Room 505, Cosmology Building, NTU
Speaker(s):
Lani Fang Wu (University of California, San Francisco)
Steven Jeffrey Altschuler (University of California, San Francisco)
Yu-Hau Tseng (National University of Kaohsiung)
Organizer(s):
Te-Sheng Lin (National Yang Ming Chiao Tung University )
1. Introduction & Purposes
This course is designed as an introduction to quantitative approaches in modeling and analyzing biological systems. The course material is suitable for participants with little or no background in biology.
2. Outline & Descriptions
Biological networks have the ability to create self-organizing behavior sand adapt to environmental changes. Systems biologists seek to understand how these robust behaviors arise out of simple parts and interactions. Mathematical models can be useful in hypothesizing fundamental principles and making predictions that can be experimentally tested.
Part 1. Introduction. We will introduce relevant, basic concepts from biology that are useful for the class. We will discuss several case studies that show how mathematical modeling was applied successfully to understand complex biological systems.
Part 2. Modeling. Students will learn state-of-the-art deep-learning engineering approaches to simulate networks in life sciences.
Part 3. Analysis of systems behaviors. Students will learn to uncover “design principles” underlying how the networks give rise to robust behaviors and how these behaviors are altered in response to disease or environmental changes.
In the mornings we will lecture and have discussions. In the afternoon, students will have hands-on opportunities to develop and play with these models
3. Schedule
Day 1
10:00 - 11:50 Lecture 1: Introduction to life sciences
13:30 - 16:00 Team project (planning)
16:00 - 16:30 Discussion (Strategies for simulating and analyzing biological systems)
Day 2
10:00 - 11:50 Lecture 2: Numerical methods for simulating biological systems (focus on physics-informed neural networks (PINNs))
13:30 - 16:00 Team project (implementation)
16:00 - 16:30 Discussion (Simulate biological systems)
Day 3
10:00 - 11:50 Lecture 3: Analyzing emergent behaviors of biological systems
13:30 - 16:00 Team project (analysis)
16:00 - 16:30 Discussion (Tips for making publication quality presentations)
Day 4
10:00 - 11:50 Team project (prepare presentations) 14:00 - 16:00 Team presentations
16:00 - 16:30 Discussion (What did we learn?)
4. Registration (Deadline 7/11, limited to 50 students.)
https://forms.gle/atiukGnFMnuAya297
Contact:
Murphy Yu (murphyyu@ncts.tw)
Poster: events_3_345250404564271567.pdf
