Skip to content
View jmsung's full-sized avatar
🎯
Focusing
🎯
Focusing
  • Roche Sequencing Solution
  • Santa Clara

Block or report jmsung

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jmsung/README.md

Hi there 👋

I’m an AI Research Scientist with over 15 years of experience in industry and academia. I leverage my background in physics, biology, and computational methods to develop AI-driven solutions for complex biological challenges. My expertise spans statistical modeling, multi-omics analysis, and machine learning applications in human health, longevity, and drug discovery.

My personal mission is to enable healthy lifespans of up to 200 years through breakthroughs in Bio-ML—contributing innovations that benefit all of humanity. Outside of work, I’m a lifelong swimmer and avid runner.

🔭 Currently working on:

  • SBX: Nanopore-based single-molecule sequencing technology @ Roche Sequencing Solutions
  • HFC: Evaluating generative AI reasoning models and prompt engineering @ Scale AI
  • Digital Pathology: Pancreatic cancer survival prediction from whole-slide images (WSIs)
  • Cyber Security: LLM assisted cyber security for abnormality detection
  • AI Assisted Protein Design: Protein language model with few shots learning for AI assisged genome editinng
  • Bio-ML: Various Biology and ML projects

📫 Get in touch:

Pinned Loading

  1. digital-pathology digital-pathology Public

    Predicting Pancreatic Cancer Patient Survival Using AI and Digital Pathology

    Jupyter Notebook 1

  2. jmsung.github.io jmsung.github.io Public

    HTML

  3. smor-analysis smor-analysis Public

    Single molecule analysis of fluorescent ligand binding

    Python

  4. bio-ml bio-ml Public

    HTML

  5. EvolvePro EvolvePro Public

    Forked from mat10d/EvolvePro

    This is the offical codebase to reproduce and use EVOLVEpro, a model for in silico directed evolution of protein activities using few-shot active learning.

    Python

  6. Pro-FSFP Pro-FSFP Public

    Forked from ai4protein/VenusFSFP

    Pro-FSFP: Few-Shot Protein Fitness Prediction

    Python