REGISTER: Environmental Statistics Day Symposium

JavaScript isn't enabled in your browser, so this file can't be opened. Enable and reload.

REGISTER: Environmental Statistics Day Symposium | March 18, 2024 (Monday)

Location: University of Michigan School of Pubic Health | 1415 Washington Heights | Ann Arbor, MI 48109 | Registration (free) required. https://mleead.umich.edu/Events.php

SYMPOSIUM SCHEDULE

10:30-10:40 am | Refreshments (Cornely Community Room, 1680 SPH 1)

10:40-11:40 am | Keynote: Automating Machine Learning for the Environmental Health Sciences presented by Jason Moore, PhD. Chair, Department of Computational Biomedicine; Director, Center for Artificial Intelligence Research & Education; Professor of Computational Biomedicine, and AI in Medicine; Cedars-Sinai Medical Center, Los Angeles, CA. (Lane Auditorium, 1690 SPH 1)

1:00-2:30 pm | Michigan Perspectives: Connecting Artificial Intelligence Techniques to Environmental Health Science Research (1655 SPH 1)

Zhenke Wu, PhD (Associate Professor, Biostatistics) What Can Artificial Intelligence Offer for Environmental Health Sciences?
Liyue Shen, PhD (Assistant Professor, Electrical Engineering & Computer Science) Prior-Informed Artificial Intelligence for Medical Imaging
Qing Qu, PhD (Assistant Professor, Electrical Engineering & Computer Science) Exploring Low-Dimensionality for More Robust, Efficient, and Explainable Artificial Intelligence

Who should attend? Researchers and trainees interested in the latest developments of computational methods enhanced by Artificial Intelligence as it relates to environmental health sciences.

Goals: Discuss research collaborations on Artificial Intelligence techniques applied to Environmental Health Research.

*Due to space limitations, lunch is limited to the first 50 registrants.

Sponsored by the University of Michigan Center on Lifestage Environmental Exposures and Disease (M-LEEaD)

Email *

Untitled Title

Name *

University of Michigan Affiliation

M-LEEaD Member

SPH Faculty

SPH Staff

SPH Student

U of M Other

Not affilated with U of M (please add info in the "comment" box below)

Other:

I will attend the KEYNOTE address (10:40 - 11:40 am)

YES

Clear selection

I will attend the MICHIGAN PERSPECTIVES panel (1:00 - 2:30 pm)

YES

Clear selection

Do you have any access needs or other accommodation requests that you would like the event organizers to be aware of?

Any other comments for the event organizers?

Submit

Clear form

Never submit passwords through Google Forms.

This form was created inside of University of Michigan. Report Abuse

Forms