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Third Short Course on Mathematical Sciences in Obesity Research

On-line Registration:    Closed   
Held On:    Mon 6/13/2016 - Fri 6/17/2016   
Location:    
UAB School of Public Health
1665 University Boulevard, 1st Floor, room RPHB 107
Birmingham AL 35233
Lodging Options:
(within walking distance)
    Doubletree by Hilton Hotel Birmingham
808 South 20th Street
Birmingham, AL  35205
(205) 933-9000

Residence Inn Birmingham
821 20th St S
Birmingham, AL 35205-2713
(205) 731-9595

Organizing Committee:   
people/dallison
David Allison, PhD
University of Alabama at Birmingham      Kristi Crowe, PhD, RD, LD Diana Thomas, Ph.D.
Montclair State University     

  • Overview & Agenda
  • Speakers
  • Contact

Overview

The mathematical sciences including engineering, statistics, computer science, physics, econometrics, psychometrics, epidemiology, and mathematics qua mathematics are increasingly being applied to advance our understanding of the causes, consequences, and alleviation of obesity. These applications do not merely involve routine well-established approaches easily implemented in widely available commercial software. Rather, they increasingly involve computationally demanding tasks, use and in some cases development of novel analytic methods and software, new derivations, computer simulations, and unprecedented interdigitation of two or more existing techniques. Such advances at the interface of the mathematical sciences and obesity research require bilateral training and exposure for investigators in both disciplines. This course on the mathematical sciences in obesity research features some of the world’s finest scientists working in this domain to fill this unmet need by providing nine topic driven modules designed to bridge the disciplines.

The goal of our proposed short course is to 1) expose researchers from the mathematical sciences and obesity to the language and methodology at the interface of both disciplines 2) facilitate collaborations between the two groups through effective contact and 3) to guide early investigators interested in conducting research at the interface of the mathematical sciences in obesity on the next career step.

Schedule of Events: [ PDF file]

††Roundtable session will be used to develop projects through activities such as preparing and abstract or specific aims page    Module identification color codes   
Introduction to math method   
Application of method to obesity   
Hands-on interactive session   
Open problems†   

Time    Speaker    Topic    Video   
Day 1 - Monday 6/13/2016   
8:00 - 8:30    Diana Thomas, Montclair    Registration     
8:30 - 9:30    David Allison & Andrew Brown, UAB    Introductory remarks:  A Comedy of Errors    video    
9:30 – 10:30    Steven Heymsfield, PBRC    Overview of state of the field of obesity and mathematical sciences    video    
10:30 - 11:30    David Allison, UAB    Overview of funding approach at NIH and other federal granting agencies    video    
11:30 - 12:45    Lunch   
Module 1: Outcomes in Obesity Randomized Controlled Trials (RCTs)   
1:00 - 1:45    Inmaculada (ChiChi) Aban, UAB    Introduction to RCTs and their quantitative analysis     
2:00 - 2:45    Peng Li, UAB    Missing data in randomized clinical trials    video    
3:00 - 4:00    Michael Oakes, U of Minnesota    Cluster Randomized Trials    video    
4:00 - 5:30    Moderated by Senior Researchers    Roundtable Session††     
Day 2 - Tuesday 6/14/2016   
Module 2: Modeling weight change using energy balance   
9:00 - 9:45    Diana Thomas, Montclair    Introduction to Energy Balance Models    video    
10:00 - 10:45    Ashuwin Vaidya, Montclair    Applications of Energy Balance and Thermodynamic Approaches    video    
11:00 - 11:30    Corby Martin, PBRC    Models delivered using smart phone technology    video    
11:30 - 12:45    Lunch   
Module 3: Modeling Effects in Populations   
1:00 - 1:45    Stephen Mennemeyer PhD, UAB    Using Simulation to Estimate Economic Effects: Examples from Cost-Effectiveness of Obesity Programs    video    
2:00 - 2:45    Bisakha Sen, PhD, UAB    Instrumental Variable Approaches: Potential Applications in Obesity    video    
3:00 - 4:00    Susan Chen, PhD, University of Alabama    Population Level Effects of Energy Balance Manipulations    video    
4:00 - 5:30    Moderated by Senior Researchers    Roundtable Session††     
Day 3 - Wednesday 6/15/2016   
Module 4: Modeling Pharmacological Interventions   
9:00 - 9:45    Clay Thompson, Pfizer    Perspectives on a Quantitative Systems Pharmacology Approach to Support Obesity Drug Discovery and Development     
10:00 - 10:45    Mirjam Trame, UFL    Modeling energy deficits in pharmacological interventions     
11:00 - 11:45    Tawanda Gumbo    Open problems    video    
12:00 - 1:00    Lunch   
Module 5: Modeling Behaviorial Responses in Obesity   
1:00 - 1:45    Graham Thomas, Brown University    Application of Models to Monitor Adherence    video    
2:00 - 2:45    Douglas Gunzler, MetroHealth    Structural Equation Modeling in Obesity    video    
2:45 - 3:45    Paula-Chandler Laney, UAB    Open Problems     
4:00 - 5:30    Moderated by Senior Researchers    Roundtable Session††     
Day 4 - Thursday 6/16/2016   
Module 6: Sensor and Engineering Models in Obesity   
9:00 - 9:30    Edward Sazonov, Alabama, Tuscaloosa    Sensor Models in Obesity Research    video    
9:30 - 10:30    Adam Hoover, Clemson University    Bite measurement methods and models     
10:30 - 11:30    Ken McLeod, Binghamton    Regulating RMR to Maintain Heat Balance and Body Mass    video    
11:30 - 12:45    Lunch   
Module 7: Scaling Laws and Obesity   
1:00-1:45    Courtney Peterson, PBRC    Overview of Scaling    video    
2:00-2:45    David Nelson, Univ S Alabama    Allometric Scaling & Whole-Animal Energy Balances    video    
3:00 - 4:00    Steven Heymsfield, PBRC    Open Problems    video    
4:15 - 5:30    Moderated by Senior Researchers    Roundtable Session††
Preparation for student presentations     
Day 5 - Friday 6/17/2016   
Module 8: Statistical Modeling in Genetics   
9:00 - 9:45    Hemant Tiwari, UAB    Genetic Models in Obesity: Classic & Modern    video    
9:45 - 10:45    Nengjun Yi, UAB    Bayesian Hierarchical Models - Application to Genomics and Epidemiology    video    
11:00 - 12:00    Xiangqin Cui, UAB    Methods and Concepts of Multiple Testing in High-Dimensional Research    video    
12:00 - 1:00    Lunch   
1:00 - 1:45    Student Presentations     
2:00 - 2:45     
3:00 - 3:30     
3:30 - 4:00     
4:15 - 5:30     

At the end of each day of the five-day short course we will ask participants to gather in small groups led by a senior researcher from our pool of lecturers for a period of 90 min. Groups will be developed based on individual participant goals. For example, some participants may feel comfortable developing a specific aims page for an NIH K25, R03, K01, R01 or joint NSF/NIGMS Biological and Mathematical Sciences program. Others may want to collaborate across disciplines and set a second small group meeting through NIMBioS. We will provide a list of suggested activities while remaining open and flexible to the participant needs.

These options and what they will entail will be described on the first day of the short course by either the PI or co-PI. Some participants may decide to switch which round-table they are working with on the second or third day. On the fourth day, a moderator directed self-selected group of 10 participants will be chosen to present their work on the afternoon of the last day.

Contact Information:

Logistics: Richard Sarver
UAB SOPH Dean's office
Office of Energetics & Nutrition Obesity Research Center
1700 University Boulevard, LHL 434
Birmingham AL 35294-0013
Phone: (205) 975-9169
Email: rsarver@uab.edu

We would like to thank our sponsors for their support: National Institutes of Health & Office of Energetics

Funded by

NIH Disclaimer:
This material is based upon work supported by the National Institutes of Health under Grant No. ( R25DK099080-01). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Institutes of Health.

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