Evelyne Viegas
homepage:http://research.microsoft.com/~evelynev/
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Description

Evelyne Viegas is the director of Semantic Computing at Microsoft Research Redmond. Semantic Computing is about interacting with data in rich, safe, semantically meaningful ways to create the path from data to information, knowledge, and intelligence. In her current role, she is building initiatives that focus on information seen as an enabler of innovation, working in partnership with universities and government agencies worldwide. In particular, she is creating programs around computational-intelligence research to drive open innovation and agile experimentation via cloud-based services, and projects to advance the state of the art in data-driven research, knowledge representation and reasoning under uncertainty at web scale. Before her present role, Viegas worked as a technical lead at Microsoft, delivering natural language processing components to projects for MSN, Office, and Windows. Before Microsoft, and after completing her Ph.D. in France, she worked as a principal investigator at the Computing Research Laboratory in New Mexico on an ontology-based machine-translation project. She serves on international editorial, program, and award committees.


Lectures:

panel
flag Panel on Data Protection and Security on the Web
as panelist at  11th Extended Semantic Web Conference (ESWC), Crete 2014,
together with: Maria Esther Vidal (panelist), Luciano Floridi (panelist), Casanovas Romeu Pompeu (panelist), Steffen Staab (panelist), Fabien Gandon (panelist), Aldo Gangemi (panelist), Harith Alani (panelist), Valentina Presutti (moderator),
2631 views
  panel
flag Panel on Data Protection and Security on the Web
as panelist at  11th Extended Semantic Web Conference (ESWC), Crete 2014,
1891 views
lecture
flag Codalab - A new service for data exchange, code execution, benchmarks and reproducible research
as author at  NIPS Workshops, Lake Tahoe 2013,
1793 views
  lecture
flag Data Intelligence
as author at  Industry Talks,
2668 views
lecture
flag Challenges in machine Learning
as author at  30. The Web Conference VIRTUAL EDITION, Ljubljana 2021,
5 views