Taeho Jo
Assistant Professor at Indiana University School of Medicine
Indianapolis, Indiana, United States
Summary
👤
Senior🎓
Top SchoolTaeho Jo is an Assistant Professor and computational biologist with nine years of research experience at the intersection of bioinformatics, structural biology, and AI-driven medicine, currently based at Indiana University School of Medicine. He holds a PhD from Tokyo Medical and Dental University and has led deep-learning projects that produced novel biomarkers and tools for early, multimodal diagnosis of Alzheimer’s disease, leveraging large-scale genomics, multi-omics, and radiology data. His work spans academia and industry—from postdocs at RIKEN, University of Missouri, and University of Michigan to earlier software engineering at Adobe—bringing rare production-grade engineering rigor to biomedical ML. Author of the best-selling textbook "Deep Learning for Everyone," he also publishes the companion open-source code and Colab-ready notebooks, emphasizing practical, reproducible education. Notably, his research program blends protein-structure prediction and metabolite-based diagnostics, reflecting a track record of translating computational innovation into clinically relevant hypotheses.
9 years of coding experience
16 years of employment as a software developer
Inha UniversityDoctor of Philosophy - PhD, Bioinformatics, Computational Biology, Doctor of Philosophy - PhD, Bioinformatics, Computational Biology at Tokyo Medical and Dental University
English, Japanese, Korean
Github Skills (9)
linear-regression10
machine-learning10
jupyter-notebook10
python10
data-visualisation9
data-visualization9
data-visualizations9
google-colab9
tensorflow8
Programming languages (2)
Github contributions (5)
taehojo/deeplearning
Dec 2021 - Nov 2022
<모두의 딥러닝 개정 3판> (길벗, 2022)의 소스코드 및 실습 데이터입니다.
Role in this project:
ML Engineer
ML EngineerContributions:67 commits, 81 pushes in 11 months
Contributions summary:Taeho's commits involve uploading the source code and practice data for the third edition of the book "<모두의 딥러닝 개정 3판>". The commits detail code differences related to a linear regression example and Google Colab integration across several Jupyter notebooks. The changes include code implementations, visualizations, and model training, indicating the user's focus on practical deep learning applications.
taehojo/taehojo.github.io
Aug 2021 - Nov 2022
Contributions:67 commits, 89 pushes, 1 branch in 1 year 3 months
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