Multiscale Mathematical Biology: from individual cell behavior to biological growth and form

A collage of images related to math biology: a zebra, a heart with an excitation wave, and models of angiogenesis and phyllotaxisIn the autumn semester of 2019, we will be teaching the seventh edition of the course "Multiscale Mathematical Biology" at the Mathematical Institute of Leiden University.

The course will run in the second half of the semester, starting from Wednesday October 16th, 2019. There will be lectures on Wednesdays, from 11:15-13:00 followed by a computer lab from 14:15-16:00. On Fridays there will be further lectures, from 9:15-11:00.

The course introduces students to the mathematical and computational biology of multicellular phenomena, covering a range of biological examples, including development of animals and plants, blood vessel growth, bacterial pattern formation and diversification, tumor growth and evolution. The course is also part of the Minor "Quantitative Biology"; students therefore come from a mix of scientific backgrounds, ranging from biology to mathematics and physics. 

For more information, see the overview below, or write Roeland an email. The course consists of a series of lectures,  practical assignments using biological modeling environments, and a final project.

Course description:

Biological systems are so complex, that biologists often need to call in the help from mathematicians and computational scientists. These questions constitute a rich source of applied mathematical problems, for which often a range of mathematical and computational techniques need to be combined with one another. Mathematical insight into dynamical systems, pattern formation, complex networks, multiscale dynamics and parallel processing turn out to be a tremendous help while trying to ‘make sense of life’.

This course will in particular introduce you to the mathematical modeling of healthy and diseased multicellular organisms, like ourselves. A key question is how cells cooperate to create biological structure, and how this biological structure feeds back on gene expression. The focus will be on how to sharpen one’s intuition on the emergence of biological systems and patterns by using and further developing a variety of continuous and discrete mathematical models of biological systems.

Mathematical techniques include ordinary-differential equations, partial-differential equations, cellular automata, Hamiltonian systems, and in many cases combinations of those. This course will cover a range of multicellular phenomena, including development of animals and plants, blood vessel networks, bacterial pattern formation and diversification, tumor growth and evolution.

At the end of course students will have an overview of and some hands-on experience with a range of mathematical and computational techniques that computational biologist use in the study of collective cell behavior and biological pattern formation. They are familiar with recent literature on multiscale biological modeling and they have some experience with constructing basic computational models and hypotheses of phenomena described in the biological literature.

Overview of topics

Computer labs
Seminars and mini-projects

In the final part of the course, you will form teams and use the skills you have learned in the course to work on a small research project to follow up on, or inspired by a published paper.


EXAM: 15 January 2020, 2nd Take: 13 March 2020

 

Paper Presentation Schedule

t.b.d.

Practical information:

Course material: Slides will be handed out after the lectures. Reading material: papers. Syllabus in progress.

Material is available at: (Password protected)

Lecturer: Roeland Merks + guest lecturers

Assistants: t.b.d.

Language: English, unless all students speak Dutch

Time: October 16th - December 13th, 2019, Wednesdays and Fridays, Leiden University, Snellius (Mathematics)

Location: University of Leiden, Snellius (Wiskunde). Rooms t.b.d.

Methodology: lectures, paper seminar, practical exercises, mini-project, exam.

Required knowledge: Basic background in biology is useful (in particular cell biology or developmental biology) but not required. Some programming skills and familiarity with numerical algorithms and differential equations are useful, but not required.

Evaluation: 1) Practicum assignments; 2) Final project + literature presentation; 3) Written exam

For students of: 3rd Bachelor and 1st Master’s Mathematics and Biology, Minor Quantitative Biology, and other interested students from (Astro)Physics, Pharmaceutical Sciences, and so forth.