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Announcing WiDS Stanford 2023 Speakers

11/15/2022

 
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The 8th Annual Women in Data Science (WiDS) Stanford conference will be held in-person at Stanford University and on livestream on March 8, 2023. WiDS Stanford is a technical conference featuring amazing women doing outstanding work in data science and related fields. This year’s conference will feature keynote addresses, technical talks, panel discussions, and time for networking. ​
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.
Join Us

​Registration for WiDS Stanford is now open
. We look forward to welcoming you to Stanford University to celebrate International Women’s Day 2023.

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  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Research
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conferences
    • WiDS Regional Events 2023
    • WiDS Stanford 2023 Online
    • WiDS Stanford 2023 Agenda
    • WiDS Stanford 2023 Speakers
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2023
      • WiDS 2022
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
  • Datathon
    • Datathon Details
    • Datathon Resources >
      • Datathon Press Release
    • WiDS Datathon Workshops 2023
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Next Gen >
      • Next Gen Resources
      • Next Gen Committee