I am currently a postdoctoral researcher in the Data Science and Mining team (DaSciM) of Prof. Michalis Vazirgiannis. The group is part of the Computer Science Laboratory (LIX) of École Polytechnique, in Palaiseau, France.

I received my PhD in Civil Engineering from the University of Colorado at Boulder in the Spring of 2015, under the supervision of Prof. Matthew R. Hallowell (primary advisor) and Prof. Balaji Rajagopalan. I applied NLP, predictive modeling and probability theory to raw textual injury reports in order to better understand and forecast construction injuries. My work was funded by the NSF and major American construction companies. Before that, I obtained a MS in Construction Engineering & Management (CU Boulder 2013) and a MS in Electrical & Mechanical Engineering (ESTP Paris 2011).

My research interests overspan all aspects of applied Machine Learning and statistical modeling, and how cutting-edge tools from these fields can be applied to real data to solve concrete problems. Lately, I have focused primarily on how using graph structures and graph theory can improve performance for various NLP tasks, such as keyword(phrase) extraction and extractive/abstractive summarization.

I served as a reviewer for CIKM 2016, WSDM 2017 and AAAI 2017.



I developed the interactive web apps below from scratch:


I have been very fortunate and learned a lot from collaborating with the great individuals listed below (by chronological order). Thanks to all of them!

Matt Hallowell (CU Boulder), Alex Albert (NC State), Leaf Van Boven (CU Boulder), Balaji Rajagopalan (CU Boulder), Michalis Vazirgiannis (École Polytechnique), Konstantinos Skianis (École Polytechnique), Fragkiskos D. Malliaros (UC San Diego), Polykarpos Meladianos (AUEB), and Giannis Nikolentzos (AUEB).


Here is my CV. You can contact me at antoine.tixier-1@colorado.edu