Adventures with computational modeling and information theory: from grains to bits
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GSNP tutorial (short course) at the 2023 APS March meeting
8:00am-5:30pm on Sunday March 5, 2023 | Las Vegas, Nevada
Room 222/223, Caesars Forum
Program
The schedule and talk abstracts may be found in this google doc.
Emergent collective motion and rigidity in confluent biological tissues
Lisa Manning, Syracuse University
Structural, vibrational, and mechanical properties of packings of deformable particles
Corey O’Hern, Yale University
Applications of the deformable particle model to biological systems
Mark Shattuck, City College of New York (CUNY)
How activity and deformability change the glass transition
Francesco Arceri, Yale University
Bits, brains, and Boltzmann: Physics of information in living systems
William Bialek, Princeton University
How well do neurons, humans, and artificial neural networks predict?
Sarah Marzen, Claremont McKenna College
More (species) is more different: information-rich matter in the multicomponent limit
Arvind Murugan, University of Chicago
Thermodynamic foundations for understanding information processing in living and artificial systems
Susanne Still, University of Hawaii at Manoa
The other side of entropy
Stefano Martiniani, New York University
How machine learning is enabling an information-theoretic approach to data analysis and the design of experiments
Kyle Cranmer, University of Wisconsin-Madison
How to register
When you register for the March meeting, you have the option to add tutorial(s) to your registration.
This short course is listed as “GSNP Short Course on computational modeling and machine learning”.
You have the option to register for the computational modelling portion of the program (the morning, listed as Part I), the information theory part of the program (the afternoon, listed as Part II), or both! The price varies:
Students: $80
Early Career: $120
Regular APS members: $150
Non-APS members: $200
Sponsors
We acknowledge generous support from:
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Contact us
Please reach out if you have any questions:
Dong Wang, dong.wang@yale.edu
Kieran Murphy, kieranm@seas.upenn.edu
Daphne Klotsa, dklotsa@email.unc.edu