Interdisciplinary Computational Seminars

Fall 2008

These graduate student-oriented seminars provide a forum to present and learn about computationally-oriented research occurring in many different disciplines. Interaction is encouraged with an emphasis on sharing ideas and obtaining feedback regarding issues arising at any stage of the computational pipeline, from applications through models and methods to scalable parallel and distributed computing, storage and visualization. To make these talks accessible to a multi-disciplinary audience of researchers, no prior knowledge of the specific discipline area will be assumed by the speakers.


Fall 2008 Schedule

September 15

Information Extraction from Informal Texts
Lyle Ungar, CIS, University of Pennsylvania

September 22

Thermodynamics of natural images
Greg Stephens
, Physics, Princeton University

September 29
The Tradeoffs of Large Scale Learning
Leon Bottou, NEC
October 6
Combining Words & Pictures
Tamara Berg, Computer Science, SUNY Stonybrook
October 13

Coding and computation by neural ensembles in the primate retina
Liam Paninski, Statistics, Columbia University

October 20

Towards digital assays
Thierry Emonet, Molecular, Cellular and Developmental Biology, Yale University

October 27
No Seminar --- Fall Break
November 3
Sparse spatial sample kernels - An efficient way of measuring remote sequence similarity
Vladimir Pavlovic, Computer Science, Rutgers University
November 10
5-D Plasma Turbulence
Bill Dorland, Physics, University of Maryland
November 17

Learning Predictive Structures from Data using Supervised Dimensionality Reduction and Sparse Graphical Models
Irina Rish, IBM

November 24
What Is a Statistical Model and When Do I Need One?
Bill Press, Computer Science, University of Texas
December 1
Supernova Explosions on the Computer
Adam Burrows, Astrophysical Sciences, Princeton University
December 8

Billions of neurons, only hundreds of measurements -- can we possibly make sense of the brain?
Carlos Brody, Molecular Biology, Princeton University

MONDAYS, Computer Science Building, Room 302 (unless otherwise noted)
Seminars begin at 12:30 p.m.
These seminars are partially supported by the Princeton Institute for Computational Science and Engineering (PICSciE)
This seminar series consists of three types of talks:
PICASso "Successes" Seminar
Leading researchers are invited to present special sessions about key "Successes of Computational Science" in their field; i.e., areas of success in the science that could not have been (or easily been) achieved without scalable computation.
PICSciE Colloquium
Leading researchers are invited to present accessible overviews of their work, or tutorials on specific methods.
PICASso Research Seminar
Graduate students, post-docs and young faculty present overviews of their research projects and/or tutorials on computational methods they are using.

Interested in presenting a talk?

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