Hansol Choi

Hansol Choi Email and Phone Number

Info-Bio @ Hutom
Hansol Choi's Location
South Korea, Korea, Republic of
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About Hansol Choi

A Bio big data scientist in genomics and neuroscienceProjectsGenomics1. Korea4k: Analysis of 4 thousands whole genome sequencing data with clinical information2. Ulsan Genome Regulation Free Zone project- Building up a HW and SW infrastructure to analyze and commercialize 10k Korean genomes: performed for Ulsan metropolitan city 3. Infectomics- Time-repeated Multi-omics (RNASeq, MethylSeq, WGS and ATACSeq) analysis for CoVID19 patients.4. Korean oral microbiome reference genome project- collecting over 2k Korean oral microbiome for reference.Neuroscience:1. MotorGAN : An implicit generative model framework to model the brain's predictive motor control2. A Bayesian causal inference model for the motor learning and adaptation3. closed Loop transcranial alternating current stimulation4. Augmented manipulation ability in humans with six-fingered hands5. Genetic control of Mice ultrasonic vocalization6. Thalamic control of the Parkinsonian symptoms of the model mice.Expert onGenomics:- Multi-omics Analysis- Pipeline building- Data standardizationComputational modeling: - Bayesian inference model - Generative Adversarial Network Experiments:- Digital signal acquisition and analysis - Analysis of sequential data- Statistical analysis and visualization- Human and Animal Behavioral/Electrophysiological Experiments SkillsProgramming skills, Expert (can build a system from scratch)- python (numpy, scipy, matplotlib/seaborn, pandas, python scripts)- Matlab- Tensorflow, generative adversarial network(GAN), Reinforcement Learning- Bayesian modeling- Digital signal recording and processing (EEG, EMG, motion capture)- Real-time electrical signal generation and stimulation - Statistics/ Bayesian statistics and tests- Data Analysis (PCA, informational analysis)Programming skills, experienced (can investigate, modify and troubleshoot)- Linux Administration (Program and servers setup)- DB programming (pySQL)- git, svn- Simulink- VIM- Robot OS environment- Hierarchical Temporal MemoryExperiments- mice and human behavioral experiments- mice and human electrophysiological experiments (EEG, EMG)- mice genetics - human motion capture experiments

Hansol Choi's Current Company Details
Hutom

Hutom

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Info-Bio
Website:
hutom.io
Employees:
13
Hansol Choi Work Experience Details
  • Hutom
    Chief Technology Officer
    Hutom Mar 2024 - Present
    Seoul, South Korea
  • Ulsan National Institute Of Science And Technology
    Research Professor
    Ulsan National Institute Of Science And Technology Jan 2021 - Mar 2024
    Ulsan, South Korea
    Responsible:Ulsan Genome Regulation Free zone - Industrialization of Ulsan 10k genome project - Setting up HW Infrastructure : Super computer with > 2000 core CPUs - Data infrastructure: > 10000 Korean whole genome data - SW infrastructure: database, pipelines and automation tools - Legal infrastructure: regulation uplifting in limited area and time (regulation free zone) - Pipelines for bio big data analysis Infectomics project: Covid19 - Collected >400 samples Covid19 patients and recovered. - Multiomics analysis (RNASeq, Methyl Seq, AtacSeq)- Temporal dynamics of genetic control related with Covid19 infection- On writing BioPipe- Building up standardized pipelines for WGS, RNASeq, MethylSeq and etc- Used as a backbone of regulation free zone and infectomics projectKorea 4K project- Analysis of over 4k Korean whole genome data with phenomenal dataStressomics project : Methylome study on MDD and suicide attempters.- Discovering methylation markers for the stress related diseases and Participating:Discovering genetic markers for AMI- Jeon, Y., Jeon, S., Choi, WH., Ahn K., Choi H. et al. Genome-wide analyses of early-onset acute myocardial infarction identify 29 novel loci by whole genome sequencing. Hum Genet (2022). https://doi.org/10.1007/s00439-022-02495-0Korean Archaegenome project- Pere Gelabert; Asta Blazyte; Yongjoon Chang; Daniel Fernandes; Sungwon Jeon; Jin Geun Hong; Jiyeon Yoon; Youngmin Ko; Victoria Oberreiter; Olivia Cheronet; Kadir T. Özdoğan; Susanna Sawyer; Songhyok Yang; Ellen McRae Greytak; Hansol Choi; Jungeun Kim; Kidong Bae; Jong-Il Kim; Choongwon Jeong; Jong Bhak; Ron Pinhasi(2022) Current Biology, Northern Asian and Jomon-related genetic structure in Three Kingdoms period Gimhae, Korea
  • Albert-Ludwigs-Universität Freiburg Im Breisgau
    Akademischer Rat (Academic Consult)
    Albert-Ludwigs-Universität Freiburg Im Breisgau Oct 2014 - Nov 2020
    Freiburg, Baden-Württemberg, Germany
    Akademischer Rat in theoretical and computational neurosciences over motor control. 1. ‘A generative adversarial process for the forward and inverse control: MotorGAN’- Predictive brain models are formalized using explicit generative models in general: Bayesian inference, Variational Bases etc. - I tried to formalize the model with implicit generative model (GAN) 2. "Bayesian Latent Cause Learning Model for the Motor Adaptation Learning"- Bayesian inference model to select between motor learning and motor adaptation - When do you learn a new model and when to update your internal model?3. Augmented manipulation ability in humans with six-fingered hands- How will the human brain controls the additional finger?- motion capture of the hand movement of five- and six- fingered hands. - The brain could use additional DOF by increasing the complexity of control. 4. closed Loop transcranial alternating current stimulation- adaptive tACS stimulation project based on EEG signals to modify the EEG oscillation. - Built a system to record the EEG signal, process that, produce stimulation signal and feedback the stimulation to the scalp.Main Skills: Python (numpy, scipy, pandas, matplotlib) , matlab, GAN, Tensorflow, Bayesian Inference, Digital signal recording, digital signal processing, statistic test, Bayesian statistics, Human EEG, Human tACS, Human motion capture
  • Kaist
    Post-Doctoral Researcher
    Kaist Sep 2011 - Aug 2014
    Yuseong-Gu, Daejeon, Korea
    Neurorobotics Research.- Hierarchical temporal memory model as the neocortical model of the brains - test the idea in the robots as the embodied intelligence. - motor control by HTM
  • Personal Genomics Institute
    Senior Researcher
    Personal Genomics Institute Nov 2010 - Jul 2011
    Suwon, Gyeonggi-Do, Korea
    Genomics Research - Development of the pipeline for transcriptome analysis - Research on archaeological Genomes

Hansol Choi Education Details

Frequently Asked Questions about Hansol Choi

What company does Hansol Choi work for?

Hansol Choi works for Hutom

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Hansol Choi's current role is Info-Bio.

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Hansol Choi's email address is ca****@****ail.com

What schools did Hansol Choi attend?

Hansol Choi attended Korea Advanced Institute Of Science And Technology, Korea Advanced Institute Of Science And Technology, Korea Advanced Institute Of Science And Technology.

Who are Hansol Choi's colleagues?

Hansol Choi's colleagues are Hyeongyu Chi, Hyunjin Park, Siwoo Hwang, Jiwoo Lee, Heejoo Yun, Hyonkeun Joh, Keunyoung Kim.

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