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Anderson Lee Email & Phone Number

AI Reserch Intern at JPMorganChase
Location: Seattle, Washington, United States 7 work roles 2 schools
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✓ Verified August 2026 3 data sources Profile completeness 86%

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Current company
Role
AI Reserch Intern
Location
Seattle, Washington, United States
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Who is Anderson Lee? Overview

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Anderson Lee is listed as AI Reserch Intern at JPMorganChase, a with 213060 employees, based in Seattle, Washington, United States. AeroLeads shows a matched LinkedIn profile for Anderson Lee.

Anderson Lee previously worked as Software Engineer Intern at Stripe and Undergraduate Researcher at Paul G. Allen School Of Computer Science & Engineering. Anderson Lee holds Master Of Science - Ms, Computer Science from University Of Washington.

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JPMorganChase

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Profile bio

About Anderson Lee

Hello, I'm Anderson.I'm into research around machine learning fairness, robustness, and modeling the societal impact of algorithmic decision-making!

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JPMorganChase
Jpmorganchase
AI Reserch Intern
Seattle, WA, US
Employees
213060
AeroLeads page
7 roles

Anderson Lee work experience

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Software Engineer Intern

Seattle, Washington, United States

Credit Detection

Jun 2024 - Sep 2024

Undergraduate Researcher

"Fairness through partial awareness: Evaluation of the addition of demographic information for bias mitigation methods" advised by Rachel Hong, Professor Jamie MorgensternICML 2024 NextGenAISafety Workshop

Oct 2023 - Jun 2024

Teaching Assistant

Seattle, Washington, United States

Autumn 2022: Introductory Programming I (CSE121)Winter 2023: Introductory Programming III (CSE123)Spring 2023: Machine Learning (CSE446/546)Autumn 2023: Machine Learning (CSE446/546)Winter 2024: Machine Learning (CSE446/546)

Sep 2022 - Mar 2024

Research Assistant

Seattle, Washington, United States

Low Resource Multimodal Machine Learning for Wildlife MonitoringDeveloped low resource and multimodal machine learning to perform fine-grained classification for birds through audio-visual dataset (advised by Emmanuel Mensah, Kurtis Heimerl)Pretrained low resource models, like MobileViT, MobileNet, and EfficientNet, with different datasets such as ImageNet, Audioset, and iNaturalistTrained MobileViT to achieve 50.2% accuracy on SSW60 fine-grained classification dataset… Show more Low Resource Multimodal Machine Learning for Wildlife MonitoringDeveloped low resource and multimodal machine learning to perform fine-grained classification for birds through audio-visual dataset (advised by Emmanuel Mensah, Kurtis Heimerl)Pretrained low resource models, like MobileViT, MobileNet, and EfficientNet, with different datasets such as ImageNet, Audioset, and iNaturalistTrained MobileViT to achieve 50.2% accuracy on SSW60 fine-grained classification dataset in 1.12M parameter counts opposed to baseline large model with 58.9% and 86M parameter counts Show less

Jan 2023 - Oct 2023

Software Engineer Intern

Bellevue, Washington, United States

Product Grow intended to help employees explore growth opportunities inside their organization and promotes internal mobility through internal learning and job recommendation/search/dashboardBuilt client-facing admin tool to allow configuration of job architecture within organization to improve scalability by granting clients ability to modify their own customized attributesExtracted and categorized top 30 typical skills for specific job positions from 500+ skill recommendations… Show more Product Grow intended to help employees explore growth opportunities inside their organization and promotes internal mobility through internal learning and job recommendation/search/dashboardBuilt client-facing admin tool to allow configuration of job architecture within organization to improve scalability by granting clients ability to modify their own customized attributesExtracted and categorized top 30 typical skills for specific job positions from 500+ skill recommendations by clustering embeddings of skills with Kmeans and providing explanability through umap dimensionality reductionDelivered admin tool in production to allow hiring managers in client’s organization to curate skills content pertained to their internal job board with skills recommendation support in 3 weeks Show less

Jun 2023 - Aug 2023

Project Lead

Seattle, Washington, United States

Designed and coordinated a 3-month group project for beginners to apply data analytics to dataset including data visualization, processing, and machine learning

Dec 2022 - Mar 2023
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Colleagues at JPMorganChase

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2 education records

Anderson Lee education

FAQ

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What company does Anderson Lee work for?

Anderson Lee works for JPMorganChase.

What is Anderson Lee's role at JPMorganChase?

Anderson Lee is listed as AI Reserch Intern at JPMorganChase.

Where is Anderson Lee based?

Anderson Lee is based in Seattle, Washington, United States while working with JPMorganChase.

What companies has Anderson Lee worked for?

Anderson Lee has worked for Jpmorganchase, Stripe, Paul G. Allen School Of Computer Science & Engineering, Seekout, and Applied Analytics Club At Uw (Aacuw).

Who are Anderson Lee's colleagues at JPMorganChase?

Anderson Lee's colleagues at JPMorganChase include Logan Davis, Lorna Nepomuceno, Christin Bogg, Deidre Brown, and Mukesh Patil.

How can I contact Anderson Lee?

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What schools did Anderson Lee attend?

Anderson Lee holds Master Of Science - Ms, Computer Science from University Of Washington.

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