Sungmin Lee

Experience

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  Purdue University

  May 2013 - May 2014

  Advisors: Drs. Uma Aryal, Mark Hall, and Daniel B. SzymanskiProject: Development of a method for proteome-wide analysis of plant protein complexes.- Assisted in the development of a novel protocol for plant proteomics using Arabidopsis thalianausing protein chromatography techniques, FPLC, and HPLC, and peptide mass analytics techniques, MS. Advisors: Drs. Uma Aryal, Mark Hall, and Daniel B. SzymanskiProject: Proteome-wide Analysis of Stable Plant Protein Complexes in the Cytosol by Correlation Profiling.- Optimized conditions for FPLC and HPLC in isolating stable protein complexes from Arabidopsis thaliana cytosol.

  • Undergraduate research assistant in Cytosol proteomics project

    Aug 2012 - May 2014

  • Summer stuent in Howard Huges Medical Institute Summer program

    May 2013 - Aug 2013
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  Systems, Synthetic, and Physical Biology program

  Aug 2014 - Aug 2020

  Graduate research assistant

  Advisors: Drs. Jianpeng Ma and Qinghua Wang• Conducted comparative evolutionary analyses on the human and avian influenza viruses with nucleotide sequences collected from NCBI and GISAID databases.• Examined patterns of viral circulation and evolutionary dynamics for emerging and re-emerging infectious diseases with phylogenetic analyses, population genetics theory, and statistical analyses along with python.

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  Thermo

  Dec 2020 - Jun 2021

  Scientist III - Bioinformatics

  • Designed targeted genotype by sequencing (tGBS) panel products for plant trait selection and animal breeding.• Delivered timely data analysis and product development reports for external customers and internal stakeholders.• Modified existing pipelines for new products and ensured smooth production pipeline operations for the design of highly multiplexed oligos in targeted sequencing panel design.

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  Seegene Inc.

  Jul 2021 - Jul 2024

  • Designed and executed a bioinformatics data pipeline using Unix/Linux, Python, and external software in a hybrid environment (HPC, Azure) for processing genomic data from multiple external sources (e.g., NCBI, SRA).• Collaborated closely with multidisciplinary teams (R&D, manufacturing) to develop and optimize assays based on experimental data using machine learning techniques, contributing to developing robust diagnostic assays.• Conducted exploratory data analysis on all genomics datasets (genomics, metagenomics) to uncover patterns and insights relevant to identifying diagnostic markers within diverse microbial environments.• Developed a relational database with comprehensive data modeling on the Azure platform to streamline data collection and statistical analysis, supporting multiple in-house projects. Show less • Led a multidisciplinary team to create a web-based platform for bioinformatics pipelines using Docker, AWS Lambda, and AWS Batch.• Developed AWS Lambda-based API solutions with optimized query performance for end-users, streamlining product development for software engineers and assay developers.• Led the development and lifecycle management of a nucleotide sequence database project using MySQL and MongoDB, supporting internal product development and quality assurance.• Executed the migration from the in-house database server to AWS RDS using AWS Database Migration Service, ensuring high database availability. Show less

  • Staff Bioinformatics Data Engineer

    Feb 2023 - Jul 2024

  • Staff Bioinformatics Engineer

    Jul 2021 - Feb 2023
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  Profluent

  Jul 2024 - Oct 2024

  Bioinformatics Consultant

  • Developed and optimized bioinformatics pipelines for processing and analyzing large-scale genomic datasets.

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  Cepheid

  Nov 2024 - now

  Senior Bioinformatics Scientist