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February 25, 2020
10:20AM - 11:15AM
Location
MBI Auditorium, Jennings Hall 355
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2020-02-25 11:20:00
2020-02-25 12:15:00
Seminar: Jeff Gaither - Machine Learning in Genomics: Using Models and Not-Models to Explain Genetic Disorders
Jeff Gaither
Nationwide Children's Hospital
A central problem in genomics is how to determine whether a particular mutation will be harmful to humans. In this task traditional mathematical modeling has proven less successful than machine learning, which pragmatically tries to make predictions without regard for biological reasonableness or model elegance. In this talk I'll discuss my transition from applied mathematics to data science, and how I've used machine learning to help pinpoint the causes of genetic disease.
This talk is free and open to the public.
MBI Auditorium, Jennings Hall 355
OSU ASC Drupal 8
ascwebservices@osu.edu
America/New_York
public
Date Range
Add to Calendar
2020-02-25 10:20:00
2020-02-25 11:15:00
Seminar: Jeff Gaither - Machine Learning in Genomics: Using Models and Not-Models to Explain Genetic Disorders
Jeff Gaither
Nationwide Children's Hospital
A central problem in genomics is how to determine whether a particular mutation will be harmful to humans. In this task traditional mathematical modeling has proven less successful than machine learning, which pragmatically tries to make predictions without regard for biological reasonableness or model elegance. In this talk I'll discuss my transition from applied mathematics to data science, and how I've used machine learning to help pinpoint the causes of genetic disease.
This talk is free and open to the public.
MBI Auditorium, Jennings Hall 355
Mathematical Biosciences Institute
mbi-webmaster@osu.edu
America/New_York
public
Description
Jeff Gaither
Nationwide Children's Hospital
A central problem in genomics is how to determine whether a particular mutation will be harmful to humans. In this task traditional mathematical modeling has proven less successful than machine learning, which pragmatically tries to make predictions without regard for biological reasonableness or model elegance. In this talk I'll discuss my transition from applied mathematics to data science, and how I've used machine learning to help pinpoint the causes of genetic disease.
This talk is free and open to the public.
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