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Thomas Pingel Email & Phone Number
Associate Professor
at
Virginia Tech
1 work email found
@vt.edu
LinkedIn matched
✓ Verified Jun 2026
3 data sources
Profile completeness 86%
Who is Thomas Pingel? Overview
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Quick answer
Thomas Pingel is listed as Associate Professor at Virginia Tech, based in Binghamton, New York, United States. AeroLeads shows a work email signal at vt.edu and a matched LinkedIn profile for Thomas Pingel.
Company email context
Email format at Virginia Tech
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{first_initial}{last}@vt.edu
86% confidence
AeroLeads found 1 current-domain work email signal for Thomas Pingel. Compare company email patterns before reaching out.
Profile bio
About Thomas Pingel
Thomas Pingel is a Associate Professor at Virginia Tech. He possess expertise in geographic information systems, geospatial modeling, scientific computing, data science, arcgis and 28 more skills. He is proficient in Spanish.
Listed skills include Geographic Information Systems, Geospatial Modeling, Scientific Computing, Data Science, and 29 others.
Current workplace
Thomas Pingel's current company
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1 role
Thomas Pingel work experience
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Associate Professor
FAQ
Frequently asked questions about Thomas Pingel
Quick answers generated from the profile data available on this page.
What company does Thomas Pingel work for?
Thomas Pingel works for Virginia Tech.
What is Thomas Pingel's role at Virginia Tech?
Thomas Pingel is listed as Associate Professor at Virginia Tech.
What is Thomas Pingel's email address?
AeroLeads has found 1 work email signal at @vt.edu for Thomas Pingel at Virginia Tech.
Where is Thomas Pingel based?
Thomas Pingel is based in Binghamton, New York, United States while working with Virginia Tech.
What companies has Thomas Pingel worked for?
Thomas Pingel has worked for Virginia Tech.
How can I contact Thomas Pingel?
You can use AeroLeads to view verified contact signals for Thomas Pingel at Virginia Tech, including work email, phone, and LinkedIn data when available.
What skills is Thomas Pingel known for?
Thomas Pingel is listed with skills including Geographic Information Systems, Geospatial Modeling, Scientific Computing, Data Science, Arcgis, Lidar, Python, and Matlab.
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