Tzu-Yu Liu
co-taught by Che Lin, Mei-Ju Chen

Spring Semester
Tue 3, 4, 5 (10:20~13:10)
BEBI502｜945EU0320

3

The convergence of artificial intelligence and biotechnology is revolutionizing how we understand biology, develop therapeutics, optimize treatments, and engineer living systems. AI for TechBio Innovation is an advanced course designed for scientists, engineers, and innovators eager to harness AI to accelerate breakthroughs in healthcare and biotechnology. Through a dynamic combination of lectures, case studies, and hands-on exercises, participants will explore how large-scale machine learning models are applied across critical domains such as drug discovery, multi-omics integration, digital pathology, continuous patient monitoring, and spatial/single-cell analysis. The course highlights both the technical foundations, such as model architectures and computational pipelines, and the innovation mindset essential for translating AI research into real-world TechBio applications, reinforced by industry case studies.