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Lee Jensen Email & Phone Number
Associate Professor
at
Brigham Young University
1 work email found
@agilix.com
1 phone found area 801
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Current company
Role
Associate Professor
Location
Provo, Utah, United States
Who is Lee Jensen? Overview
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Quick answer
Lee Jensen is listed as Associate Professor at Brigham Young University, based in Provo, Utah, United States. AeroLeads shows a work email signal at agilix.com, phone signal with area code 801, and a matched LinkedIn profile for Lee Jensen.
Lee Jensen previously worked as Senior Software Engineer at Agilix Labs, Inc. and Adjunct Professor at Brigham Young University. Lee Jensen holds Ms, Computer Science from Brigham Young University.
Company email context
Email format at Brigham Young University
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{first}.{last}@agilix.com
86% confidence
AeroLeads found 1 current-domain work email signal for Lee Jensen. Compare company email patterns before reaching out.
Profile bio
About Lee Jensen
Associate Professor of Computer Science. Teaching the next generation of world enhancers.Passionate about large distributed systems, cloud based architectures, full stack development, large data problems, system reliability, and meeting customer requirements.
Listed skills include Machine Learning, Software Engineering, Big Data, Information Retrieval, and 21 others.
Current workplace
Lee Jensen's current company
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9 roles · 35 years
Lee Jensen work experience
A career timeline built from the work history available for this profile.
Associate Professor
Mentoring the next generation of world changers through the application of computer science.
Senior Software Engineer
Powering the world's online educational systems with real time content streaming, behavioral analysis, game mechanics, and progress tracking. All under a cost effective, cloud based infrastructure.
Sep 2014 - Jan 2023
Adjunct Professor
Sharing essential full stack web development skills with the awesome rising generation.
Jan 2022 - Apr 2022
Senior Software Architect
Visualizing and enabling actionable business intelligence by processing terabytes of data in real time.
Mar 2012 - Sep 2014
Principal Researcher
Researched and developed large scale information retrieval, extraction, and high precision entity resolution systems operating over billions of nodes on thousands of servers.
2002 - Mar 2012
Software Engineer
Whizbang! Labs
Applied research on algorithms and frameworks for extracting information from the internet.
2000 - 2002
~2 yrs
Software Engineer
Folio Corporation
Developed and deployed information retrieval algorithms and solutions for fortune 500 corporations.
1993 - 2000
~7 yrs
1992 - 1993
~1 yr
2 education records
Lee Jensen education
Ms, Computer Science
Brigham Young University
Bs, Computer Science
Brigham Young University
FAQ
Frequently asked questions about Lee Jensen
Quick answers generated from the profile data available on this page.
What company does Lee Jensen work for?
Lee Jensen works for Brigham Young University.
What is Lee Jensen's role at Brigham Young University?
Lee Jensen is listed as Associate Professor at Brigham Young University.
What is Lee Jensen's email address?
AeroLeads has found 1 work email signal at @agilix.com for Lee Jensen at Brigham Young University.
What is Lee Jensen's phone number?
AeroLeads has found 1 phone signal(s) with area code 801 for Lee Jensen at Brigham Young University.
Where is Lee Jensen based?
Lee Jensen is based in Provo, Utah, United States while working with Brigham Young University.
What companies has Lee Jensen worked for?
Lee Jensen has worked for Brigham Young University, Agilix Labs, Inc., Domo, Inc., Ancestry.Com, and Whizbang! Labs.
How can I contact Lee Jensen?
You can use AeroLeads to view verified contact signals for Lee Jensen at Brigham Young University, including work email, phone, and LinkedIn data when available.
What schools did Lee Jensen attend?
Lee Jensen holds Ms, Computer Science from Brigham Young University.
What skills is Lee Jensen known for?
Lee Jensen is listed with skills including Machine Learning, Software Engineering, Big Data, Information Retrieval, Distributed Systems, Information Extraction, Business Intelligence, and Scalability.
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