Theory of Biological Systems virtual seminar series
Update: We have concluded the seminar series for the academic year. You can sign up here to be informed about future seminars, and find recordings of this year’s talks below!
Below you can find recordings for our ‘21-‘22 Theory of Biological Systems seminars:
- Nov. 5th - Jane Kondev, Brandeis University. How cells measure length.
- Nov. 19th - Agnese Seminara, University of Genova. Olfactory prediction and navigation.
- Dec. 3rd - Ilya Nemenman, Emory University. Emergent dynamics in high throughut neural data.
- Dec. 17th - Shiladitya Banerjee, Carnegie Mellon University. Morphology, growth and resource optimization in bacterial cells.
- Jan. 7th - Milo Lin, University of Texas Southwestern. More energy is different.
- Jan. 21st @ 10:00 am CT - Aleksandra Walczak, Ecole Normale Supérieure. Viral-host co-evolution.
- Feb. 18th - Stephanie Palmer, The University of Chicago. How behavioral and evolutionary constraints sculpt early visual processing.
- Mar. 11th - Eleni Katifori, University of Pennsylvania. Optimal trade-offs in biological flow networks.
- Apr. 8th @ 9:00 am CT - Mor Nitzan, The Hebrew University of Jerusalem. Inferring collective spatiotemporal organization in biological systems from single-cell data.
- Apr. 15th - Orit Peleg, University of Colorado Boulder. Physical computation in insect swarms.
- Apr. 29th - Marianne Bauer, TU Delft. Sensing transcription factors in the fly embryo.
Simon Freedman, Madhav Mani, and I are excited to announce a virtual seminar series entitled Theory of Biological Systems. Our goal in this series is to provide a platform for students and early career scientists to become educated on the latest research topics on the interface of biology, physics, and mathematics, and also to form cohesion between the disparate topics that our community studies.
In addition to showcasing cutting edge research, part of the emphasis of our series is to foster a conversation between speakers and the audience about topics of broad concern in the “Theory in Biology” community (e.g., where theorists could have the greatest impact, what are the big unsolved questions, and where may lay some research pitfalls).