Roni Rosenfeld

Affiliated Faculty; Department Head, Machine Learning Department; Professor

Office 8002 Gates & Hillman Centers

Email roni@cs.cmu.edu

Phone (412) 268-7678

Department
SCS Dean's Office
Machine Learning Department

Website
http://www.cs.cmu.edu/~roni

Research Interests
Artificial Intelligence

Research Statement

Research Area: Epidemic Forecasting

Work Description: Our group's vision is to make epidemiological forecasting as universally accepted and useful as weather forecasting is today. We develop both machine learning and human-in-the-loop techniques for real-time estimation of geographically detailed epidemic prevalence from diverse data sources, and for forecasting the trajectory of these epidemics across time and space. Our group won most epidemic forecasting competitions run by the CDC to date, and was recently designated a National Center of Excellence for Flu Forecasting.

Recent Publications

Roni Rosenfeld ( 2022 ) AMERICAN JOURNAL OF PUBLIC HEALTH, Collaborative Hubs: Making the Most of Predictive Epidemic Modeling , Vol.: 112 Issue: ( 6 ) , Page(s): 839- 842 .

Roni Rosenfeld ( 2021 ) PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Epidemic tracking and forecasting: Lessons learned from a tumultuous year , Vol.: 118 Issue: ( 51 )

Roni Rosenfeld ( 2021 ) PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination , Vol.: 118 Issue: ( 51 )

Roni Rosenfeld ( 2020 ) JOURNAL OF BIOMEDICAL INFORMATICS, Active deep learning to detect demographic traits in free-form clinical notes , Vol.: 107

Roni Rosenfeld ( 2019 ) PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States , Vol.: 116 Issue: ( 8 ) , Page(s): 3146- 3154 .