We’re delighted to announce some of our distinguished speakers addressing topics ranging from dark matter to data journalism to data sovereignty, and more. They include:
Maria Elena Monzani, Lead Scientist, SLAC National Accelerator Lab
Maria Elena leads the software computing effort for the LZ Dark Matter Experiment and the Science Operations Team for the Fermi satellite. She received her PhD from University of Milano and University of Paris 7.
Gayatree Ganu, VP, Data Science, Meta
Gayatree leads Facebook's data science team working on creators and public content, monetization, and integrity. She brings a combination of strong technical expertise (in machine learning, ranking) and excellent product leadership and has worked on strong algorithmic areas of search, ads delivery and auction, and recommendation systems. Gayatree is passionate about building the best data-driven products for Meta users and building and scaling effective data science teams.
Trina Reynolds-Tyler, Director of Data, Invisible Institute
Trina co-founded the Chicago Chapter of Data 4 Black Lives, and is an organizer with BYP100 and the Black Abolitionist Network. Before receiving her Master’s of Public Policy from the University of Chicago, she worked closely with the Citizens Police Data Project and the Youth / Police Project.
Desi Small-Rodriquez, Assistant Professor, Sociology and American Indian Studies, UCLA
Desi applies critical quantitative and mixed methods to research at the intersection of race, indigeneity, data, and inequality. She specializes in survey research in partnership with Indigenous communities and other marginalized populations, grounding her research in the following disciplinary lenses: Indigenous studies, sociology of race and ethnicity, political sociology, sociology of knowledge, critical demography, health policy research, and science and technology studies. Desi directs the Data Warriors Lab, an Indigenous social science laboratory that connects researchers, students, and Indigenous communities to build data that support strong self-determined Indigenous futures. Her research model is grounded in the principles of Indigenous Data Sovereignty and Governance and her work is driven by Indigenous communities (reservation, urban, and rural) and their pursuit of robust and meaningful data systems, policies, and practices.
Keep checking back, as we will be announcing more speakers in the coming weeks.
Registration for WiDS Stanford is now open. We look forward to welcoming you to Stanford University to celebrate International Women’s Day 2023.