October 29, 2013
Hopleaf, 5148 N. Clark St., Chicago

Molecular modeling on computers can provide great benefits to society in a wide range of fields, such as medicine and the production and storage of renewable energy. It is a powerful tool that provides a window into the chemical world that is unparalleled in its ability to visualize the nano- and sub-nano environment. Learning how to comprehend this chemical complexity allows us to make incredible technological advancements, and gives us a greater appreciation for the underlying beauty to be found in the natural world.

Gabriel Burt, Civis Analytics
October 17, 2013
Ryerson, 4th floor conference room

SUMMARY
Technology and technologists can empower organizations working for 
change – in political campaigns, healthcare enrollment, reducing 
educational disparity, and more. Analytics technology is about putting 
scalable data stores and algorithms at the hands of analysts; it’s about 
enabling data-driven creativity, common sense, and responsiveness at 
scale. Come hear how the Obama re-election campaign used big data 
technology and analytics to guide where to allocate resources – where to 

Jinbo Xu, Toyota Technological Institute at Chicago
October 17, 2013
University of Chicago, Searle 240A, 5735 S. Ellis Ave. This talk will be broadcast via Adobe Connect (see below)

If we know the primary sequence of a protein, can we predict its 3D structure by computational methods? This is one of the most important and challenging problems in computational molecular biology and has tremendous implications for the understanding of life process, diseases and drug discovery. Depending on whether or not there is one solved structure similar to the protein sequence under consideration, computational methods for protein folding can be classified into two categories: template-based and template-free modeling.

John Doyle, Caltech
October 10, 2013
The University of Chicago, Searle 240A, 5735 S. Ellis Ave. and broadcast via Adobe Connect

This talk will focus on progress towards a more “unified” theory for complex networks motivated primarily by neuroscience, cell biology, and technology, and involving several elements: hard limits, tradeoffs, and constraints  on achievable robust performance ( “laws”), the organizing principles  that succeed or fail in achieving them (architectures and protocols), the resulting high variability data and “robust yet fragile” behavior  observed in real systems and case studies (behavior, data), and the processes by which systems adapt and evolve (variation, selection, design).

Murli Buluswar, Chief Science Officer, AIG Property Casualty
October 10, 2013
The University of Chicago, Searle 240A, 5735 S. Ellis Ave. and broadcast via Adobe Connect.
Learn how the first C-Suite Science function in a major corporation is harnessing internal & external data to augment the art of decision-making with science. Murli Buluswar, Chief Science officer for AIG, will share his team’s journey in applying data science to identifying and shaping opportunities that both measure and mitigate risk.