Check out our latest paper from the AAAI '24 Proceedings, "Outlier Ranking for Large-Scale Public Health Data", which details the process we've used at @CMUDelphi for nearly a year to find important events in our large volumes of real-time data.
https://t.co/eR5RTEYEwb
Excited to share this excellent #postdoc opportunity! Collaborate with @dajmcdon at @StatsUBC and Carnegie Mellon’s Delphi Research Group on epidemic detection, tracking, and forecasting: https://t.co/wmSFUfSpZU
We are excited to join the Outbreak Analytics and Disease Modeling Network (https://t.co/iDUycicYS6) with our friends @reichlab@cmyeaton@JustinLessler and many more, and look forward to collaborating!
Big news! Delphi has been selected as a Center of Innovation in Outbreak Analytics and Disease Modeling by the Center for Forecasting and Outbreak Analytics at @CDCgov https://t.co/46IZUsBIKh
Exciting new #Rstats package epidatr from @CMUDelphi now available on CRAN! https://t.co/eE3fgeiEwo . Enables access to a large number of signals useful for epidemic tracking and forecasting.
Next up in the summer series from our Generative AI Innovation Incubator is a talk and AMA with Roni Rosenfeld, head of the @mldcmu and co-founder of the @CMUDelphi Research Group. Registration is free but space is limited, so reserve your spot now!
https://t.co/GIwz7ivkw1
Predicting COVID-19 case status from self-reported symptoms and behaviors using data from a massive online survey has been accepted to "Machine Learning & Global Health" workshop at @iclr_conf@CMUDelphi@mldcmu@CarnegieMellon
https://t.co/88fFMTBjle
Build the infrastructure needed for tracking and forecasting epidemics! @CMUDelphi (Delphi Group) is hiring a Backend Technical Lead!
Role: Backend Technical Lead
Location: Pittsburgh, PA
Apply now 👉 https://t.co/ZTDDqsgBEr
#TechForGood#DataJobs#JobAlert#Hiring
Delphi is hiring an executive director! https://t.co/j00jA9a1dM In addition to leading the Delphi group, the ED will help to oversee public health-related projects across @CarnegieMellon
We are hosting an amazing line-up of virtual research roundtables at ML4H, happening in parallel to the in-person roundtables! To attend, sign up for a virtual admission here: https://t.co/6YoS5CjCAV
A list of all virtual roundtables 🧵👇
.@TheGirlsofSteel have been valuable contributors to Delphi's work since 2020, helping to find bugs and monitor data quality on COVIDcast. Thanks, team!
Teamwork makes the dream work when it comes to @TheGirlsofSteel Robotics program based at @CarnegieMellon! This NEW @WQEDEDU #TeachableMoment reminds us of the importance of teamwork, not only in building a robot, but in our everyday lives. 🤖💪 https://t.co/f0HJC6vinz
Next up in our new faculty welcome series is Bryan Wilder, who joined @mldcmu this fall. His work exists at the intersection of optimization, social networks, and machine learning.
https://t.co/J1NHJ3hYoN
As of August 15, 2022, national forecasts predict 2,600–9,700 new #COVID19 hospitalizations will likely be reported on September 9. More: https://t.co/Xys80ZGlxV.
Had a great session at #SDSSconf talking about #dataviz and our experience designing the @CmuDelphi COVIDcast Dashboard 2.0. Slides to come! https://t.co/ouhHw8F72T