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Bart Gips Email & Phone Number

Lead AI scientist - Manager at AMD Silo AI
Location: Amsterdam, North Holland, Netherlands 6 work roles 3 schools
1 work email found @machine2learn.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email b****@machine2learn.com
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Current company
Role
Lead AI scientist - Manager
Location
Amsterdam, North Holland, Netherlands
Company size

Who is Bart Gips? Overview

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Quick answer

Bart Gips is listed as Lead AI scientist - Manager at AMD Silo AI, a company with 98 employees, based in Amsterdam, North Holland, Netherlands. AeroLeads shows a work email signal at machine2learn.com and a matched LinkedIn profile for Bart Gips.

Bart Gips previously worked as Lead AI scientist at Silo Ai and Project manager, ML developer at Machine2Learn. Bart Gips holds Master Of Science (M.Sc.), Cognitive Neuroscience from Radboud University Nijmegen.

Company email context

Email format at AMD Silo AI

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{first}@machine2learn.com
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AeroLeads found 1 current-domain work email signal for Bart Gips. Compare company email patterns before reaching out.

Profile bio

About Bart Gips

A Scientist with a quantitative background and a great interest in statistical modelling and machine learning in general.I have a background in computational neuroscience and machine perception and performance estimation in (underwater) robotics.I am passionate about designing and developing state-of-the-art machine learning methods, as well as applying them to real world problems.

Listed skills include Data Analysis, Neuroscience, Science, Scientific Writing, and 7 others.

Current workplace

Bart Gips's current company

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AMD Silo AI
Amd Silo Ai
Lead AI scientist - Manager
Amsterdam, NH, NL
Website
Employees
98
AeroLeads page
6 roles

Bart Gips work experience

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

Lead Ai Scientist - Manager

Amsterdam, NH, NL

Lead Ai Scientist

Current

Amsterdam Area

Sep 2023 - Present

Project Manager, Ml Developer

Amsterdam Area

Aug 2022 - Sep 2023

Phd Candidate

Under supervision of Professors Jan van der Eerden, Ole Jensen and David NorrisUsing computer simulation as well as advanced data analysis techniques to investigate which plausible networks of neurons can explain signals measured with local field electrodes or magneto-encephalography (MEG) and electro-encephalography(EEG).

Sep 2012 - Jul 2017
Team & coworkers

Colleagues at AMD Silo AI

Other employees you can reach at silo.ai. View company contacts for 98 employees →

3 education records

Bart Gips education

Education record

Stedelijk Gymnasium Nijmegen
FAQ

Frequently asked questions about Bart Gips

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

What company does Bart Gips work for?

Bart Gips works for AMD Silo AI.

What is Bart Gips's role at AMD Silo AI?

Bart Gips is listed as Lead AI scientist - Manager at AMD Silo AI.

What is Bart Gips's email address?

AeroLeads has found 1 work email signal at @machine2learn.com for Bart Gips at AMD Silo AI.

Where is Bart Gips based?

Bart Gips is based in Amsterdam, North Holland, Netherlands while working with AMD Silo AI.

What companies has Bart Gips worked for?

Bart Gips has worked for Amd Silo Ai, Silo Ai, Machine2Learn, Nato Sto-Cmre - Centre For Maritime Research And Experimentation, and Donders Institute For Brain, Cognition And Behaviour, Centre For Cognitive Neuroimaging.

Who are Bart Gips's colleagues at AMD Silo AI?

Bart Gips's colleagues at AMD Silo AI include Mohsen Saffari, Jussi Elo, Jussi Karlgren, Teppo Lindberg, and Jaakko Toivonen.

How can I contact Bart Gips?

You can use AeroLeads to view verified contact signals for Bart Gips at AMD Silo AI, including work email, phone, and LinkedIn data when available.

What schools did Bart Gips attend?

Bart Gips holds Master Of Science (M.Sc.), Cognitive Neuroscience from Radboud University Nijmegen.

What skills is Bart Gips known for?

Bart Gips is listed with skills including Data Analysis, Neuroscience, Science, Scientific Writing, Matlab, Computational Neuroscience, Statistics, and Research.

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