Welcome to the Lab Page of Rumi Chunara, Assistant Professor at New York University.
The overarching goal of our research is to develop the principles needed to incorporate unstructured, personally-generated data into a better understanding of population-level health. We primarily develop computational methods across data mining, natural language processing, and machine learning to generate features for spatio-temporal population-level public health models.
*We continue our exploration of the need for community-sourced data in public health in our new paper on Etiology of respiratory tract infections in the community and clinic in Ilorin, Nigeria accepted (BMC Research Notes) 12/2017
*Our group selected as one of the Phase-I winners of the Healthy Behavior Data Challenge, a partnership between the Government of Canada, the Centers for Disease Control and Prevention and MaRS Discovery District 11/2017
*New paper on Using Sparse Digital Traces to Fill in Individual Level Mobility Timelines available on arxiv 10/2017.
*New paper on High-resolution Temporal Representations of Alcohol and Tobacco Behaviors from Social Media Data accepted for ACM CSCW 2018. Congrats Tom, Kunal and Anas!
*New NSF grant: Algorithms and Data for High-Frequency, Real-Time Anomaly Detection, with Dr. McCormick‘s group from UW! Awarded 08/2017
*Prof. Chunara invited speaker for the plenary session “Global public health threats in the 21st century” at the 15th Conference of the International Society of Travel Medicine. 05/2017
*Prof. Chunara gave an invited talk at The Center for Research and Interdisciplinarity – CRI. 03/2017
*Prof. Chunara invited keynote speaker at Joint Workshop on Health Intelligence at AAAI 2017. 02/2017
*Prof. Chunara invited attendee of CCC Discovery and Innovation in Smart and Pervasive Health Workshop. 12/2016
*Paper on “Denominator Issues for Personally-Generated Data in Population Health Monitoring” accepted (American Journal of Preventative Medicine). 10/2016
*Bisakha Ray’s work on “Predicting Acute Respiratory Infections from Participatory Data” accepted for an Oral Presentation at the 2016 International Society for Disease Surveillance conference 12/2016. Second Prize Award for Outstanding Student Abstract.
Watch the below video to learn about our research mission:
*Prof. Chunara to give an invited talk at the Federation of American Scientists 70th anniversary symposium in Washington DC 09/28/16
*New paper on Assessing Behavioral Stages From Social Media Data accepted for ACM CSCW 2017. Congratulations Jason!
*New paper on Network Inference from Multimodal data: A Review of Approaches from Infectious Disease Transmission (Journal of Biomedical Informatics). Congratulations Bisakha! 09/2016
*New NSF grant on Combining Community and Clinical Data for Augmenting Influenza Modeling with Dr. Shaman‘s group from Columbia! Awarded 09/2016
*Prof. Chunara to give an invited talk at Personalized Health in the Digital Age symposium at Campus Biotech in Switzerland September 2016
*Prof. Chunara to give an invited talk at CCS ’16 workshop on Digital Epidemiology and Surveillance September 2016
*Chunaralab undergrad researcher William Herrera accepted to the prestigious NIH Summer Internship Program in Biomedical Research.
*Nabeel Rehman will present his work on Using Propensity Score Matching to Understand the Relationship Between Online Health Information Sources and Vaccination Sentiment at the AAAI Spring Symposium at Stanford University in March 2016.
*Prof. Chunara was an invited speaker at a panel on Web-Based Public Health Informatics at IEEE BHI ’16 in February 2016.
*Bisakha Ray presented her work on Integrating Genomic Data in a Community-based Multi-modal Viral Transmission Model for Network Inference at the NIPS Workshop on ML for Healthcare in Montreal, December 2015.