Skip to main content

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

Executive Director

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)

Women are changing the world of data science

TOPICS: Data Science as a Career , Values

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

Entrepreneur Panel | WiDS 2015

TOPICS: Algorithms , Data Science as a Career , Data Wrangling

Cyber Security Research: A Data Scientist’s Perspective | Celeste Matarazzo | WiDS 2015

TOPICS: Data Generation/Collection , Foundations (Mathematics/Statistics)

Evolution of Shopping, Powered by Data Science | Kelly Thompson | WiDS 2015

TOPICS: Algorithms

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

Making Pictures, 1000 Words at a Time | Irene Ros | WiDS 2015

TOPICS: Data Generation/Collection

Closing Remarks | Margot Gerritsen | WiDS 2015

TOPICS: Data Science as a Career , Foundations (Mathematics/Statistics)

WiDS Interview with Bin Yu

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

Carrie Grimes, Google | Stanford Women In Data Science (WiDS) Conference 2015

TOPICS: Algorithms , Foundations (Mathematics/Statistics)

WiDS in The Cube: John Furrier, Jeff Frick

TOPICS: Algorithms , Values

WiDS in The Cube: Monica Rogati, Data Collective

TOPICS: Algorithms , Data Wrangling

WiDS in The Cube: Kelly Thompson, Walmart

TOPICS: Data Wrangling

WiDS in The Cube: Caitlin Smallwood, Netflix

TOPICS: Algorithms , Data Wrangling , Values

Other Media

Youtube Playlist