The Women in Data Science (WiDS) Worldwide Conference, is a technical conference featuring outstanding women doing exceptional work in data science and related fields, in a wide variety of domains. Everyone is welcome and encouraged to attend. The conference was a hybrid event, happening in person at Stanford University and online.
Professor, Department of Human Centered Design & Engineering, University of Washington
Assistant Professor, University of California, Los Angeles
Senior Staff Applied Research Scientist - Tech Lead Inclusive AI at Pinterest
Statistician, HRDAG (Human Rights Data Analysis Group)
Co-Founder, WiDS Worldwide
Director of Research, The Distributed AI Research Institute (DAIR)
Associate Professor, Stanford University
VP, Chief of AI+Data Operations, Intuit
Corporate President, Microsoft
Director of Data Science, Stanford University
Quality Engineering Manager, MathWorks
Technical Lead - Health Data Science, WHOOP
Principal Technical Fellow, Raytheon Technologies
Former Co-Director of WiDS
Data Storytelling and Presentation Instructor Host of “The Art of Communicating Data” Show
Executive Director External Partners, Stanford University, ICME
Senior Software Engineer, MathWorks
WiDS Datathon Initiative Director, Research Associate, Harvard University
General Support Global Lead, Media Operations, Facebook
Associate Professor, Stanford
Professor, Stanford University
Head Of Research, Tableau,
Consulting Application Engineer, MathWorks
Autonomy Engineer, Skydio
Application Engineering Senior Team Lead, MathWorks
Executive Director at Society for Industrial and Applied Mathematics (SIAM)
Chief of Rheumatology, Zuckerberg San Francisco General Hospital
Director for Building Technology, White House Council on Environmental Quality
Research Scientist, Lawrence Berkeley National Laboratory
Google Fellow, Google
Associate Director- Industry Relations & Initiatives, Sri Vishnu Educational Society
Professor and Researcher at Universidad del Pacifico
Statistics and Data Science Professor at Yokohama City University
Founder & CEO, AULA MAGNA Business School
Head of Data Science, AI/ML at Getty Images,
CEO, YouTube
TOPICS: Data Science as a Career , Foundations (Mathematics/Statistics) , Values
TOPICS: Algorithms , Data Science as a Career , Values
TOPICS: Algorithms , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics) , Values
TOPICS: Data Generation/Collection , Foundations (Mathematics/Statistics) , Values
TOPICS: Data Generation/Collection
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics) , Values
TOPICS: Algorithms , Values
TOPICS: Algorithms , Data Wrangling , Values
TOPICS: Algorithms , Data Generation/Collection , Data Wrangling , Foundations (Mathematics/Statistics) , Values
TOPICS: Algorithms , Values
TOPICS: Algorithms , Foundations (Mathematics/Statistics) , Values
TOPICS: Algorithms , Foundations (Mathematics/Statistics)
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics) , Hardware
TOPICS: Algorithms , Data Science as a Career , Values
TOPICS: Algorithms , Data Generation/Collection , Hardware
TOPICS: Algorithms
TOPICS: Algorithms , Values
TOPICS: Algorithms , Data Science as a Career
TOPICS: Algorithms , Data Generation/Collection , Values
TOPICS: Data Science as a Career , Software Design and Engineering
TOPICS: Data Generation/Collection , Data Science as a Career , Values
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics) , Hardware , Values
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Values
TOPICS: Algorithms , Data Science as a Career , Foundations (Mathematics/Statistics)
Livestream Link
Youtube Playlist
