ITS @ CUNY

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Dec
14
9:30 AM09:30

Exploring sequence space

  • The Science Center (Rm 4102), The Graduate Center, CUNY (map)
  • Google Calendar ICS

F Dec 14 9:30am-6:15pm in the Science Center (Rm 4102)
Events begin at 9:30 AM with coffee and bagels, and conclude a bit after 6 PM. Lunch will be served.
Register here: https://goo.gl/forms/WOaSDEb0aOcX7MFK2.

Sequence diversity in the adaptive immune system
Curtis Callan, Princeton University

Deep learning and proteins
Lucy Colwell, Cambridge University

Learning protein constitutive motifs from sequence data
Remi Monasson, École Normale Supérieure

The evolutionary “design” of proteins
Rama Ranganathan, The University of Chicago

Full series PDF here.

Sponsored by the Initiative for the Theoretical Sciences, and by the CUNY doctoral programs in Physics and Biology. Supported in part by the Center for the Physics of Biological Function, a joint effort of The Graduate Center and Princeton University. For more information see https://biophysics.princeton.edu.

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Nov
16
9:30 AM09:30

Seeing beyond V1

  • Skylight Room (Rm 9100), The Graduate Center, CUNY (map)
  • Google Calendar ICS

F Nov 16 9:30am-6:15pm in the Skylight Room (Rm 9100)
Events begin at 9:30 AM with coffee and bagels, and conclude a bit after 6 PM. Lunch will be served.
Register here: https://goo.gl/forms/NMpuJjxwY81g8ETE2

Neural mechanisms for seeing without V1
Tony Ro, The Graduate Center, CUNY

How the brain signals memories of what we’ve seen
Nicole Rust, University of Pennsylvania

How high-order image statistics shape cortical visual processing
Jonathan Victor, Weill Cornell School of Medicine

Using goal-driven deep neural networks to understand the visual pathway
Daniel Yamins, Stanford University

Full series PDF here.

Sponsored by the Initiative for the Theoretical Sciences, and by the CUNY doctoral programs in Physics and Biology. Supported in part by the Center for the Physics of Biological Function, a joint effort of The Graduate Center and Princeton University. For more information see https://biophysics.princeton.edu.

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Oct
26
9:00 AM09:00

Entanglement, Chaos, and Complexity in Field Theory and Gravity

  • Elebash Hall, The Graduate Center, CUNY (map)
  • Google Calendar ICS

F Oct 26 9am-6pm in Elebash Hall

Recent years have seen an explosion of interest in the role of quantum information in physical theories. Tools from quantum information such as complexity and entanglement are being used to understand and even formulate the behavior of quantum field theories and quantum gravity. Conversely these physical theories provide new settings where concepts from quantum information can be calculated and understood. This workshop will be devoted to recent developments in this area. Topics to be covered include:

Entanglement entropy in quantum field theory
Holography and entanglement entropy
Toy models of holography
Quantum chaos
Complexity

Friday 26 October 2018
9:30 AM Coffee and bagels

10:00 AM Title TBA
Robert Myers, Perimeter Institute

11:30 AM Coffee


12:00 PM dS/dS, T-Tbar and EE
Eva Silverstein, Stanford University

1:30 PM Lunch

3:00 PM Open Strings at the Rindler Horizon
Edward Witten, Institute for Advanced Study

4:30 PM Coffee

5:00 PM Universal scrambling dynamics and quantum gravity
Brian Swingle, University of Maryland

Download event pdf here.

Sponsored by the Initiative for the Theoretical Sciences, and by the CUNY doctoral program in Physics. Organized by Vijay Balasubramanian, Sebastian Franco (CCNY),
and Daniel Kabat (Lehman College)

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Oct
12
9:30 AM09:30

Evolutionary dynamics and influenza

  • The Science Center (Rm 4102), The Graduate Center, CUNY (map)
  • Google Calendar ICS

F Oct 12 9:30am-6:15pm in the Science Center (Rm 4102)
Register
here. Download full schedule here.

9:30am Coffee & Bagels

10:30am What the 1918 flu taught us about adaptation to self
Benjamin Greenbaum,  Mount Sinai School of Medicine

11:30am Coffee

12:00pm Minimal fitness models for evolutionary predictions
Marta Łuksza, Mount Sinai School of Medicine

1:30pm Lunch

2:30pm Universality in rapidly adapting populations
Richard Neher, University of Basel

4:00pm Coffee

4:30pm Learning influenza infection dynamics from genetic data
Daniel Weissman, Emory University

Full series PDF here.

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Sep
21
9:00 AM09:00

Machine learning in the molecular sciences

  • The Science Center (Rm 4102), The Graduate Center, CUNY (map)
  • Google Calendar ICS

F Sept. 21 9am-6pm in the Science Center (Rm 4102)
Register
here.

Machine learning (ML) and data-driven computational approaches have recently emerged as promising new tools to tackle complex optimization and computational problems. This workshop offers exciting new developments in applying such approaches to address challenging theoretical and computational issues in molecular sciences. Experts in quantum calculations, dynamics, molecular reactions, and materials design will share unique ideas and challenges.

Download PDF full schedule here.

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