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