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Numerical Optimization of a Data Forecasting Model

May 24

Free

Session Time and Date

Wednesday, May 24th from 1pm – 2pm CDT

 

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Presentation Description

Data can be a powerful tool for driving change.  Data science tools can be used to give a statistical basis and robust credibility to a problem that at first glance may seem to be only described by tribal knowledge.  In this talk, we will discuss how best to utilize data to describe the current environment and lend a historical context to goal setting and forecasting exercises.  Moreover, we will describe how to incorporate a database model into a framework that will illustrate possible outcomes and demonstrate optimal selection of the variables needed to make meaningful change.  The techniques described will be demonstrated for the problem of underrepresentation of women in the STEM fields.

Other

Primary Speaker First Name
Genetha
Primary Speaker Last Name
Gray
Primary Speaker Bio
Dr. Genetha Anne Gray is an analytics research scientist at Intel Corporation where she works on the design and development of machine learning algorithms and analytics capabilities for autonomous vehicles. Previously, she was part of the Talent Intelligence & Analytics organization where she analyzed talent supply chains, studied career progression, and modeled the changing representation of women in the workforce. While at Intel, Genetha has also explored how to apply her data science skills to combat the issue of human trafficking and assist the National Center for Missing & Exploited Children. Before joining Intel in 2014, Genetha spent 12 years as a member of the technical staff at Sandia National Labs in Livermore, CA. There, she has worked on problems related to the electrical and mechanical engineering of systems, the storage of nuclear waste, groundwater remediation, cyber security, and energy including renewables integration and grid operations. She has a Ph.D. in Computational & Applied Mathematics from Rice University and specializes in analytics techniques for decision-making under uncertainty including optimization, data fusion techniques, model validation, and uncertainty quantification. She has co-authored more than 25 research publications, given more than 50 presentations at conferences and at universities, and is active within INFORMS and many of the NSF-funded mathematical research institutes. Genetha and her father, William Gray, are co-authors of a recently released textbook on environmental modeling.
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