data science

Date: Wednesday, January 26th, 2022

Length: 60 minutes

Instructors: Laura Corlin, PhD

Learning Level: Fundamental

Primary Audience: PIs, Research coordinators, Postdoctoral researchers, Graduate students, Other study team members

Prerequisite: None

Skills Domain: Data Management and Informatics, Scientific Concepts and Research Design

 

The January seminar of the Center for Quantitative Methods and Data Sciences (QM&DS), in partnership with the Biostatistics, Epidemiology and Research Design (BERD) Center at Tufts CTSI and the Data-Intensive Studies Center (DISC) at Tufts University, will occur on Wednesday, January 26, 2-3:30pm via Zoom. The topic of this month's webinar is "Methods to Handle Mixtures of (Environmental) Exposures in Health Analyses."

Traditionally, (environmental) epidemiology has focused on individual exposure-outcome relationships. However, many (environmental) exposures co-occur. How do we identify which of these often highly correlated exposures most affect health outcomes? Are certain combinations or mixtures important? The methods to answer these types of questions have been rapidly evolving. In this talk, Dr. Corlin discusses several major approaches in an environmental health context.

Dr. Laura Corlin is an Assistant Professor in Public Health and Community Medicine. She earned her MS and PhD in Environmental Health through the Tufts School of Engineering in the Department of Civil and Environmental Engineering. She completed a post-doctoral fellowship in Cardiovascular Epidemiology at the Boston University School of Medicine. Her research focuses on developing and applying new methods to assess the health effects of environmental mixtures in observational studies. Through her exposure assessment and environmental epidemiology research, Dr. Corlin seeks to mitigate environmental health disparities. Dr. Corlin also enjoys working with students in and out of the classroom.

Dates: Wednesday December 9th 12pm-1:00pm  
Location: Zoom  

 

 This Course is Free