Mason Hu
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Mason Hu Email & Phone Number

Data Science, Math @ UofT | Data Science Intern @ Pason | DeepEmotion Team Lead @ UTMIST at Pason
Location: Toronto, Ontario, Canada 6 work roles 1 school
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✓ Verified May 2026 3 data sources Profile completeness 86%

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Current company
Role
Data Science, Math @ UofT | Data Science Intern @ Pason | DeepEmotion Team Lead @ UTMIST
Location
Toronto, Ontario, Canada
Company size

Who is Mason Hu? Overview

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Quick answer

Mason Hu is listed as Data Science, Math @ UofT | Data Science Intern @ Pason | DeepEmotion Team Lead @ UTMIST at Pason, a company with 577 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Mason Hu.

Mason Hu previously worked as Data Science Intern at Pason and Team Lead - DeepEmotion at University Of Toronto Machine Intelligence Student Team (Utmist). Mason Hu holds Bachelor Of Science - Bs, Data Science Specialist, Mathematical Applications Specialist In Statistics And Probabilities, 3.92 from University Of Toronto.

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Pason

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Profile bio

About Mason Hu

Hey, I am Mason Hu, an undergraduate student studying Data Science and Math in U of T. My research areas are computer vision and computational neuroscience.

Current workplace

Mason Hu's current company

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Pason
Pason
Data Science, Math @ UofT | Data Science Intern @ Pason | DeepEmotion Team Lead @ UTMIST
calgary, alberta, canada
Website
Employees
577
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6 roles

Mason Hu work experience

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Data Science Intern

Current

Calgary, Alberta, Canada

Conducted unsupervised change point detection research based on PELT and BinSeg using Ruptures in Python; deployed a server in Django that detects and quantifies subterranean formation changes with 7 raw traces.Deployed KPI Gen in Linux using Oracle VM and Ubuntu, an MLapp that generates different kinds of drilling statistics with visualizations.

May 2024 - Present

Reseacher, Computational Neuroscience

Toronto

Simulated human brain sensorimotor functions through artificial neural networks and EEG data. Hypothesis testing about ventral and dorsal streams in the human visual cortex using grasp planning and object recognition models.

May 2023 - Aug 2024

Academic Director

Toronto, Ontario, Canada

Led a series of 6 deep learning lectures; organized Immersion Nights; conducted paper-reading and implementation workshops.Mentor in GenAI Genesis, assisting hackers tackle the SDGs with generative AI.

Sep 2023 - Apr 2024

Asip Ambassador

Toronto, Ontario, Canada

Represented UofT in Empire Club Canada "Charting Canada’s AI Future" convention. Organized FinTech event; hosted March Wellness Event, Sustainability Poster Competition, two student socials, and multiple career mentor roundtables.

Sep 2023 - Apr 2024

Machine Learning Researcher

Toronto, Ontario, Canada

Proposed AgResUNet, producing superior segmentations on multifaceted benchmarks, improving state-of-the-art MIoU by 3.4%.JULS 17th edition under review.

May 2023 - Aug 2023
Team & coworkers

Colleagues at Pason

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1 education record

Mason Hu education

FAQ

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What company does Mason Hu work for?

Mason Hu works for Pason.

What is Mason Hu's role at Pason?

Mason Hu is listed as Data Science, Math @ UofT | Data Science Intern @ Pason | DeepEmotion Team Lead @ UTMIST at Pason.

Where is Mason Hu based?

Mason Hu is based in Toronto, Ontario, Canada while working with Pason.

What companies has Mason Hu worked for?

Mason Hu has worked for Pason, University Of Toronto Machine Intelligence Student Team (Utmist), Psychology, University Of Toronto, University Of Toronto, and Temerty Faculty Of Medicine, University Of Toronto.

Who are Mason Hu's colleagues at Pason?

Mason Hu's colleagues at Pason include Nicolas Valera, Kelly Franklin, Ivan Presas, James Cook, and Todd Klein.

How can I contact Mason Hu?

You can use AeroLeads to view verified contact signals for Mason Hu at Pason, including work email, phone, and LinkedIn data when available.

What schools did Mason Hu attend?

Mason Hu holds Bachelor Of Science - Bs, Data Science Specialist, Mathematical Applications Specialist In Statistics And Probabilities, 3.92 from University Of Toronto.

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