<img height="1" width="1" alt="" style="display:none" src="https://www.facebook.com/tr?id=648880075207035&amp;ev=NoScript">
BayesiaLab
2nd Annual BayesiaLab User Conference

2nd Annual BayesiaLab User Conference

Day 2: Main Conference Sessions & User Presentations

Carnesale Commons, UCLA

September 24, 2014
7:30am - 5:45pm

UCLA, Carnesale Commons, Palisades Ballroom
251 Charles E Young Dr West
Los Angeles, CA 90095

Please note that this is a very new venue on the UCLA campus, and its official address does not appear correctly on map applications and navigation systems. Click here to download directions.


Leading practitioners from all over the world will join us for this event, the only forum focused exclusively on applied research with Bayesian Networks. At this conference, you will see presentations of real-world case studies from a wide range of application domains, all utilizing the Bayesian Network paradigm.

Of special significance is the place where we will host our event this year, the birthplace of Bayesian networks, UCLA. It is very fitting that Professor Judea Pearl, the "father" of Bayesian Networks, will be the keynote speaker at this conference.

"There could be no greater honor for the BayesiaLab user community than having Professor Pearl join our event," says Dr. Lionel Jouffe, cofounder and CEO of Bayesia, who will be hosting the conference. Dr. Jouffe continues, "It is a very special privilege to hear directly from the man who created the Bayesian Network paradigm." 

Beyond the main conference day, we have scheduled a weeklong pre-conference program, which includes introductory and advanced BayesiaLab courses, plus a new 2-day course on causal inference with graphical models.


Program Overview

7:30am - 8:00am
Check-In and Continental Breakfast

8:00am - 12:15pm
Morning Session & User Presentations

12:15pm - 1:30 pm
Lunch

1:30pm - 5:45pm
Afternoon Session & User Presentations

agenda2c

Download Conference Schedule (PDF)


Registration


Conference Speakers

Judea Pearl, Ph.D. (Keynote at Opening Session on Day 1, September 23, separate, free registration required)
Professor of computer science and statistics at UCLA, and distinguished visiting professor at the Technion, Israel Institute of Technology
From Bayesian Networks to Causal and Counterfactual Reasoning

David Aebischer
Chief of Special Projects, US Army Communications Electronics Command (CECOM), Training Support Division (TSD)
Bayesian Belief Network Applications for Supporting Warfighters

Ferit Akova
Machine Learning and Computational Intelligence Scientist, Geisinger Health System, Neurosciences Department
ProvenCare Lumbar Spine Prediction Model

Jack Y. Chen, Ph.D.
Chief Data Scientist, Dell Inc.
Revolutionizing Decision Making: How Analytics Will Take Over the Business

Alex Cosmas
Senior Manager, Booz Allen Hamilton
So you can predict the future... But can you change it?

Felix Elwert, Ph.D. (Pre-Conference Course: Causal Inference with Directed Graphs)
Associate Professor of Sociology, University of Wisconsin-Madison

Roman Fomin
Senior Research Scientist, Omegawave Ltd., Finland
Prediction of Overall Team Peformance and Injury in Team Sports

Michael Grimes 
Principal, Veterans Technology Group Inc.
Bayesian Belief Network Applications for Supporting Warfighters

Benoit Hubert
Scientific Director, GfK, France
Bayesian Networks and Small Data

Dr. Lionel Jouffe, (Pre-Conference Program: Introductory & Advanced BayesiaLab Course)
CEO, Bayesia S.A.S., France
Causal Analysis with Structural Equation Models and Bayesian Networks

Mick McWilliams, Ph.D.
Senior Vice President, Marketing Science, Lieberman Research Worldwide
Using Bayesian Networks to Model Key Drivers

Christina Ray
Senior Managing Director for Market Intelligence, Omnis, Inc.
Author of Extreme Risk Management: Revolutionary Approaches to Evaluating and Measuring Risk
Intelligence Tradecraft and Bayesian Models

Michael Ryall, Ph.D.
Associate Professor of Strategy and Economics, Rotman Business School, University of Toronto, Canada
Author of Inference and Intervention: Causal Models for Business Analysis
When nodes think: using BayesiaLab to analyze decisions in game theoretic settings

Kurt Steffen, Ph.D.
Supervisor - Uncertainty Analysis, ExxonMobil Development Company
A Perspective on the Use of Bayesian Networks in the Upstream Oil and Gas Industry


Accommodation

Hotel accommodations are at the participants' own expense. However, negotiated room rates are available at Hotel Angeleno.

  • Hotel Angeleno
    
170 N. Church Lane
    Los Angeles, CA 90049

    Phone: 310-476-6411

    Fax: 310-472-1157
    
www.hotelangeleno.com

Click here to make a reservation at a discounted rate of $159/night.

Alternatively, you may call the hotel reservation line, +1 866-264-3536, and mention attendee code 1409BAYESI.


Venue & Location