Last updated: January 15, 2024

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Computational Chemistry & Machine Learning Researcher

Research Interest

My research focuses on various areas of computational chemistry and machine learning applications in molecular simulations. I am particularly interested in developing new methods for accurate and efficient simulations of complex chemical systems.

Technical Skills

Programming Languages

Python (advanced)
Java (intermediate)
C++ (basic)

Scientific Skills

Quantum Chemistry: Gaussian, ORCA, etc.
Machine Learning: TensorFlow, Keras
Visualization Tools: PyMol, matplotlib, etc.

Code Development

Version Control: Git
Python packaging & deployment
Containerization: Docker
Cloud Services: AWS, Azure

Large Data Processing

File Formats: CSV, JSON
Data Collection: Web Scraping, APIs
Projects

Personal Project A

  • Developed a tool for Z
  • Implemented a new algorithm
  • Created a user-friendly interface

Image to Text Service (Deep Learning)

June 2021
2021 Data Science Hackathon
  • Proposed the project idea and managed the team
  • Collected and preprocessed image data
  • Trained a CNN model for image classification
  • Deployed the service using Flask

Voice Recognition System (Deep Learning)

September 2021 - May 2022
2022 AI Challenge
Mentor: Dr. Kim
  • Studied state-of-the-art voice recognition techniques
  • Developed a strategy for data augmentation
  • Preprocessed audio data and extracted features
  • Trained and evaluated deep learning models
Research Experience

Research Project A

January 2020 - June 2020

Lab of Computational ChemistryProf. Smith

  • Conducted experiments on X
  • Analyzed data using Y method
  • Published results in Z journal

Research Project B

July 2020 - December 2020

Lab of Machine LearningProf. Johnson

  • Developed a new algorithm for Q
  • Implemented the algorithm in Python
  • Presented findings at R conference

Research Project C

January 2021 - June 2021

Lab of Data ScienceProf. Lee

  • Collected and analyzed large datasets
  • Developed a predictive model for S
  • Collaborated with industry partners
Education

B.S. Chemistry

September 2018 - June 2022

Example University

GPA: (3.8, 4.0) / 4.0

Awards and Scholarships

Undergraduate Research Grant

Korea University

2024KRW 1,500,000

Chi-Woo Lee Scholarship

Korea University

2023KRW 5,000,000

Academic Excellence Scholarship

Korea University

2022KRW 2,350,000
Additional Activity

Data Science Bootcamp

February 2023 - July 2023

Completed a 6-month intensive course on data science and machine learning

Presentations

Introduction to Quantum Chemistry

Seminar Series, Department of Chemistry

May 2021

Machine Learning in Chemistry

Annual Chemistry Conference

March 2022

Data Visualization Techniques

Workshop on Data Science

November 2022

Applications of Deep Learning

AI Symposium

June 2023
Military Service

Sergeant

July 2022 - January 2024

Country's Army