Derek Alexander
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Derek Alexander Email & Phone Number

Don't mine data, generate it. at Amazon
Location: San Francisco Bay Area, United States, United States 7 work roles 2 schools
1 work email found @clairity.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email d****@clairity.com
LinkedIn Profile matched
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Current company
Role
Don't mine data, generate it.
Location
San Francisco Bay Area, United States, United States
Company size

Who is Derek Alexander? Overview

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Quick answer

Derek Alexander is listed as Don't mine data, generate it. at Amazon, a company with 500669 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at clairity.com and a matched LinkedIn profile for Derek Alexander.

Derek Alexander previously worked as Applied Scientist (Healthcare AI) at Amazon and Open Source Researcher at Networkx. Derek Alexander holds Doctor Of Philosophy (Phd), Cognitive Neuroscience And Applied Statistical Modeling from The University Of Texas At Austin.

Company email context

Email format at Amazon

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*@clairity.com
68% confidence

AeroLeads found 1 current-domain work email signal for Derek Alexander. Compare company email patterns before reaching out.

Profile bio

About Derek Alexander

I bring over a decade of experience pioneering reproducible, equitable, and explainable AI solutions for healthcare, spanning the full ML lifecycle from system design to deployment. My current research specializations include multimodal, transfer, reinforcement, and federated deep learning, complemented by a strong background in graph theory, causal models, and Bayesian inference. I take pride in leading diverse teams to build scalable, secure cloud applications that push the boundaries of what's possible in healthcare AI while adhering to rigorous statistics and software engineering best practices.

Listed skills include Personalized Medicine, Clinical Research, Neuroscience, Affective Computing, and 35 others.

Current workplace

Derek Alexander's current company

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Amazon
Amazon
Don't mine data, generate it.
seattle, washington, united states
Website
Employees
500669
AeroLeads page
7 roles

Derek Alexander work experience

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Applied Scientist (Healthcare Ai)

Current
Jan 2025 - Present

Open Source Researcher

Networkx
Aug 2024 - Dec 2024

Principal Machine Learning Engineer

Jul 2023 - Aug 2024

Project Manager, Research Software Engineer

Tucson, Arizona, United States

Jul 2014 - Jul 2016
Team & coworkers

Colleagues at Amazon

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2 education records

Derek Alexander education

FAQ

Frequently asked questions about Derek Alexander

Quick answers generated from the profile data available on this page.

What company does Derek Alexander work for?

Derek Alexander works for Amazon.

What is Derek Alexander's role at Amazon?

Derek Alexander is listed as Don't mine data, generate it. at Amazon.

What is Derek Alexander's email address?

AeroLeads has found 1 work email signal at @clairity.com for Derek Alexander at Amazon.

Where is Derek Alexander based?

Derek Alexander is based in San Francisco Bay Area, United States, United States while working with Amazon.

What companies has Derek Alexander worked for?

Derek Alexander has worked for Amazon, Networkx, Clairity, Inc., The University Of Texas At Austin, and The Johns Hopkins University.

Who are Derek Alexander's colleagues at Amazon?

Derek Alexander's colleagues at Amazon include Kunal Kumar, Juan Olano, Isabela Bijotti, Sayantan Sarkar, and Mitasha Desai.

How can I contact Derek Alexander?

You can use AeroLeads to view verified contact signals for Derek Alexander at Amazon, including work email, phone, and LinkedIn data when available.

What schools did Derek Alexander attend?

Derek Alexander holds Doctor Of Philosophy (Phd), Cognitive Neuroscience And Applied Statistical Modeling from The University Of Texas At Austin.

What skills is Derek Alexander known for?

Derek Alexander is listed with skills including Personalized Medicine, Clinical Research, Neuroscience, Affective Computing, Data Science, Software Engineering, Machine Learning, and Diffusion Tensor Imaging.

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