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The PDF version of the CV letter can be found here.

강민기 Mingi Kang

▣ Contact

▣ Research interest

My research has focused on predicting molecular properties and reactivity using ab initio calculations. Currently, I am particularly interested in two areas: accelerating chemical discovery through Machine Learning Potentials and understanding large-scale systems via MLP-based MD simulations at ab initio accuracy.

▣ Skills

◆ Programming Languages

  • Python (Advanced), Julia (Intermediate), Basic Bash

◆ Scientific Skills

  • Computational Chemistry: ASE, PySCF, Psi4, GAMESS-US, etc.
  • Machine Learning: PyTorch, scikit-learn
  • Visualization Tools: VMD, matplotlib, seaborn, etc.

◆ Code Development

  • Collaboration & Issue Tracking: Git
  • Python packaging & deployment
  • Basic Docker & Familiarity with Linux (ubuntu)
  • Cloud Service: Google Cloud Platform (GCP), AWS

◆ Large Scale Data Processing

  • File Formats: HDF5, SQL (MariaDB)
  • Data Collection: Web Crawling, APIs

▣ Research Experience

◆ Project Semester (Grant $1000) • Lab of Ultrafast Spectroscopy • Advisor: Jae Yoon Shin • July 2024 - December 2024

  • Collected and preprocessed of organic molecule dataset (10K) using the PubChem API
  • Performed large-scale (50K) QM calculations and built a normal mode perturbed molecular dataset
  • Fine-tuned of Universal Machine Learning Potentials (MLP) to improve accuracy in the transition state TS region
  • Studied of MLP-based MD simulations and simulated Carbon polymerizations and acetylene annulation reactions
  • Developed an ASE-compatible distortion interaction analysis calculation python package for applying MLP models

◆ X-Corps Program November • Biomedical Nano-engineering Lab • Advisor: Gyudo Lee • November 2019 - April 2020

  • Studied a paper-based colorimetric biosensor for measuring ethanol concentration and their color quantifications
  • Synthesized polyaniline (PANI) NPs and immobilized ADH on PANI-coated paper
  • Proposed a method for pH prediction using an RGB color picker and studied the correction of lighting brightness effect

◆ KUS Living Lab Program

• Immune Control Lab • Advisor: Hyun Sik Jun • December 2019 - February 2020

  • Established a database of medicinal properties of indigenous plant in Sejong
  • Investigated natural drug candidates for anti-cancer and anti-inflammatory effects

▣ Projects

◆ Personal Projects (Computational Chemistry)

  • ASE Calculators: Developed various ASE Calculators for interfacing with PySCF, XequilNet, and MLatom
  • OverlayMol: Interactive Molecular Overlay plot and reaction trajectory viewer using Plotly
  • aimDIAS: MLP (AIMNet2) based Activation Strain Analysis package
  • CompChem Archive: A collection of minor projects and studies in computational chemistry

◆ Image to Music Recommendation Service (Deep Learning) • :octocat: Github

2024 Like Lion Data Analysis School DATATON • June 2024

  • Proposed the project topic and managed its scheduling, planning, and overall design
  • Collected various types of data using APIs and web crawling, and performed data preprocessing
  • Studied a CNN-based sentiment classification model
  • Designed the service architecture, developed, and deployed the website using Streamlit

◆ Deepfake Voice Detection (Deep Learning) • :octocat: Github

2024 Like Lion Data Analysis School • Mentor: Dongbin Na • Sep 2024- May 2015

  • Investigated technical trends in synthetic TTS and studied relevant literature on deepfake detection
  • Proposed a strategy for generating deepfake voice data
  • Preprocessed audio data by adjusting sampling rates and converting file formats to wav
  • Transformed auto data into Mel spectrogram for modeling

▣ Presentations

  • Theoretical approach to molecular structural theory • 📄 Presentation • May 2023

    Informal Seminar Organized by COCO, undergraduate academic club

  • Measurement of Partial Molar Volume • 📄 Presentation • March 2023

    Physical Chemistry Lab Course Seminar

  • Introduction to UV-Vis Spectroscopy • 📄 Presentation • November 2020

    Analytical Chemistry Lab Course Seminar

  • Brief Introduction of Aldol Condensation Reaction • 📄 Presentation • June 2020

    Organic Chemistry Lab Course Seminar

▣ Education

Korea University, Sejong Campus • March 2019 - Present

B.S. Advanced Materials Chemistry | GPA (Cumulative, Major): (3.99, 4.11) / 4.5

TECHIT Data Analysis School • February 2024 - July 2024

Certificated in 6-Month Data Science & Artificial Intelligence Boot Camp

▣ Military service

The Republic of Korea's Army (Sergeant) • April 2021 - October 2022

18-Month Mandatory Military Service

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Last Updated on November 22, 2024