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Presented By: Michigan Lifestage Environmental Exposures and Disease Center

Statistics and machine learning for studying air pollution using low-cost sensors (Environmental Statistics Day Symposium)

Keynote lecture provided by Abhi Datta, PhD from the Johns Hopkins Bloomberg School of Public Health

Feb 20 Environmental Statistics Day, Keynote lecture: Statistics and machine learning for studying air pollution using low-cost sensors, featuring Professor Abhi Datta, Department of Biostatistics Johns Hopkins Bloomberg School of Public Health. Feb 20 Environmental Statistics Day, Keynote lecture: Statistics and machine learning for studying air pollution using low-cost sensors, featuring Professor Abhi Datta, Department of Biostatistics Johns Hopkins Bloomberg School of Public Health.
Feb 20 Environmental Statistics Day, Keynote lecture: Statistics and machine learning for studying air pollution using low-cost sensors, featuring Professor Abhi Datta, Department of Biostatistics Johns Hopkins Bloomberg School of Public Health.
Symposium Schedule
All events taking place in the School of Public Health (1415 Washington Heights)

11:00 am -12:00 pm
Keynote Lecture
1655 SPH 1

12:00-1:30 pm
Posters and Lunch
1680 SPH 1 (Cornely Community Room)

1:30-2:30 pm
Lightning Talks and Q&A
1680 SPH 1 (Cornely Community Room)

2:45 pm
Awards
Best Oral Presentation and Best Poster
Feb 20 Environmental Statistics Day, Keynote lecture: Statistics and machine learning for studying air pollution using low-cost sensors, featuring Professor Abhi Datta, Department of Biostatistics Johns Hopkins Bloomberg School of Public Health. Feb 20 Environmental Statistics Day, Keynote lecture: Statistics and machine learning for studying air pollution using low-cost sensors, featuring Professor Abhi Datta, Department of Biostatistics Johns Hopkins Bloomberg School of Public Health.
Feb 20 Environmental Statistics Day, Keynote lecture: Statistics and machine learning for studying air pollution using low-cost sensors, featuring Professor Abhi Datta, Department of Biostatistics Johns Hopkins Bloomberg School of Public Health.

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