2022 Workshop Agenda
Location: New Orleans, LAFriday, December 2, 2022 (all times in CST)
| 09:00 - 09:15 | Opening remarks from the organizers |
| 09:15 - 09:45 | Invited talk: Yan Liu, Interpretability and Fairness of Deep Learning Models on Health Dataset |
| 9:45 - 10:15 | Invited Talk: Stephanie Hyland, Machine learning for intensive and perioperative care |
| 10:15 - 10:30 | Coffee Break |
| 10:30 - 11:00 | Invited Talk: Danielle Belgrave |
| 11:00 - 11:30 | Contributed talks for poster session 1 |
| 11:30 - 12:30 | Coffee break and poster session 1 |
| 12:30 - 01:30 | Mentorship lunch break |
| 01:30 - 02:00 | Invited Talk: Emily Fox, AI-driven remote monitoring for type 1 diabetes |
| 02:00 - 02:30 | Invited Talk: David Sontag, Modeling multivariate time series of disease progression |
| 02:30 - 03:00 | Contributed talks for poster session 2 |
| 03:00 - 04:00 | Coffee break and poster session 2 |
| 04:00 - 05:00 | Panel discussion on “Challenges and lessons learned in deploying ML time series models” |
| 05:00 - 05:10 | Closing Remarks |