Teaching and Advising

Messages to prospective students

We believe the future is being shaped at the intersection of technology and biomedicine. The following words capture the vision that drives our research:

• • “The biggest innovations of the 21st century will be at the intersection of biology and technology. A new era is beginning.” — Steve Jobs, Co-founder of Apple

  • “We’re at the beginning of the AI wave... And to make it personal, the area that excites me the most is what we can do in medicine and health.” — Lisa Su, Chair and CEO of AMD

  • “Where do I think that the next amazing revolution is going to come? And this is going to be flat-out one of the biggest ones ever… There’s no question that digital biology is going to be it. For the very first time in our history—in human history—biology has the opportunity to be engineering, not science.” — Jensen Huang, Founder and CEO of NVIDIA

If this vision resonates with you, we invite you to be part of it. We warmly welcome students who are passionate about machine learning and share our vision of applying technology to save lives. Prospective students may apply through the following affiliated programs.

• Undergraduate students from the Department of Electrical Engineering (電機資訊學院 / 電機工程學系)

• Master’s and Ph.D. students from the Biomedical Electronics program at the Graduate Institute of Biomedical Electronics and Bioinformatics (電機資訊學院 / 生醫電子與資訊學研究所 / 生醫電子組)

• Master’s and Ph.D. students from the Data Science and Smart Networking program at the Graduate Institute of Communication Engineering (電機資訊學院 / 電信工程學研究所 / 資料科學與智慧網路組)

• Master’s and Ph.D. students from the Precision Health and Intelligent Medicine program at the Graduate School of Advanced Technolog (重點科技研究學院 / 精準健康學位學程)

• Master’s students from the Smart Medicine and Health Informatics program (國際學院 / 智慧醫療與健康資訊碩士學程)

Courses

2026 fall semester

• Machine Learning (EE 5184 / 921 U2620): syllabus

• Medical Device Innovation (BEBI 5002 / 945 U2920): program website

• Fundamentals of Bioinformatics (631 U3210)

• Smart Medicine and Health Informatics (MHI 7400)

• Fundamentals of Biomedical Engineering (921 U3060)

2026 spring semester

• AI for TechBio Innovation (945 U0320): syllabus

• Signals and Systems (EE 2011)

• Executive Biodesign course website

2025 fall semester

• Machine Learning (EE 5184 / 921 U2620): syllabus

• Medical Device Innovation (BEBI 5002 / 945 U2920): program website

• Fundamentals of Bioinformatics (631 U3210)

• Smart Medicine and Health Informatics (MHI 7400)

• Fundamentals of Biomedical Engineering (921 U3060)

2025 spring semester

• Signals and Systems (EE 2011): course website

• Introduction to Biomedical Engineering (901 31700)

• Special Topics in Innovative Integration of Medicine and EECS (II) (IMP 5007)

• Smart Medicine and Health Informatics (MHI 7400)

• Executive Biodesign: course website

2024 fall semester

• Machine Learning (EE 5184 / 921 U2620): syllabus, guest speaker flyer

• Medical Device Innovation (BEBI 5002 / 945 U2920): syllabus, program website

• Introduction to Biomedical Engineering (901 31700)

• Fundamentals of Bioinformatics (631 U3210)

2023 fall semester

• Machine Learning (EE 5184 / 921 U2620): syllabus, guest speaker flyer

• Introduction to Biomedical Engineering (901 31700)

• Fundamentals of Biomedical Engineering (921 U3060)

Miscellaneous items 

• Article posted on EE alumni [臺大電機之友].

• Our work at ITRI on drug discovery with generative AI reported on GeneOnline [link].