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Feifei Huang Email & Phone Number

Research Scientist II at Amazon Web Services
Location: Greater Seattle Area, United States, United States 1 work role
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✓ Verified May 2026 2 data sources Profile completeness 86%

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Current company
Role
Research Scientist II
Location
Greater Seattle Area, United States, United States
Company size

Who is Feifei Huang? Overview

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Quick answer

Feifei Huang is listed as Research Scientist II at Amazon Web Services, a company with 142019 employees, based in Greater Seattle Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Feifei Huang.

Company email context

Email format at Amazon Web Services

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Amazon Web Services

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Profile bio

About Feifei Huang

Feifei Huang is a Research Scientist II at Amazon Web Services. They possess expertise in operations research, statistics, probabilistic models, machine learning, time series analysis and 14 more skills.

Listed skills include Operations Research, Statistics, Probabilistic Models, Machine Learning, and 15 others.

Current workplace

Feifei Huang's current company

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Amazon Web Services
Amazon Web Services
Research Scientist II
Kirkland, WA, US
Website
Employees
142019
AeroLeads page
1 role

Feifei Huang work experience

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FAQ

Frequently asked questions about Feifei Huang

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What company does Feifei Huang work for?

Feifei Huang works for Amazon Web Services.

What is Feifei Huang's role at Amazon Web Services?

Feifei Huang is listed as Research Scientist II at Amazon Web Services.

Where is Feifei Huang based?

Feifei Huang is based in Greater Seattle Area, United States, United States while working with Amazon Web Services.

What companies has Feifei Huang worked for?

Feifei Huang has worked for Amazon Web Services.

How can I contact Feifei Huang?

You can use AeroLeads to view verified contact signals for Feifei Huang at Amazon Web Services, including work email, phone, and LinkedIn data when available.

What skills is Feifei Huang known for?

Feifei Huang is listed with skills including Operations Research, Statistics, Probabilistic Models, Machine Learning, Time Series Analysis, Linear Programming, Monte Carlo Modeling, and Mathematical Modeling.

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