IMPAN Seminar

Stochastic models in biological systems

Intensive course

Stochastic processes and inference in biology

Lecturers:

Thierry Mora and Aleksandra Walczak, École Normale Supérieure, Paris

Dates: Tuesdays and Thursdays, 14:15 - 16:00,

December: 05, 12, 14, 19
January: 09, 11, 16, 18, 23, 25

Place: Faculty of Mathematics, Informatics and Mechanics,
Banacha 2, room 5070

Syllabus

Stochastic processes in gene regulation and evolution

1. Noise and regulation in gene networks.
2. Entropy and Information theory.
3. Drift and fixation in population genetics.
4. Coalescence theory and branching processes in evolution or rate of adaptation.

Inference from data in biological systems.

5. Statistical inference.
6. Sequence analysis.
7. Maximum entropy and applications to neurons.
8. Applications of maximum entropy: bird flocking and proteins.

Lectures will be accompanied by research projects that students will work on them in groups.
The course will end with student project presentations.
The grade will depend on course attendance and project participation.