Liam Hebert work email
- Valid
Liam Hebert personal email
Vanier Scholar, Patent Inventor, Published Researcher (AAAI x 3, COLING, AAMAS, ICMI, ...), Cheriton Scholar, passionate about all things AI/ML. I am completing my PhD in Computer Science at the University of Waterloo, focusing on AI to holistically encode social behaviours using novel multi-modal NLP and Graph Neural Network architectures. Excited about opportunities to apply Machine Learning for Multi-Modal ML, NLP, Graph ML, IR, Explainable AI, Data Science, RL, Foundation Models and Computer Vision to solve the world's problems and much more. Graduate Courses Taken:===================Advanced Distributed SystemsReinforcement LearningInformation RetrievalSoftware Engineering for Big Data and AI Social Media, Trust and Explainability (Advanced Topics in AI)Deep Learning for ChemistryAdvanced Topics in Artificial Intelligence (Affective Computing)Advanced Undergraduate Courses:=======================Machine Learning CryptographyNatural Language ProcessingCloud ComputingData ScienceBioinformatics
-
Research ScientistGoogleKitchener, On, Ca
-
Student Researcher, PhdGoogle Dec 2023 - Aug 2024Mountain View, California, United StatesWorking on multi-modal conversational recommender systems. Initial 4 month internship extended to 9 months as a result of strong performance and project scope.
-
Machine Learning Research InternTwitter May 2022 - Aug 2022Toronto, Ontario, CanadaResearch Intern on the Twitter Cortex Knowledge Graph Machine Learning (KGML) team. Led the research and design of a new Entity Linking pipeline for noisy short-form text, a previously difficult field, using large language models and deep learning. Published and presented my work in an academic conference. Advised by a team of talented senior ML researchers at Twitter Cortex. -
Machine Learning Platform Co-OpKinaxis Sep 2020 - Dec 2020Ottawa, Ontario, CanadaLed the development of a cloud-based product using Kinaxis's industry leading ML Platform from the prototype phase all the way to production using Kubernetes, Docker, Flask, React and Jenkins. Ensured compliance to industry standard QA and Security practices with many scalability measures. Throughout the process, had meetings with shareholders of the product to ensure it met all requirements. -
Machine Learning Platform Co-OpKinaxis Jan 2020 - Apr 2020Ottawa, Canada AreaAdvised by a team of very experienced Machine Learning engineers, I led a research project into multi-objective genetic algorithms to optimize outcomes of complex supply chain information. This work became what is currently production Supply.AI and Demand.AI features that are offered to many users. This work required finding research papers, evaluating their applicability, and applying them in my project. As a result, my algorithms were applied to optimize multi-objective outcomes for many of Kinaxis' Fortune 500 companies
-
Software DeveloperGracenote May 2019 - Aug 2019Halifax, Nova ScotiaDeveloped a Java Kafka Streams application with a team of Software Engineers working under the Agile Scrum methodology. Led the development of various software redesigns which made the entire code base more flexible, performant and legible. Worked with industry standard tools such as Jenkins, Kubernates and Jira among many others.
Liam Hebert Education Details
-
Computer Science -
4.18/4.30 Gpa
Frequently Asked Questions about Liam Hebert
What company does Liam Hebert work for?
Liam Hebert works for Google
What is Liam Hebert's role at the current company?
Liam Hebert's current role is Research Scientist.
What is Liam Hebert's email address?
Liam Hebert's email address is lh****@****rloo.ca
What schools did Liam Hebert attend?
Liam Hebert attended University Of Waterloo, Dalhousie University.
Not the Liam Hebert you were looking for?
-
-
Collin Hebert
Germany -
-
Liam Hébert
Montpellier
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial