Statistical, Computational, Translational, and Ethical Challenges in Biobank Data Analysis (24w5292)


Hongyu Zhao (Yale University)

Lorin Crawford (Microsoft Research)

Alicia Martin (Massachusetts General Hospital & Broad Institute)

(University of Toronto)

(Lady Davis Institute for Medical Research)


The Banff International Research Station will host the “Statistical, Computational, Translational, and Ethical Challenges in Biobank Data Analysis” workshop in Banff from July 21 - 26, 2024.

Recent years have seen the establishments of many biobanks at national, regional, and local levels, some with hundreds of thousands of participants. Rich information is being collected from the participants, including electronic health records, diverse types of -omics data, imaging data, wearable device data, and behavioral and lifestyle information. These biobanks have already led to many scientific discoveries and offered valuable information to improve patient care and public health. However, the biobank data also present great computational, statistical, informatics, and ethical challenges that have not been well addressed. The objective of this workshop is to bring together international leaders in diverse disciplines including mathematical, statistical, computational, biological and medical fields in a collaborative atmosphere to tackle the great challenges in biobank studies.

The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada’s Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta’s Advanced Education and Technology, and Mexico’s Consejo Nacional de Ciencia y Tecnología (CONACYT).