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Scott Beamer Email & Phone Number
Associate Professor
at
University of California, Santa Cruz
1 work email found
@berkeley.edu
2 phones found area 510
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Associate Professor
Location
Santa Cruz, California, United States
Who is Scott Beamer? Overview
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Quick answer
Scott Beamer is listed as Associate Professor at University of California, Santa Cruz, based in Santa Cruz, California, United States. AeroLeads shows a work email signal at berkeley.edu, phone signal with area code 510, and a matched LinkedIn profile for Scott Beamer.
Scott Beamer previously worked as Assistant Professor at University Of California, Santa Cruz and Postdoctoral Fellow at Berkeley Lab. Scott Beamer holds Ph.D., Computer Science from University Of California, Berkeley.
Company email context
Email format at University of California, Santa Cruz
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{first_initial}{last}@berkeley.edu
86% confidence
AeroLeads found 1 current-domain work email signal for Scott Beamer. Compare company email patterns before reaching out.
Profile bio
About Scott Beamer
I design architectures for data-intensive applications, with a focus on improving communication efficiency. I am interested in: computer architecture, data movement optimization, memory interconnects, open-source hardware design, and graph algorithms.scottbeamer.net
Listed skills include Python, Latex, Openmp, Machine Learning, and 8 others.
Current workplace
Scott Beamer's current company
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University Of California, Santa Cruz
AeroLeads page
10 roles
Scott Beamer work experience
A career timeline built from the work history available for this profile.
Aug 2018 - Present
Sep 2016 - Aug 2018
Graduate Student Researcher
Advised by Krste Asanović and David Patterson
Aug 2007 - Aug 2016
Jun 2007 - Aug 2007
Research Intern
Researched mobile energy modeling, mobile energy management, and architectural implications of phase-change memory.
May 2010 - Aug 2010
May 2008 - Aug 2008
Summer Researcher
Designed and implemented a binary translator from compiled Java bytecodes to the Fresh Breeze (research multiprocessor) Instruction Set.
Jun 2006 - Aug 2006
Test Engineering Intern
Designed and implemented test cases and utilities for automated testing of a web-based application. Earned Cisco Achievement Program (CAP) Award.
Jun 2005 - Aug 2005
Intern
Helped support a Network Management lab with a wide variety of Cisco hardware. Earned CCNA in spare time.
Jun 2004 - Aug 2004
3 education records
Scott Beamer education
Ph.D., Computer Science
M.S., Computer Science
B.S., Electrical Engineering And Computer Science
FAQ
Frequently asked questions about Scott Beamer
Quick answers generated from the profile data available on this page.
What company does Scott Beamer work for?
Scott Beamer works for University of California, Santa Cruz.
What is Scott Beamer's role at University of California, Santa Cruz?
Scott Beamer is listed as Associate Professor at University of California, Santa Cruz.
What is Scott Beamer's email address?
AeroLeads has found 1 work email signal at @berkeley.edu for Scott Beamer at University of California, Santa Cruz.
What is Scott Beamer's phone number?
AeroLeads has found 2 phone signal(s) with area code 510 for Scott Beamer at University of California, Santa Cruz.
Where is Scott Beamer based?
Scott Beamer is based in Santa Cruz, California, United States while working with University of California, Santa Cruz.
What companies has Scott Beamer worked for?
Scott Beamer has worked for University Of California, Santa Cruz, Berkeley Lab, University Of California, Berkeley, Nokia, and Google.
How can I contact Scott Beamer?
You can use AeroLeads to view verified contact signals for Scott Beamer at University of California, Santa Cruz, including work email, phone, and LinkedIn data when available.
What schools did Scott Beamer attend?
Scott Beamer holds Ph.D., Computer Science from University Of California, Berkeley.
What skills is Scott Beamer known for?
Scott Beamer is listed with skills including Python, Latex, Openmp, Machine Learning, Breadth First Search, Numpy, Parallel Programming, and Hadoop.
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