Lucas De Vries
AeroLeads people directory · profile

Lucas De Vries Email & Phone Number

Machine Learning Engineer at Nicolab
Location: Amsterdam, North Holland, Netherlands 10 work roles 3 schools
LinkedIn matched
✓ Verified July 2026 3 data sources Profile completeness 100%

Contact Signals

LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Machine Learning Engineer
Location
Amsterdam, North Holland, Netherlands
Company size

Who is Lucas De Vries? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Lucas De Vries is listed as Machine Learning Engineer at Nicolab, a with 47 employees, based in Amsterdam, North Holland, Netherlands. AeroLeads shows a matched LinkedIn profile for Lucas De Vries.

Lucas De Vries previously worked as PhD Candidate Deep Learning for Neuroradiology at Amsterdam Umc and Machine Learning Engineer Intern at Nicolab. Lucas De Vries holds Master'S Degree, Physics And Astronomy: Gravitation, Astro-, And Particle Physics, 8.5 from Universiteit Van Amsterdam.

Company email context

Email format at Nicolab

This section adds company-level context without repeating Lucas De Vries's masked contact details.

Nicolab

Review company-level records connected to Lucas De Vries before choosing the right outreach path.

Profile bio

About Lucas De Vries

Lucas De Vries is a Machine Learning Engineer at Nicolab. He possess expertise in python, r, latex, microsoft excel, matlab.

Listed skills include Python, R, Latex, Microsoft Excel, and 1 others.

Current workplace

Lucas De Vries's current company

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

Nicolab
Nicolab
Machine Learning Engineer
Amsterdam, NH, NL
Website
Employees
47
AeroLeads page
10 roles

Lucas De Vries work experience

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

Machine Learning Engineer

Amsterdam, Nh, Nl

Phd Candidate Deep Learning For Neuroradiology

Current

Amsterdam, Noord-Holland, Nederland

PhD Candidate at Amsterdam UMC and the University of Amsterdam. I research the application of computer vision/deep learning algorithms to process high-dimensional (3D+time) CT perfusion data for treatment decision support for patients suffering from an acute ischemic stroke.

Dec 2020 - Present

Machine Learning Engineer Intern

Amsterdam, Noord-Holland, Nederland

Jan 2024 - Apr 2024

Research Internship

Amsterdam En Omgeving, Nederland

Research internship at Nikhef (National Institute for Subatomic Physics) as a member of the dark matter research group. I conducted a research project applying Deep Neural Networks to XENON1T, a leading direct detection dark matter experiment. In this work, I developed a new algorithm that improves the vertex position reconstruction, one of the experiment's core algorithms, significantly. In addition, I developed another algorithm that extends the experimental reach in the low-energy domain, an important global research area with favourable prospects for a future publication. The work may be applicable to other analyses in this field of research as well. Grade: 9/10.

Sep 2019 - Jul 2020

Startup Business Developer & Advisor

Amsterdam En Omgeving, Nederland

Jun 2016 - Dec 2019

Research Internship

Amsterdam En Omgeving, Nederland

Research internship at the Computational Intelligence Group of the Department of Computer Science (VU Amsterdam). My thesis 'Evolving Neural Networks for Real-Time Object Recognition' presents an evolutionary approach to obtain deep neural networks with acceptable accuracy for real-time object recognition on low-performance computing hardware. Accepted as a paper to the 2019 IEEE Symposium Series on Computational Intelligence. Grade: 8.5/10.Publication:Gongjin Lan, Lucas De Vries, and Shuai Wang, Evolving neural network for real-time object recognition, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2019. DOI: 10.1109/SSCI44817.2019.9002863

Apr 2018 - Jul 2018

Bachelor Thesis

Utecht

Performing a spectral analysis on X-ray data to detect highly ionized outflows from the inner regions of supermassive black holes. Grade: 8/10.

Apr 2017 - Jul 2017
Team & coworkers

Colleagues at Nicolab

Other employees you can reach at nico-lab.com. View company contacts for 47 employees →

3 education records

Lucas De Vries education

FAQ

Frequently asked questions about Lucas De Vries

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

What company does Lucas De Vries work for?

Lucas De Vries works for Nicolab.

What is Lucas De Vries's role at Nicolab?

Lucas De Vries is listed as Machine Learning Engineer at Nicolab.

Where is Lucas De Vries based?

Lucas De Vries is based in Amsterdam, North Holland, Netherlands while working with Nicolab.

What companies has Lucas De Vries worked for?

Lucas De Vries has worked for Nicolab, Amsterdam Umc, Nikhef (Nationaal Instituut Voor Subatomaire Fysica), Knappekoppen Amsterdam, and Vu Amsterdam.

Who are Lucas De Vries's colleagues at Nicolab?

Lucas De Vries's colleagues at Nicolab include Kylie Westren, Mart Van Blokland, Suzan Vreemann, Pim De La Fuente, and Tirth Gefford Kevi Dharmdas.

How can I contact Lucas De Vries?

You can use AeroLeads to view verified contact signals for Lucas De Vries at Nicolab, including work email, phone, and LinkedIn data when available.

What schools did Lucas De Vries attend?

Lucas De Vries holds Master'S Degree, Physics And Astronomy: Gravitation, Astro-, And Particle Physics, 8.5 from Universiteit Van Amsterdam.

What skills is Lucas De Vries known for?

Lucas De Vries is listed with skills including Python, R, Latex, Microsoft Excel, and Matlab.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.

People with similar names

Check these profiles if this is not the Lucas De Vries you were looking for.

View similar profiles