February 25, 2020
10:20AM
-
11:15AM
MBI Auditorium, Jennings Hall 355
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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
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ascwebservices@osu.edu
America/New_York
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Date Range
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
America/New_York
public
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.
