Clément Gautrais

Clément Gautrais

PhD Student in Computer Science

About Me

I am a PhD student in my third year at the IRISA Lab in the LACODAM team.
The subject of my thesis is "Detection and characterization of user behavior in a Big Data context: application to complex rhythms study in retail and medicine." My supervisors are Alexandre Termier, Peggy Cellier, Thomas Guyet and René Quiniou.



  • [3] Gautrais, C., Quiniou, R., Cellier, P., Guyet, T., & Termier, A. (2017, May). Purchase Signatures of Retail Customers. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 110-121). Springer, Cham.
  • [4] Gautrais, C., Cellier, P., Quiniou, R., & Termier, A. (2017). Topic Signatures in Political Campaign Speeches. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 2332-2337).
  • [5] Gautrais, C., Dauxais, Y., & Guilleme, M. (2017, September). Multi-Plant Photovoltaic Energy Forecasting Challenge: Second place solution. In Discovery Challenges co-located with European Conference on Machine Learning-Principle and Practice of Knowledge Discovery in Database.


  • [1] Gautrais, C., Cellier, P., Guyet, T., Quiniou, R., & Termier, A. (2016, March). Understanding Customer Attrition at an Individual Level: a New Model in Grocery Retail Context. In International Conference on Extending Database Technology (EDBT).
  • [2] Doux, B., Gautrais, C., & Negrevergne, B. (2016). Detecting strategic moves in HearthStone matches. In Machine Learning and Data Mining for Sports Analytics Workshop of ECML/PKDD.


Teaching assistant at the ESIR engineering school in the following courses:
  • PROG1-Semester 5: Introduction to Java Object Oriented programming (Lab assistant in 2015, 2016 and 2017).
  • SYS-Semester 6: Introduction to assembly language (Lab assistant in 2015, 2016 and 2017).
  • ALG-Semester 6: Graph algorithms (Lab and tutorials assistant in 2015, 2016 and 2017).

Work Experience

PhD student IRISA Lab (From October 2015)

PhD student at the Inria Lab in Rennes in the LACODAM team on the detection and characterization of user behavior in data.

Research intern Stime (February 2015 - July 2015)

Research internship at the Inria Lab in Rennes in the LACODAM team on the analysis of retail customers data.

The goal of the internship was to develop a new method to analyze customer attrition. This work led to the publication of a poster [1].

I used Apache Spark to process the data and D3.js to present my results.

Test automation intern Envivio (now Ericsson) (June 2014 - September 2014)

Development of test automation libraries to assess visual similarity across browsers. Use of Robot Framework, Selenium and scikit-image

Test automation intern Astellia (June 2013 - August 2013)

Development of test automation libraries based on Robot Framework and Python.

Modification of a network stream simulator in C++.

Test automation intern Cedricom June 2011 - August 2011

Creation and automation of non-regression tests with Selenium and Java.