ALEX PARMENTIER

[email protected]  https://cs.uwaterloo.ca/~aparment/

EDUCATION University of Waterloo September 2018 - Spring 2020 M.Math. Computer Science Waterloo, ON, Canada · Thesis Focus: AI, Multi-Agent System, Trust Modeling · Supervisor: Dr. Robin Cohen · Academic Average: 93.5% Advanced Research Topics: Software Foundations 95% Advanced Topics in AI: Trust and Online Social Networks 93% Introduction to Machine Learning 95% Empirical Software Evaluation 91%

McGill University September 2013 - June 2017 B.A. Computer Science Montr´eal,QC, Canada · Minor in Philosophy · Academic Average: 89% (Graduated with Distinction)

WORK EXPERIENCE University of Waterloo September 2018 - Present Graduate Researcher Waterloo, ON, Canada · I explore novel methods for applying trust and reputation models to the creators of online content. In particular, I experiment with detecting anti-social behaviour on Reddit by quantifying reactions to messages and personalizing user-to-user trust predictions on Yelp. · Subjects: AI, Machine Learning, Multi Agent Systems, Recommender Systems. · Technologies: Java, Python, scikit-learn, Pytorch.

Amilia June 2017 - July 2018 Full-Stack Software Developer Montr´eal,QC, Canada · Worked with a group of 40 developers on a large SAAS webapp which allows clients to track inventory, customers and schedules. · Updated testing practices while serving on an internal committee. Increased rate of test creation by training developers and updating our tutorials for testing frameworks and Test Driven Development. · Refactored payment processing tools, reducing code footprint by 60% and adding test coverage. · Led sprint retrospectives for my team. · Technologies: C#, ASP.NET, SQL Server, Javascript, NHibernate, Git

DDMAL, McGill University May 2015 - June 2017 Undergraduate Research Assistant (software development) Montr´eal,QC, Canada · Developed online tools for academics at McGill related to automated musicological analysis, distributed database systems and optical music recognition systems. · Built all backend services for https://musiclibs.net/, a distributed database tool that aggregates and indexes visual music documents from libraries worldwide. · Built search, upload and download interface, and redesigned most of the front end as lead developer for https://database.elvisproject.ca, an interface to a database of symbolic music data. · Technologies: Python, Django, PostgreSQL, Solr (Lucene), Git. REFEREED PUBLICATIONS AND PRESENTATIONS

Personalized Prediction of Trust Links in Social Networks (Student Abstract). Alex Parmentier and Robin Cohen. Accepted at AAAI 2020. Learning User Reputation on Reddit. Alex Parmentier and Robin Cohen. IEEE/WIC/ACM Interna- tional Conference on Web Intelligence 2019. Trust Modelling in Dynamic Environments. Yue Xia, Alex Parmentier, Robin Cohen. TRUST work- shop, AAMAS 2019. Tripoli: Presentation API Validation and Correction (poster). Alex Parmentier, Andrew Hankinson and Ichiro Fujinaga. IIIF Conference 2017.

AWARDS AND SCHOLARSHIPS

Mathematics Master’s Scholarship. September 2018. $5000. University of Waterloo. Mathematics Graduate Student Award. September 2018. $5000. University of Waterloo. TEAM Mentorship Award. January 2016. $300. McGill University.

PROJECTS Personalized Trust Modeling 2020 · Using an unsupervised clustering step to identify groups of similar users, learn trust predictors on the basis of these groups. · Showed improvements in item recommendation accuracy when clustering applied. · Technologies: Java, Python, numpy.

Reddit Reputation 2019 · Novel method for processing tree-shaped Reddit conversations into feature vectors, predict qualities of a conversation-starting comment from the reaction to that comment. · 77% accuracy predicting score polarity, 70% accuracy predicting presence of hateful terms. · Technologies: Python, scikit-learn, SQL.

TECHNICAL SKILLS Languages: Python, Java, C#, C, SQL, JavaScript, LISP, HTML, CSS. Frameworks and Technologies: Django, ASP.NET, Nginx, NHibernate, Backbone, React, Solr, Nginx, scikit-learn, PyTorch, Unix, Git. Techniques: Test Driven Development, Object Oriented Programming, Functional Programming, Machine Learning, Agile.

REFERENCES References available upon request: · Dr. Robin Cohen, Professor, University of Waterloo · Alexis Philippe, Executive Vice President, Product & Engineering, Amilia