Qixuan FENG
Senior Research Engineer @ Google DeepMind
About
https://scholar.google.com/citations?hl=en&user=1ol_V1wAAAAJ
United Kingdom
London
Research
Python, Machine learning, Apache Spark, Extract, Transform, Load (ETL), Unit Testing, Deep Learning, Data Visualization, Git, Google Cloud Platform (GCP), Java, Hadoop, Scala, SQL, Matlab, R, C++, Clean Code, Hive, Time Series Analysis, Natural Language Processing (NLP)
Experience
Senior Research Engineer
Google DeepMind
London Area, United Kingdom
Research Engineer
Google DeepMind
London Area, United Kingdom
Continual Learning
Machine Learning Scientist
Booking.com
Amsterdam Area, Netherlands
AI Research Engineer
Optimal Agriculture
Rotterdam Area, Netherlands
Research Project
University of Oxford
Oxford, UK
Designing new deep learning architecture for timely prediction of adverse event (ICU admission) based on irregularly sampled multivariate clinical time series data.
Software Developer Internship
Enedis
Paris Area, France
Development of a human machine interface which facilitates the analysis of connections to electrical grids; Competence acquired in programming languages/libraries: Javascript, PHP, SQL, jQuery, Openlayers 3.
Research Intern
Inria
Nancy Area, France
In MAGRIT project team, I have helped improve reliability of camera pose computation which is an essential step in video tracking, using object recognition (bag-of-words model) and machine learning algorithms (SVM). My tutors are Mrs. Marie-Odile Berger and Mr. Gilles Simon.
Education
University of Oxford
Computer Science
CentraleSupélec
computer and electrical engineering
A wide range of engineering and scientific courses: computer science, electronics, electricity, telecommunication, physics, mathematics and economics.
Université de Technologie de Compiègne (UTC)
basic scientific courses: mathematics, physics, chemistry,mechanics, electronics, computer science
After two years and a half, I transferred to CentraleSupelec by parallel admission.
Qixuan FENG's Contact Information
Phone
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