Jinjoo Shim

Jinjoo Shim

Digital Health Data Scientist

ETH Zurich

I’m a Digital Health Data Scientist. With 9+ years of work experience and solid academic background, my passion lies in exploring innovative digital health applications and biomarker research at the intersection of medicine, AI/ML, statistics, data science, and ubiquitous computing.

I’m currently pursuing a PhD in Applied Machine Learning in the Center for Digital Health Interventions at ETH Zurich.

Before ETH Zurich, I gained extensive expertise in diverse data modalities and analytical techniques in healthcare and medical research as I served as a Senior Data Scientist at Roche specializing in personalized healthcare, a Research Scientist at PRECISIONheor, and a Data Analyst/Biostatistician at Columbia University Medical Center. I obtained a Master’s degree in Biostatistics from Columbia University in the City of New York.

My PhD research focuses on digital biomarkers for aging and healthspan using wearables and digitalizing inflammatory biomarkers for systemic inflammation.

Interests
  • AI/ML in Healthcare
  • Digital Health/Digital Medicine
  • Digital Age/Healthspan Biomarker
  • Digital Inflammatory Biomarker
  • Precision Medicine
  • Pharmacoepidemiology
  • Multimodal, Real-world Data Analysis
Education
  • PhD in Applied Machine Learning, 2024

    ETH Zurich

  • MS in Biostatistics, 2012

    Columbia University in the City of New York

  • BS in International Health, 2010

    University of Alabama at Birmingham

Latest