ÂÜÀòÂÒÂ×

William Trouleau has a diverse work experience in the field of data science and research. William is currently employed at Unit8 as an Engagement Lead & Data Scientist. Prior to that, they worked as a Data Scientist at the same company. William also gained extensive research experience during their time as a PHD Candidate at EPFL. William'sthesis focused on the statistical and algorithmic aspects of learning causality structure from high-dimensional time series. William developed innovative machine algorithms for temporal data and conducted research on controlling the spread of infectious disease epidemics. William has published papers in top machine learning conferences. Additionally, they served as a Teaching Assistant at EPFL for various courses related to internet analytics, digital communications, and Java programming. William also worked as a Helpdesk Operator during that time. William gained further research experience through internships at the Institute for Disease Modeling and Technicolor, where they worked on projects related to topic mining and statistical models.

William Trouleau completed their education in a chronological manner. William attended Lycée International de Ferney-Voltaire from 2002 to 2009, where they obtained their High School Diploma with a focus on Science. Following this, they enrolled at EPFL (École polytechnique fédérale de Lausanne) and pursued a Bachelor of Science (B.Sc.) in Telecommunications Engineering from 2009 to 2012. William continued their studies at EPFL and achieved a Master of Science (M.Sc.) in Telecommunications Engineering from 2012 to 2014. Finally, William obtained a Doctor of Philosophy (Ph.D.) degree in Data Science from EPFL from 2015 to 2019. In addition to their formal education, they also received a certification in Epidemiology: The Basic Science of Public Health from Coursera Course Certificates in February 2016.