CV

Hanyang University

• Thesis: NovoRank: Machine Learning Based Post-processing for Performance Improvement in De Novo Peptide Sequencing
  • Research Group: Bioinformatics and Intelligent Systems Lab
  • Advisor: Prof. Eunok Paek
  • Coursework: Data Mining, Machine Learning Theory, Advanced Machine Learning Theory, Deep Learning, Computational Proteomics, Computer Vision, Special Topics on Autonomous Driving Technology, Optimization Theory, Creative Individual Research 1 & 2

Inha University

• Research Group: The Construction Systems Laboratory
• Completed Samsung Convergence S/W Course program – Samsung Electronics
  INHASCSC 2019-823

NovoRank: Refinement for De Novo Peptide Sequencing Based on Spectral Clustering and Deep Learning

• Technical Note
• Special issue "Software Tools and Resources 2025"

TmaxEduAI

• Built DL models, rule-based algorithms, and MLOps pipelines for tracking knowledge states and personalized content recommendation.

Bioinformatics and Intelligent Systems Lab

• Designed and implemented ML/DL-based post-processing tools for reranking and rescoring to enhance peptide identification accuracy in de novo sequencing.

The Construction Systems Laboratory

• Developed image classification and object detection models to detect potentially hazardous objects in indoor construction environments.

Post-Processing Framework Using Deep Learning to Improve Performance of De Novo Peptide Sequencing Results

• Poster Presentation – MP 410

Google for Developers Machine Learning Bootcamp

• A 3-month training program supported by Google Korea, with 500 participants selected from over 2,300 applicants.

Military Service

• Worked at the Government Complex Seoul.

Deep Learning Specialization

Engineer Big Data Analysis

Engineer Information Processing

Advanced Data Analytics Semi-Professional

• Outstanding Employee Award (Super Rookie), Tmax A&C

• Honor Student (1st, 2nd Sem), Inha University

• Grade Improvement Scholarship, Inha University