WiDS Stanford Conference 2015
Join Us
The inaugural Women in Data Science (WiDS) Conference was held at Stanford University with 400+ attendees online and 6,000 + on the livestream.
Speakers
Margot Gerritsen, WiDS Worldwide, Stanford University
Co-Founder, WiDS Worldwide
Persis Drell
Provost of Stanford University
Caitlin Smallwood
VP, Data Science & Engineering, Search & Assistant, Google
Kelly Thompson
Senior VP at Walmart eCommerce
Jennifer Chayes
Associate Provost and Dean, University of California, Berkeley
Diane Bryant
Chairman and CEO, NovaSignal
Lise Getoor
Professor, University of Maryland Institute for Advanced Computer Studies
Irene Ros
Staff Software Engineer / Tech Lead, Google
Helena Deus
Biomedical Semantics Lead, Manager, ZS
Montse Medina
Jetlore
Monica Rogati
Equity Partner, Data Collective
Susan Athey
Professor, Stanford Graduate School of Business
Bin Yu
Chancellor's Distinguished Professor, Class of 1936 Second Chair, Statistics, EECS, CCB, UC Berkeley
Carrie Grimes Bostock
Engineering Fellow, Google
Jennifer Tour Chayes
Director, Microsoft Research
Aleksandra Korolova
Assistant Professor of Computer Science and Public Affairs at Princeton
Shubha Nabar
Co-Founder, Faros AI
Fei-Fei Li
Associate Professor at Stanford University
Tina Seelig
Executive Director, Knight-Hennessy Scholars, Stanford University
Kara Swisher
Executive Producer of the annual Code Conference
Videos
Welcome and Opening Remarks | Margot Gerritsen and Persis Drell | WiDS 2015
TOPICS: Data Generation/Collection , Foundations (Mathematics/Statistics)
Teaching Computers to See with Big Data | Fei-Fei Li | WiDS 2015
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Hardware
Netflix: A confluence of metrics, algorithms, and experimentation | Caitlin Smallwood | WiDS 2015
TOPICS: Algorithms , Data Generation/Collection , Foundations (Mathematics/Statistics)
Driven Marketplace Design: Experiments, Machine Learning, and Econometrics | Susan Athey | WiDS 2015
TOPICS: Algorithms , Data Generation/Collection , Data Wrangling , Foundations (Mathematics/Statistics)
Network Science: From the Online World to Cancer Genomics | Jennifer Chayes | WiDS 2015
TOPICS: Algorithms , Data Generation/Collection , Foundations (Mathematics/Statistics)
Big Graph Data Science | Lise Getoor | WiDS 2015
TOPICS: Algorithms , Data Wrangling , Foundations (Mathematics/Statistics) , Software Design and Engineering
Enabling Breakthrough Insights | Diane Bryant | WiDS 2015
TOPICS: Algorithms , Data Generation/Collection , Data Wrangling , Hardware , Software Design and Engineering
Cyber Security Research: A Data Scientist’s Perspective | Celeste Matarazzo | WiDS 2015
TOPICS: Data Generation/Collection , Foundations (Mathematics/Statistics)
Keeping Up with the Web | Carrie Grimes Bostock | WiDS 2015
TOPICS: Algorithms , Foundations (Mathematics/Statistics) , Values
Career Panel | WiDS 2015
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics) , Values
The Multi-Facets of a Data Science Project to Answer: How Are Organs Formed | Bin Yu | WiDS 2015
TOPICS: Algorithms , Software Design and Engineering
Closing Remarks | Margot Gerritsen | WiDS 2015
TOPICS: Data Science as a Career , Foundations (Mathematics/Statistics)
Margot Gerritsen: A diverse team leads to higher revenue and better solutions
TOPICS: Data Science as a Career , Values
Montse Medina: Taking a love of math and problem solving and making it into a career
TOPICS: Data Science as a Career
Susan Athey | Driven Marketplace Design: Experiments, Machine Learning, Econometrics | Stanford 2015
TOPICS: Algorithms , Data Generation/Collection , Foundations (Mathematics/Statistics)
Celeste Matarazzo: Using quantitative data to make informed cybersecurity decisions
TOPICS: Data Generation/Collection
Jennifer Chayes: Being an engineer is not a lonely, geeky job; it’s collaborative and creative
TOPICS: Algorithms , Data Generation/Collection
Helena Deus: Utilizing data to help businesses improve processes and services
TOPICS: Data Generation/Collection , Data Wrangling
Other Media
Youtube Playlist