Speakers and Abstracts

Mind Bytes Speakers and Abstracts

This list is not exhaustive, but below you will find a number of the speakers who will present at Mind Bytes.

Opening Remarks

Don Levy

Vice President for Research and National Laboratories

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Biography:
Donald H. Levy, Albert A. Michelson Distinguished Service Professor in Chemistry, is the University of Chicago’s Vice President for Research and for National Laboratories, CEO of UChicago Argonne, LLC, Vice-chairman of the Board of Governors for Argonne, and a Member of the Board of Directors for Fermilab.

Named to the University position in 2007, Levy’s responsibilities include oversight of the management contracts for both Argonne National Laboratory and Fermi National Accelerator Laboratory, the Office of Technology and Intellectual Policy, the Office of University Research Administration, the Research Computing Center, Arete (UChicago’s research accelerator), University-Argonne research centers and all issues related to Human Subjects Research. The annual research budget of the University is more than $400 million. The combined annual research budget for Argonne and Fermilab is $900 million.

In addition to his responsibilities for research across the University and Argonne campuses, Levy chairs the Science Policy Council, a collaboration with Argonne, Northwestern University and the University of Illinois, established in 2005 to enhance Argonne's scientific capabilities, to strengthen the state's technological base and workforce preparation, and to improve Illinois' ability to compete for federal research funding.

Levy joined the University of Chicago faculty in 1967. He is a member of the National Academy of Sciences and a Fellow of the American Academy of Arts and Sciences, the American Physical Society and the American Association for the Advancement of Science. He is a former Chairman of the Chemistry Department and he played an important leadership role in planning the new Gordon Center for Integrative Science. A physical chemist, Levy was a leader in developing and using supersonic jet cooling to study the structure of molecules.

Levy was editor of the Journal of Chemical Physics from 1998 - 2008. His awards include the E. Bright Wilson Award in Spectroscopy and the Ellis Lippincott Award from the Optical Society of America and the Plyler Prize of the American Physical Society. He received his B.A. from Harvard University, and his Ph.D. from the University of California, Berkeley.

 

Faculty Lightning Talks

Juan de Pablo

Liew Family Professor in Molecular Engineering, Institute for Molecular Engineering

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Biography/Research Interests:
Much of Juan de Pablo’s work entails conducting supercomputer simulations to understand and design new materials from scratch and to find applications for them.

He is a leader of simulations of polymeric materials, including DNA dynamics — how DNA molecules arrange and organize themselves and interact with other DNA molecules. He also studies protein aggregation and its poorly understood relationship to various diseases, including type II diabetes and neurodegenerative disorders.

De Pablo earned a bachelor’s degree in chemical engineering from Universidad Nacional Autónoma de México in 1985. After completing his doctorate in chemical engineering from the University of California, Berkeley, in 1990, he conducted postdoctoral research at the Swiss Federal Institute of Technology in Zurich, Switzerland, then joined the faculty of the University of Wisconsin. He came to the University of Chicago in 2012.

Andrey Kravtsov

Professor, Department of Astronomy and Astrophysics, Kavli Institute for Cosmological Physics, and The Enrico Fermi Institute

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Biography/Research Interests:
Andrey Kravtsov's main area of research is modeling of various aspects of structure formation in the Universe using numerical simulations. The primary focus of his work is thus development and analyses of computer models of galaxies and galaxy clusters and tests of model predictions against observations from very early epochs to the present. These tests are used to investigate the implications of various hypotheses regarding the nature of dark matter and dark energy, as well as constraining parameters of the cosmological model that describes our Universe. He is also interested in developing and using new numerical and scientific visualization techniques. To run high-resolution numerical simulations he uses large supercomputers at the national supercomputer centers and those abroad.

Kravtsov earned his bachelor's degree in physics and astronomy from Moscow State University in 1994 and a master's degree in physics from the same university in 1995. He earned a master's degree in astronomy in 1997 and a PhD in astronomy and computer science in 1999 from New Mexico State University.

Burhaneddin Sandikci

Associate Professor of Operations Management, Booth School of Business

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Biography/Research Interests:
Burhaneddin Sandikçi studies decision-making problems under uncertainty with special interest in problems in medical decision making and health care operations. He is particularly interested in the mathematical modeling and analysis of such problems. His research is widely motivated by practical considerations and he heavily uses real data in calibrating and solving his models. His most recent work include modeling and analyzing the accept/reject problem faced by liver transplant patients. Using large databases and sophisticated mathematical models, this work demonstrates the impact of using the partially observable waiting list information (as available in the current practice) on patient’s life expectancies.

A native of Turkey, Sandikçi earned a bachelor's degree in industrial engineering from Marmara University in Istanbul in 1999. He earned two master's degrees: one in industrial engineering from Bilkent University in Ankara in 2001 and one in operations research from the University of North Carolina at Chapel Hill in 2003. He earned a PhD in industrial engineering from the University of Pittsburgh in 2008. Sandikçi joined the Chicago Booth faculty in 2008. 

John Goldsmith

Edward Carson Waller Distinguished Service Professor, Department of Linguistics, Department of Computer Science

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Dr. John Goldsmith's current research interests lie in the history of linguistic thought, and the development of machine learning models for the inference of linguistic structure from raw textual data. He spent the academic year 2006-2007 working with Bernard Laks at the Université de Paris X (Nanterre), working on a book entitled Battle in the Mind Fields, dealing with the development of the mind sciences in the 20th century.

Since 1997, he has been working on an open-source computational linguistics project named Linguistica, whose goal is to automatically develop a morphological analysis of an unknown language from a raw sample of text, using the tools of information theory to make explicit what linguistic structure is.

David Biron

Assistant Professor, Department of Physics, James Franck Institute, and the College

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Biography/Research Interests:

David Biron studies the behavior of the roundworm Caenorhabditis elegans in the hopes of shedding light on the function and evolutionary origins of animal behaviors such as locomotion, feeding and sleep. He is particularly interested in the sleep-like behavior of C. elegans, and its implications for the origin of sleep in animals. To answer these fundamental questions about animal behavior, Biron’s lab brings together scientists from fields as disparate as physics, neuroscience and genetics. Biron received his PhD from the Weizmann Institute in 2004, and joined the Chicago faculty in 2009.

 

Innovation and Inspiration through Cognitive Computing

Swami Chandrasekaran

Executive Architect & Technical Leader, Watson CTO Office, IBM

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Abstract:
Innovation and Inspiration through Cognitive Computing
Imagine if you could take the skills, and experience of your organization's top experts and scale that insight across your entire organization. Imagine if you could find new related pathways in your data to make discoveries in a fraction of the time you could before. Imagine a world where information presented itself at the point of possibility, decisions were made with all available evidence, and the expertise of your entire organization was available on demand. This is the power of what can be achieved with Cognitive Computing. IBM Watson a cognitive system and is the new competitive advantage. In this session you will get a look at what is next for cognitive computing, and learn how you can capture a sustained competitive advantage today by tapping into the transformative power of IBM Watson.

Biography:
Swami sets & drives the technical agenda and cognitive computing, works with clients on building IBM Watson based cognitive, analytics & big data solutions. His team is responsible for driving the technical strategy around customization of Watson for various solutions in key industries, such as healthcare, telecom, public sector and financial services.

Prior to his current role, Swami was the chief architect for IBM Software - Business Solutions. Under his leadership, his team worked with several customers on several solutions in the areas of OSS/BSS transformation, cloud broker, digital media supply chain, mobile payments, smart metering. Previously he has also worked for KPMG, BearingPoint and Ericsson Research. He has worked with customers in 25+ countries, is an IBM Executive Certified Architect and holds a Masters in Electrical Engineering from UT Arlington. He has authored several books & publications in the areas of natural language processing, data science, BPM, SOA and enterprise integration.

 

Big Data Panel

Michelangelo D'Agostino

Senior Data Scientist, Civis Analytics

Biography:
Michelangelo D'Agostino is a reformed particle physicist turned data scientist. He is currently the lead data scientist for Braintree, a Chicago-based online payments company that was recently acquired by PayPal. Prior to Braintree, Michelangelo was a senior analyst with the 2012 Obama re-election campaign.

As a member of the campaign's highly successful analytics effort, he used data and statistical models to effectively raise money, recruit volunteers, and turn out voters. He holds a PhD in particle astrophysics from the University of California, Berkeley, where he got his start with machine learning through large-scale data analysis of neutrino physics data from the IceCube experiment located at the South Pole. He has published extensively in scientific journals and has covered science and technology for The Economist.

Nick Kadochnikov

Data Scientist, Educator and Business Analytics Consultant, IBM

Biography:
Nick Kadochnikov is a data scientist, currently working as an executive program manager for Business Analytics Transformation at IBM. Nick’s focus is in the areas of predictive analytics, text analytics/social media analytics, and change management. He is equally experienced in both “doing” analytics as well as “consulting” on analytics, which includes integrating analytical projects into the business processes to improve their effectiveness and efficiency.

In his professional career Nick has been applying analytics to various areas of the business, such as marketing, sales, fraud prevention, product development, and financial optimization. He uses advanced data mining techniques, builds econometric models, and works with big data, including: client wallet estimates, segmentation, ROI for smart, propensity to buy, development productivity, and social business. He holds an MS in economics from St. Petersburg State University and MS in global marketing management from Virginia Commonwealth University.

Joe Kleinhenz

Director, Big Data Analytics and Product Intelligence, Allstate

Biography:

Joe Kleinhenz is currently the Director of Big Data Analytics at Allstate, driving Allstate’s efforts around Big Data and how to leverage it with predictive analytics to bring real value to the business. Utilizing a background in Information Technology, Marketing Analytics, Consulting, and GE Six Sigma Black Belt certification he’s been able to bring a well rounded and unique approach to bridging the gap between business, IT, analytics, and people, helping to unlock data’s value consistently delivering game changing results.

Andrei Broder

Distinguished Scientist, Google

Biography:

Andrei Broder is a Google Distinguished Scientist.   From 2005 to 2012
he was a Fellow and VP for Computational Advertising at Yahoo!.  
Previous positions include  Distinguished Engineer at IBM and  VP for
Research and Chief Scientist at AltaVista.  Broder has authored more
than a hundred papers and was awarded more than forty US patents. His
current research interests are centered on  personalization,
computational advertising, web search, context-driven information
supply, and randomized algorithms. He is a member of the US National
Academy of Engineering and a Fellow of ACM and of IEEE.  Other honors
include the ACM  Paris Kanellakis Theory and Practice Award and a PhD
Honoris Causa from the Technion.