Women in Data Science London Virtual Conference 2021

WiDS London Conference 2021 - Learn how leading women and non-binary people in data are advancing and connect with others in the field.

***REGISTER via Eventbrite, where zoom link for the event will be shared:
https://www.eventbrite.co.uk/e/women-in-data-science-wids-london-conference-tickets-142026427869. ***

About this Event

WiDS London Conference 2021 is an independent event that is organized by the WiDS London Ambassadors 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.
WiDS London is hosting a technical conference that provides an opportunity to hear about the advances and research in a number of data domains. Learn how leading women and non-binary people in data are advancing, and connect with potential mentors in the field.

AGENDA:
9:00am-11:00am Live stream from WiDS Stanford, California
11:00am-11:10am Break
11:10am-11:15am WiDS London Ambassadors Welcome & Opening Remarks
11:15 KEYNOTE: Liza Layne, Data and Analytics Thought Leader, Eurostar.
"DataOps."
11:50 TALK 1: Francesca Cavallaro, Maternal and child health epidemiologist, UCL Institute of Child Health.
"Are the most vulnerable mothers in England being targeted for additional support during pregnancy? An analysis using linked administrative data."
12:15 TALK 2: Dr. Catherine Lai, Lecturer at the Centre for Speech Technology Research, University of Edinburgh.
"Spoken language processing: learning from more than just text."
12:40 TALK 3: Zaremba AB, Lead Data Scientist, Hunter Labs Technologies, Quantitative Risk Solutions Lab.
"Statistical causality in multimodal systems."
13:05 BREAK
13:30 NETWORKING
14.00 TALK 4: Kritika Prakash, Machine Learning researcher, OpenMined
"Privacy in Machine Learning and Open-Source."
14:25 TALK 5: Sabrina Barrett, Data Ops Engineer, Tamr
"Advances in Data Pipeline Management."
14:50 TALK 6: Victoria Palmer, Data Science and Analytics, GHD
"Using data insights and lessons learnt from the COVID pandemic to modify our environmental impact."
15:15 TALK 7: Ira Ktena, Research Engineer, DeepMind
"Graph representation learning for disease prediction and beyond."
15:40 KEYNOTE Kanwal Bhatia, Co-founder and CSO of MetaLynx
"Learning without labels: using structure in populations of images."

4:15pm - 4:20pm Closing Remarks

Join us on LinkedIn where you can find more information and updates, as well as network.
See more about WiDS Stanford @ https://www.widsconference.org/