LinkedInDavid Grangier

David Grangier

Research Scientist at Facebook

Location
San Francisco Bay Area
Industry
Research
Previous
  1. Microsoft Research,
  2. AT&T Labs, Inc.,
  3. NEC Laboratories America
Education
  1. Ecole polytechnique fédérale de Lausanne
Websites
116connections

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116connections
Ecole polytechnique fédérale de Lausanne

Ecole polytechnique fédérale de Lausanne

Machine Learning

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Background

Summary

Design new machine learning algorithms for large scale problems

Specialties:Machine Learning for Ranking, Text Modeling, Computer Vision & Speech Recognition

Experience

Research Scientist

Facebook
– Present (4 months)Menlo Park, California

Working in the AI Research Group on machine learning, vision and text understanding.

Senior Research Engineer

Microsoft Research
(2 years 3 months)Redmond, WA

Research on Active Learning

As a Senior Research Engineer at Microsoft Research, my objective is to advance the state-of-the-art in machine learning and deliver machine learning tools to help Microsoft product teams. I am currently working on (inter)active learning systems to facilitate how human can teach to machines.

Principal Research Scientist

AT&T Labs, Inc.
(1 year 4 months)

Machine Learning Research, Modeling Mobility

As a Principal Scientist at AT&T Research, my objective is to advance the state-of-the-art in machine learning in areas relevant to AT&T business. I worked on modeling mobility based on mobile network records. I also implemented a gradient boosting library for structured prediction problems.

Research Scientist

NEC Laboratories America
(2 years 9 months)

Machine Learning: model spatial dependencies for image parsing, model semantic relationships between text documents

As a Research Scientist at NEC Labs, my objective is to advance the state-of-the-art in machine learning in areas relevant to NEC. I worked on deep learning for understanding visual scenes and on latent semantic models for improving retrieval systems.

Research Assistant

Idiap Research Institute
(5 years 3 months)

Research: Machine Learning for Information Retrieval

As a Research Assistant at IDIAP, I worked on machine learning for information retrieval. I notably worked on learning to rank images in answer to text queries using kernel-based approaches and neural networks.

Research Intern

Google
(7 months)

Research: Machine Learning for Image Search

As a Research Intern at Google, I worked on scaling up my graduate work to train and deploy algorithms to improve image search.

Intern

Silogic
(4 months)

Research: Speaker Identification for Embedded Applications

As a Research Intern at Silogic, I worked on learning speaker identification model suited for parallel pattern matching chips (ZISC chips).

Languages

  1. English

  2. French

Skills

  • Machine Learning
  • Computer Vision
  • Information Retrieval
  • Pattern Recognition
  • Speech Recognition
  • Speech Processing
  • Algorithms
  • Signal Processing
  • Data Mining
  • Neural Networks
  • Natural Language...
  • Computer Science
  • Artificial Intelligence

Education

Ecole polytechnique fédérale de Lausanne

PhD, Machine Learning

Doctoral Studies (PhD) in Machine Learning Supervised by Samy Bengio.

EURECOM

M. Sc., Computer Science

Multimedia Communications; Speech Processing with Christian Wellekens

Université de Nice-Sophia Antipolis

M. Sc, Computer Science

Network and Distributed Systems

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