Sylvain LAPEYRADE

Data Scientist & PhD Student

About

I am a Data Scientist in Toronto, Canada working at Shift Technology, a company that uses AI to detect fraud in insurance claims.

I am also finishing my PhD in Game Artificial Intelligence from Clermont Auvergne University in France. My research involves trying to improve Non-Player Characters decision making in games through logic programming and ontologies, using Prolog and the Unity game engine.

Interests

Artificial Intelligence
Data Science
Machine Learning
Game Artificial Intelligence

Education

PhD Game Artificial Intelligence, 2023
LIMOS - Clermont Auvergne University, France
MSc Computer Science, 2020
UPSSITECH - Toulouse University, France
Erasmus Computer Science, 2019
Linköping University, Sweden

Experience

Data Scientist

Shift Technology

Sep 2023 – Present Toronto, Canada

Artificial Intelligence to automate fraud detection in insurance claims

Data Science Mentor

OpenClassrooms

Apr 2023 – Present Remote

Tutoring students – EDA, Machine Learning, Computer Vision, NLP, Data Viz, Cloud, MLOps, Tableau, Power BI, etc.

Temporary Teacher & University Teaching Assitant

University Clermont Auvergne (UCA)

Oct 2020 – Sep 2023 Clermont-Ferrand & Vichy, France

MSc 1 – Object Oriented Programming for a C++ Game with Qt
MSc 1 – Neurals Networks with Python
BSc 2/3 – Video game development using Unity and C#
BSc 3 – Artificial Intelligence with machine Learning
BSc 2 – General Object Oriented Programming in Java

Data Science Research Intern

National Institute of Informatics (NII)

Mar 2020 – Aug 2020 Tokyo, Japan

Data Mining, EDA, Unsupervised Learning, Data Analysis, Data Viz for network data

Machine Learning Research Intern

Informatics Research Institute of Toulouse (IRIT)

Apr 2019 – Jul 2019 Toulouse, France

Recurrent Neural Networks (LSTM, GRU) for automated network intrusion detection

Software Developer Intern

SCLE SFE

Apr 2017 – Jun 2017 Toulouse, France

Python software to automate parsing and conversion of XML and Binary code

Research

Sylvain LAPEYRADE, Christophe Rey (2023). Non-Player Character Decision-Making With Prolog and Ontologies. In COG'23.

PDF Video

Sylvain LAPEYRADE (2022). Demo: Generate Emergent NPC Behaviours With Symbolic Reasoning. In AIIDE'22 EXAG.

PDF Slides

Sylvain LAPEYRADE (2022). Reasoning with Ontologies for Non-player Character’s Decision-Making in Games. In AIIDE'22 DC.

PDF Slides Video DOI

Sylvain LAPEYRADE (2022). Reasoning with Ontologies for Non-player Character’s Decision-Making in Games. In LAMAS&SR'22.

PDF Slides

Sylvain LAPEYRADE, Christophe Rey, Bruno Bachelet, Loïc Yon (2022). Raisonnements ontologiques temps réel pour l’IA des Personnages Non-Joueurs dans les jeux vidéo. In PFIA22 – JFSMA.

Slides

Sylvain LAPEYRADE (2021). Reasoning with Ontologies for Non-Player Character Decisions in Games. In KR21 DC.

PDF Poster Slides Video

Sylvain LAPEYRADE, Christophe Rey, Bruno Bachelet, Loic Yon (2021). Raisonnements Ontologiques pour la Crédibilité des IA dans les Jeux Vidéo. In PFIA21 – Jeux et IA.

PDF Slides Video

Sylvain LAPEYRADE, Kensuke Fukuda (2020). Analysis of Time-To-Live DNS Settings. MSc 2 – Thesis.

Sylvain LAPEYRADE, Romain Laborde, Arnaud Oglaza, Abdelmalek Benzekri (2019). Recurrent Neural Networks for Network Intrusion Detection. MSc 1 – Thesis.

PDF Code Dataset Slides Source Document