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Thomas Pfeil Email & Phone Number

Staff AI Engineer at Tensordyne
Location: Kornwestheim, Baden-württemberg, Germany 8 work roles 2 schools
1 work email found @uni-heidelberg.de LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email t****@uni-heidelberg.de
LinkedIn Profile matched
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Current company
Role
Staff AI Engineer
Location
Kornwestheim, Baden-württemberg, Germany

Who is Thomas Pfeil? Overview

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Quick answer

Thomas Pfeil is listed as Staff AI Engineer at Tensordyne, based in Kornwestheim, Baden-württemberg, Germany. AeroLeads shows a work email signal at uni-heidelberg.de and a matched LinkedIn profile for Thomas Pfeil.

Thomas Pfeil previously worked as Staff AI Engineer at Recogni and Lead AI Engineer at Recogni. Thomas Pfeil holds Doctor Of Philosophy - Phd, Physics, Magna Cum Laude from Heidelberg University.

Company email context

Email format at Tensordyne

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{first}.{last}@uni-heidelberg.de
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AeroLeads found 1 current-domain work email signal for Thomas Pfeil. Compare company email patterns before reaching out.

Profile bio

About Thomas Pfeil

For scientific publications, see: https://scholar.google.de/citations?user=e5dO0q0AAAAJ

Listed skills include Data Analysis, Machine Learning, C++, Python, and 8 others.

Current workplace

Thomas Pfeil's current company

Company context helps verify the profile and gives searchers a useful next step.

Tensordyne
Tensordyne
Staff AI Engineer
Kornwestheim, BW, DE
Website
AeroLeads page
8 roles

Thomas Pfeil work experience

A career timeline built from the work history available for this profile.

Staff Ai Engineer

Kornwestheim, Bw, De

Staff Ai Engineer

Munich, Bavaria, Germany

Lead Ai Engineer

Munich, Bavaria, Germany

Lead of hardware-algorithm co-design. Expert for compression of deep neural networks.

Apr 2022 - Oct 2023

Research Scientist

Renningen, Baden-Württemberg, Germany

Deep Learning, Quantized Neural Networks, Network Pruning, Neural Architecture Search, Network Compression, Model-parallel Deep Learning, Parallel Computing, Neuromorphic Computing, Deep Spiking Neural Networks

Sep 2017 - Apr 2021

Research Scientist

Ibm

San Francisco Bay Area

Deep Learning, Binary Neural Networks, Quantized Neural Networks, Deep Reinforcement Learning, Knowledge Distillation, Neuromorphic Engineering, TrueNorth

Aug 2016 - Aug 2017
2 education records

Thomas Pfeil education

Doctor Of Philosophy - Phd, Physics, Magna Cum Laude

Title: Exploring the potential of brain-inspired computing Key words: Neuromorphic Engineering, Spiking Neural Networks, Machine Learning.

Diploma, Physics, 1.2 (Very Good)

Title: Configuration Strategies for Neurons and Synaptic Learning in Large-Scale Neuromorphic Hardware Systems Key words: Neuromorphic.

FAQ

Frequently asked questions about Thomas Pfeil

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

What company does Thomas Pfeil work for?

Thomas Pfeil works for Tensordyne.

What is Thomas Pfeil's role at Tensordyne?

Thomas Pfeil is listed as Staff AI Engineer at Tensordyne.

What is Thomas Pfeil's email address?

AeroLeads has found 1 work email signal at @uni-heidelberg.de for Thomas Pfeil at Tensordyne.

Where is Thomas Pfeil based?

Thomas Pfeil is based in Kornwestheim, Baden-württemberg, Germany while working with Tensordyne.

What companies has Thomas Pfeil worked for?

Thomas Pfeil has worked for Tensordyne, Recogni, Bosch Center For Artificial Intelligence (Bcai), Ibm, and Kirchhoff Institute For Physics, Heidelberg University..

How can I contact Thomas Pfeil?

You can use AeroLeads to view verified contact signals for Thomas Pfeil at Tensordyne, including work email, phone, and LinkedIn data when available.

What schools did Thomas Pfeil attend?

Thomas Pfeil holds Doctor Of Philosophy - Phd, Physics, Magna Cum Laude from Heidelberg University.

What skills is Thomas Pfeil known for?

Thomas Pfeil is listed with skills including Data Analysis, Machine Learning, C++, Python, Neuroscience, Software Development, Science, and Research.

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