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Alex Storer Email & Phone Number
Director of Data, Analytics and Research Computing
at
Stanford University Graduate School of Business
1 work email found
@stanford.edu
5 phones found area 408, 832, and 650
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Director of Data, Analytics and Research Computing
Location
San Jose, California, United States
Who is Alex Storer? Overview
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Quick answer
Alex Storer is listed as Director of Data, Analytics and Research Computing at Stanford University Graduate School of Business, based in San Jose, California, United States. AeroLeads shows a work email signal at stanford.edu, phone signal with area code 408, 832, 650, and a matched LinkedIn profile for Alex Storer.
Alex Storer previously worked as Research Analytics Consultant at Stanford Graduate School Of Business and Adjunct Instructor - “Programming for Data Analysis” (OIT 537) at Stanford University Graduate School Of Business. Alex Storer holds Phd, Cognitive And Neural Systems from Boston University.
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Email format at Stanford University Graduate School of Business
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{first_initial}{last}@stanford.edu
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Profile bio
About Alex Storer
Alex Storer is a Director of Data, Analytics and Research Computing at Stanford University Graduate School of Business. He possess expertise in machine learning, python, data analysis, matlab, programming and 15 more skills.
Listed skills include Machine Learning, Python, Data Analysis, Matlab, and 16 others.
Current workplace
Alex Storer's current company
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Stanford University Graduate School Of Business
Website
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7 roles
Alex Storer work experience
A career timeline built from the work history available for this profile.
Director Of Data, Analytics And Research Computing
Research Analytics Consultant
- Serve as consultant for faculty at the Graduate School of Business, providing support for data acquisition, management and manipulation. Also support development of research infrastructure, study design, training and.
- Designed and supported cloud infrastructure and hybrid cloud analytics pipelines to query terabyte-scale datasets, interfacing between Presto, Impala, Spark, R, Stata and Python
- Developed custom tools to collect data using a wide array of tools, including Qualtrics surveys with Javascript manipulations, full-stack web applications, and Matlab GUIs
- Extended and maintained a Python based tool to create and manage private clusters of EC2 instances on Amazon Web Services
- Created interactive tools for data visualization and exploration using R and Shiny
- Worked with faculty and graduate students to develop and optimize analytics pipelines for research across on premise, cloud and high-performance environments
Adjunct Instructor - “Programming For Data Analysis” (Oit 537)
“Programming for Data Analysis”, co-taught with Guido ImbensDeveloped Curriculum for MBA students introducing R and SQLRecorded video lectures for “flipped” format, led lab sessions
Oct 2014 - Feb 2015
Research Technology Consultant
- Worked as short-term consultant for researchers in social sciences across Harvard University, providing support online and in person for technology and statistics needs. Interfaced with professors, graduate students.
- Optimized software routines in R and Matlab to perform orders of magnitude faster
- Programmed and deployed experiments on Amazon Web Services
- Developed open source tools to index large corpora to facilitate text analysis
- Wrote web scrapers to create convenient datasets from online materials
- Performed trainings on programming, web scraping and using data from APIs
Aug 2011 - Dec 2013
Virtual Environment Programmer
- Developed software in Python to collect data from infrared trackers and position an anatomically correct virtual arm displayed using a head mounted display.
- Collected EEG data and developed tools to identify arm and leg movements by applying an ensemble of temporally-offset classifiers.
- Reviewed academic literature, designed experimental paradigms and developed materials for grants and white papers.
- Developed models for relational databases
Sep 2010 - Aug 2011
Programmer
Worked with a team of psychologists to develop data processing scripts and analysis methods in Matlab to process eye-tracking, pupilometry and reaction time data from subjects with Williams Syndrome and normal controls.
May 2009 - Dec 2009
2 education records
Alex Storer education
Phd, Cognitive And Neural Systems
Ba/Bs, Electrical Engineering And Computer Science, Cognitive Science
FAQ
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Quick answers generated from the profile data available on this page.
What company does Alex Storer work for?
Alex Storer works for Stanford University Graduate School of Business.
What is Alex Storer's role at Stanford University Graduate School of Business?
Alex Storer is listed as Director of Data, Analytics and Research Computing at Stanford University Graduate School of Business.
What is Alex Storer's email address?
AeroLeads has found 1 work email signal at @stanford.edu for Alex Storer at Stanford University Graduate School of Business.
What is Alex Storer's phone number?
AeroLeads has found 5 phone signal(s) with area code 408, 832, 650 for Alex Storer at Stanford University Graduate School of Business.
Where is Alex Storer based?
Alex Storer is based in San Jose, California, United States while working with Stanford University Graduate School of Business.
What companies has Alex Storer worked for?
Alex Storer has worked for Stanford University Graduate School Of Business, Stanford Graduate School Of Business, Harvard University, Brandeis University, and Boston University Medical School.
How can I contact Alex Storer?
You can use AeroLeads to view verified contact signals for Alex Storer at Stanford University Graduate School of Business, including work email, phone, and LinkedIn data when available.
What schools did Alex Storer attend?
Alex Storer holds Phd, Cognitive And Neural Systems from Boston University.
What skills is Alex Storer known for?
Alex Storer is listed with skills including Machine Learning, Python, Data Analysis, Matlab, Programming, Mathematical Modeling, Algorithms, and Statistics.
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