Predicting the Unobserved: Integrating ‘Something Else’ Sexual Identity Responses in Health Disparity Studies Using Machine Learning and Resampling Techniques

When and Where

Friday, October 11, 2024 12:00 pm to 1:00 pm

Speakers

Rona Fang-Yu Hu

Description

The Toronto Data Workshop brings together academia and industry to share data science and AI best practice. We are broadly interested, but especially in the code- and data-centric aspects of a project that are often glossed over. We meet weekly for an hour and most talks are recorded.

Please join the event. Everyone is welcome—it is free and you do not need to be affiliated with the university.

About Rona Fang-Yu Hu

Rona Hu is a second-year Master’s student in the Michigan Program in Survey and Data Science. She graduated from National Chengchi University with a B.S. in Psychology. Before coming to the United States for her graduate studies, she was a Research Associate and Chief Operating Officer at Quanthon Corporation in Taiwan. She has presented papers at the conference of the American Association of Public Opinion Research and the Joint Statistical Meetings since 2022.

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