White Feather

Thursday, March 11, 2021

10:00am - 3:30pm EST, virtual

Did you miss registration for WiDS Cambridge ? 

We'll also broadcast to Facebook Live starting at 10am EST on 3/11

Click here for the Facebook event link!

For the fifth year in a row, Harvard, MIT, Microsoft Research New England, and now the Broad Institute, are proud to collaborate with Stanford University to bring the Women in Data Science (WiDS) conference to Cambridge, Massachusetts.

​This virtual, one-day technical conference will feature an all-female lineup of speakers from academia and industry, to talk about the latest data science-related research in a number of domains, to learn how leading-edge companies are leveraging data science for success, and to connect with potential mentors, collaborators, and others in the field.

WiDS Cambridge is an independent event that is organized by Harvard, MIT, Microsoft Research New England, and the Broad Institute, as part of the annual WiDS Worldwide conference organized by Stanford University and an estimated 150+ locations worldwide, which features outstanding women doing outstanding work in the field of data science. All genders are invited to attend all WiDS Worldwide conference events.

 

Keynote Speaker

Anette (Peko) Hosoi

MIT Associate Dean of Engineering

Neil and Jane Pappalardo Professor of Mechanical Engineering

contact wids-cambridge2021@mit.edu for more info

Panels

Morning panel - Machine Learning for Health Care

Grace Tiao

Moderator

Associate Director for Computational Genomics in the Translational Genomics Group

Broad Institute

Hilary Finucane

Co-Director, Program in Medical and Population Genetics at the Broad Institute and core faculty member in the Analytic and Translational Genetics Unit at Massachusetts General Hospital

Marzyeh Ghassemi

Assistant Professor

Machine Learning for Health

University of Toronto

Beth Zeranski

Dir. Partner Technology Strategist

Microsoft

Afternoon panel - Bias and Equity within Data Science  

Kristian Lum

Moderator

Assistant Research Professor

Department of Computer and Information Science

School of Engineering and Applied Science, UPenn

Himabindu Lakkaraju

Assistant Professor

Harvard Business School and the Department of Computer Science

Harvard University

Ehi Nosakhare

Senior Data Scientist Manager

AI Rotation Program at

Microsoft

Lauren Klein

Associate Professor

Departments of English and Quantitative Theory and Methods;

Director, Digital Humanities Lab

 Emory University

WiDS 2020 Conference 
by: Cobrandit Video

About WiDS

The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. WiDS started as a one-day technical conference at Stanford in November 2015. Five years later, WiDS is a global movement that includes a number of worldwide initiatives:

  • A conference with 150+ regional events worldwide in more than 60 countries, reaching 100,000 participants annually online and in person
  • A datathon, encouraging participants to hone their skills using a social impact challenge

  • A podcast series, featuring data science leaders from around the world talking about their work, their journeys, and lessons learned along the way

  • An education outreach program to encourage secondary school students to consider careers in data science, artificial intelligence (AI), and related fields

For more information, visit here. 

Follow us #WiDS2021

 

Hosted by

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In collaboration with

Affiliated with

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Recruiting & Networking Booth Sponsors

in gather.town

MIT IDSS wishes to thank the following for their support

Conference Contact:

wids-cambridge2021@mit.edu

#WiDSCambridge

#WiDS2021

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