9:00
Joceline Lega
Preparing for the Aedes Challenge
9:30
Brian Bell
Uncertainty in Image Classification via Neural Networks
9:45
Sam McLaren
Microscopic modeling of ultrafast lasers
10:00
Tracy Stepien
Using a continuum model to decipher the mechanics of embryonic tissue spreading from time-lapse image sequences: An approximate Bayesian computation approach
10:30
Coffee break
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10:45
Hoshin Gupta
Some Thoughts on Bridging Machine Learning and Physics:
Drawing from Data Analytics, Systems Theory & Information Theory
11:15
Nick Henscheid
Optimizing chemotherapy schedules under uncertainty
11:45
Brooklyn Pizza Company
Pizza ...
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Posters by Kyle Gwirtz, Travis Harty and Spence Lunderman
... and Posters
1:00
Keynote
2:00
Tin Phan (ASU)
The identifiability of prostate cancer models
2:15
Penny Wu (ASU)
Uncertainty quantification for prostate cancer models
2:30
Colin Clark
A Semi-Markov Model for Mass Transport through Highly Heterogeneous Conductivity Fields
2:45
Break
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3:00
Steffen Eikenberry (ASU)
Uncertainty in future malaria potential across Africa: Dual threats of insecticide resistance and climate change
3:30
Hannah Biegel
Forecasting Seasonal Influenza
3:45
E. Kostelich, M. Morzfeld
Wrap up and discussion