I'm Speaking
A thought leader in broadening participation in data science, Brandeis shares her approaches to effectively amplify social contexts within data and its implications for all communities. She shines a light from the inside of tech’s gaps and works diligently to fill those gaps.
Data+AI ethics | Data education | Data equity practice | Data talent development
Past Speaking Engagements
 The HBS Digital Initiative & HBS Gender Initiative present: Just Digital Future Summit |  AIandYou - Community Conversations with Eva Longoria and Dr. Brandeis Marshall |  BlackinData: Bias in AI webinar moderated by Simone Webb, panelists: Alise Otilia Ramirez and Dr. Brandeis Marshall |  HBS DI/GI Initiative: Interview |
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 IIIA: Racial Equity in Analytics webinar |  Dataiku's Closing the Data Science Talent Gap in an Equitable Way |  [audio] Experian Podcast Interview: Data Modeling: How to Get the Most From Your Data |  Spatial Computing: Ethics |
 From Us, To Us: An Inclusivity Architecture |  [audio] Questioning Data Work |  [audio] #causeascene podcast hosted by Kim Crayton: Dr. Brandeis Marshall interview |  [audio] DataFramed Podcast Interview |
 [audio] Crime: Jaw & Order |
Testimonials
Tracey Perez Koehlmoos, PhD, MHA, Uniformed Services University of the Health Sciences
Thank you for making a wonderfully informative day. It was exactly what we had envisioned when we started down the planning pathway. Looking forward to working on the conference report.
Janet Torres, D-Lab, University of California, Berkeley
Thank you for sending additional resources for us to consider as we move forward with this project.They are very relevant; we were looking for articles specifically on these topics.
Landi Spearman,
Founder, Landi & Co.
Brandeis Marshall did a phenomenal job of aligning our interests and superpowers to develop the skills we need as #datascientists. #datastorytelling is my 🦸🏽♀️using data, graphs and reports to share facts and create visualization models to tell the whole story representing a #diversity of perspective.