papers
Publications (3)
stat.AP2022
Chimeric forecasting: combining probabilistic predictions from computational models and human judgment
Thomas McAndrew, Allison Codi, Juan Cambeiro +5
Forecasts of the trajectory of an infectious agent can help guide public health decision making. A traditional approach to forecasting fits a computational model to structured data…
physics.ins-det2018
Deep learning enables high-throughput analysis of particle-aggregation-based bio-sensors imaged using holography
Yichen Wu, Aniruddha Ray, Qingshan Wei +5
Aggregation-based assays, using micro- and nano-particles have been widely accepted as an efficient and cost-effective bio-sensing tool, particularly in microbiology, where particl…
stat.AP2022
Aggregating human judgment probabilistic predictions of COVID-19 transmission, burden, and preventative measures
Allison Codi, Damon Luk, David Braun +6
Aggregated human judgment forecasts for COVID-19 targets of public health importance are accurate, often outperforming computational models. Our work shows aggregated human judgmen…