materials science, and synthetic biology patents and literature.
Working on knowledge graphs construction using NLP and GNN.
Developing a system called CLUE (chemical langauge understanding expert), which is an artificial reading system empowered by the fine-tuned models such as chemical entity recognition models.
Received 1st place in 2021 LG AI DX IDEAthon business applications sector. Published in ACL2023 Industry Track.

Plant Disease

Plant Disease Deep Learning

Plant disease classification and plant disease severity diagnosis 2019
Severity diagnosis was also treated as a classification problem.
Made an ensemble model of ResNext and EfficientNet (transfer learning of ImageNet pre-trained models).
Used guided grad-cam to provide an explanation for the classification result.
Made a web service for the classification model inference.

Protein Toxicity

Protein Toxicity Prediction

Early Allergen and Toxin assessment system 2018
Developed a neural network to predict protein toxicity with protein amino acid sequence as input.
precision 2% higher and prediction speed 22 times faster than SVM (which was the SOTA).

Torrey Pines

Torrey Pines

Co-founder 2015 - present & CEO 2016 - 2017
Torrey Pines is a cosmetics company specialized in hair care products.
Introduced microbiome science to hair care cosmetics marketing.
Successfully exported to Vietnam and Cambodia in 2017.
Launched a new brand called "Bota nouveau" in Cambodia (2019) and Korea (2020).

Metabolomics

Metabolomics Time Series

Computational Bioinformatics Laboratory 2016
Biological processes are temporal events with dynamic and complex behaviors. Omics data such as RNA-seq and NMR data can be collected at multiple time points to understand changes of biological processes over time. There was no established analysis methodology in omics time series.
Machine learning (clustering) based time series analysis.
Tested the method using 81 simulated scenarios.
Extended the method to include network inference.

Metagenomics

Metagenomics Network

Theoretical Systems Biology Laboratory 2016
Humans have diverse microorganisms, and the microorganisms interact with each other. To study the interactions leading to diseases, we made a novel method using proportionality to infer microbiome networks. The method can generate a differential network (PAPER 1) and a co-occurrence network (PAPER 2).
The best precision among 9 methods (such as spearman correlation) for network inference.
Made PLANET (ProportionaLity Analysis NEtworks Tool) web server for a wider community
More details in this group report for PLANET.

Marama

Marama Chloroplast Genome

Undergraduate Research 2014 - 2015
Marama bean is a undomesticated legume in arid regions of Southern Africa. Used both Illumina short reads and Pacbio long reads to assemble the chloroplast genome.
Found a unique inversion not present in any other legumes.

Remarkable
Memories

mem-1

Received DX Frontier 1st place in applications sector
Given by LG Science Park
Was part of LG AI IDEAthon
Handed out the award in Metaverse.

DX Frontier 1st Place

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Received the Best Award in LG for AI research
Given by LG Group Chairman
Due to COVID19, LG Chem CEO
handed out the award.

LG AWARD

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Introduced microbiome science
to hair care cosmetics.
Actively used microbiome science for marketing.

First brand

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Mentoring of 4 researchers at LG in 2020
One mentee received best award from the mentoring.
He continued working on it and received LG best practice in 2021.

Mentor Experiene

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One of the three panelists at LG Academy for DX talks
It was for employees from all LG companies.
Talked about how employees should apply AI and DX in their work.

DX Talks Panelist

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1st place at AI Hackathon
It was a part of AI course organized by Seoul National University (SNU) for LG Chem reseachers.

SNU AI Hackathon

Feel Free to
Contact Me!