Ho-min Park

Ho-min Park

Postdoctoral Researcher Biomedical & Biological AI

About

Ho-min Park

Postdoctoral researcher in Computer Science Engineering specializing in biomedical and biological AI, with extensive experience developing deep learning solutions for medical imaging (laparoscopy, MRI, microscopy), structural biology (CRISPR-Cas systems and anti-CRISPR proteins), and genomics. Demonstrated expertise in building interpretable, clinically oriented ML pipelines validated in collaboration with surgeons, biologists, and environmental scientists.

Currently a Postdoctoral Researcher at Ghent University Global Campus (under Prof. Joris Vankerschaver, since November 2025) and Assistant Professor at Texas Children’s Hospital Data Center (Houston, TX, 2026), where research will focus on advancing biomedical AI for pediatric and oncological applications.

Research Focus

  • Biomedical AI: Medical imaging (laparoscopy, MRI, microscopy), computer-aided diagnosis, interpretability (SHAP, attention, CAM)
  • Biological AI: CRISPR-Cas systems, anti-CRISPR proteins, protein structure prediction, genomics
  • Multimodal Learning: Affective computing, multimodal sentiment analysis, transformer-based architectures
  • Applied ML: Self-supervised learning, environmental monitoring (microplastics), industrial systems

Professional Experience

Position Institution Period
Postdoctoral Researcher Ghent University Global Campus, South Korea November 2025 – Present
Assistant Professor Texas Children’s Hospital Data Center, Houston, TX 2026

Mentoring & Educational Leadership

AI Vacation School (AIVS) - Founder & Lead Instructor (2021 - 2026)

Ghent University Global Campus

  • Founded and led a volunteer-driven intensive AI education program at the Center for Biosystems and Biotech Data Science, supporting over 30 participants across summer and winter cohorts
  • Designed a 20-lecture curriculum spanning: regression, MLPs, CNNs, RNNs, Transformers, LLMs, GANs, Diffusion models, unsupervised learning, and XAI (SHAP)
  • Mentored participants who have advanced to top graduate programs including KAIST, Seoul National University, UNIST, Ghent University (Belgium), and Scripps Research Institute (San Diego, CA)
  • Co-authored peer-reviewed publications with alumni in IEEE Transactions on Affective Computing, BMC Bioinformatics, PLoS ONE, SPIE Medical Imaging, and ACM Multimodal Sentiment Analysis Workshop
  • Developed open-source educational and research artifacts including CRISPR-Cas-Docker, MP-Net segmentation toolkit, and the MPSet dataset on Kaggle
Resources: Program Repository Lecture Slides

Education

Degree Institution Year Details
Ph.D. Computer Science Engineering Ghent University, Belgium 2025 Dissertation: “Advancing Detection through Deep Learning for Industrial, Environmental, and Health Applications”
M.S. Computer Engineering Ajou University, South Korea 2018 Thesis: “Cited count prediction modeling from large citation network”
B.S. Computer Science and Engineering Ajou University, South Korea 2016 Major in Computer Science and Engineering

Skills

ML & AI Expertise

  • Architectures: CNN, RNN, LSTM, GRU, Transformer, GAN, Diffusion Models, MLPs
  • Techniques: Supervised/Unsupervised Learning, Transfer Learning, Feature Engineering, Model Explainability (SHAP, CAM)
  • Tools: PyTorch, PyTorch Lightning, Weights and Biases (WandB), Python

Languages

  • Korean: Native speaker
  • English: Professional proficiency (TOEIC 860, OPIc IH)

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