Martin Gubri
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Martin Gubri Email & Phone Number

Research Lead and Postdoctoral Researcher at Parameter Lab
Location: Germany, Germany, Germany 9 work roles 6 schools
1 work email found @parameterlab.de LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Work email m****@parameterlab.de
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Current company
Role
Research Lead and Postdoctoral Researcher
Location
Germany, Germany, Germany
Company size

Who is Martin Gubri? Overview

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Quick answer

Martin Gubri is listed as Research Lead and Postdoctoral Researcher at Parameter Lab, a company with 9 employees, based in Germany, Germany, Germany. AeroLeads shows a work email signal at parameterlab.de and a matched LinkedIn profile for Martin Gubri.

Martin Gubri previously worked as Research Lead / Postdoctoral Researcher at Parameter Lab and Doctoral Researcher at University Of Luxembourg. Martin Gubri holds Doctor Of Philosophy - Phd, Computer Science from University Of Luxembourg.

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Email format at Parameter Lab

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{first}.{last}@parameterlab.de
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Profile bio

About Martin Gubri

Martin Gubri is a Research Lead and Postdoctoral Researcher at Parameter Lab. He possess expertise in data science, statistics, data analysis, machine learning, spatial econometrics and 36 more skills. He is proficient in English and Spanish.

Listed skills include Data Science, Statistics, Data Analysis, Machine Learning, and 37 others.

Current workplace

Martin Gubri's current company

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Parameter Lab
Parameter Lab
Research Lead and Postdoctoral Researcher
Germany
Website
Employees
9
AeroLeads page
9 roles

Martin Gubri work experience

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

Research Lead And Postdoctoral Researcher

Germany

Research Lead / Postdoctoral Researcher

Current

Tübingen, Baden-Württemberg, Germany

Research lead at Parameter Lab with a focus on trustworthy AI.

Sep 2023 - Present

Doctoral Researcher

Luxembourg

PhD Candidate in the SerVal research group, University of Luxembourg. Research interests in adversarial machine learning, focusing on the transferability of adversarial examples.

Sep 2019 - Aug 2023

Freelance Data Scientist

Self-Employment

Bordeaux Area, France

Freelance working on Machine Learning, Data Analysis, Sampling design, Data Visualization, Big Data & Web Scraping for a variety of business areas. Independent Researcher on ML Security between contracts.Examples of contracts:- Design and automatic generation of data visualizations (Human Resource)- Elaboration of a complex Statistical Sampling Design to.

Oct 2017 - Aug 2019

Ford–Mozilla Technology Exchange Fellow

Chili

Mozilla/Ford Foundation Tech Fellowship in the Tech/Research and Policy team of the NGO.Conduct studies related to technologies potentially dangerous for Human Rights, develop data analysis and scientific research, and carry out security and privacy workshops.

Oct 2015 - Sep 2016

R Package Development

Google Summer Of Code

Selected to participate in the Google Summer of Code 2015 for the R foundation.Development tasks: Implement state-of-the-art predictors for Spatial Regression Models in spdep, the main R package for Spatial Statistics.Mentored by Roger Bivand & Giovanni Millo.Find more: https://github.com/rstats-gsoc/gsoc2015/wiki/Predict-methods-for-spatial-econometrics &.

Jun 2015 - Aug 2015

Junior Researcher In Spatial Econometrics

Région De Paris, France

Development and implementation of statistical models in order to improve out-of-sample prediction of a new point of sales.The goal is to extend the uses of gravity models (with and without independent hypothesis) to business cases. We also compare prediction performances of these models.

Jun 2014 - Apr 2015

Data Analyst

Internship - Development of a personal project called "Measure Net Neutrality"

Jun 2013 - Aug 2013

Internship

Creation of Framazic, a website to promote and analyse Free MusicFrench translation of Ethercalc

Jun 2012 - Aug 2012
6 education records

Martin Gubri education

Doctor Of Philosophy - Phd, Computer Science

The PhD thesis is titled "What Matters in Model Training to Transfer Adversarial Examples".

Mastère Spécialisé (Specialized Master ; Bac+6), Data Science, With High Honors

Final grade: 15.58 / 20 Projects: - Parallel Implementation of K-means using PIG (Hadoop, PIG, Python) - Statistical Network Analysis of.

Master'S Degree, Statistics And Econometrics, With Highest Honor

Head of the class (1st / 28). Final grade: 16.736 / 20 Projects : - Statistical Consulting for BVA : Advanced Econometric Analysis of the.

Magistère, Economics And Statistics, With Highest Honor

Toulouse School Of Economics And Paul Sabatier University

Rank : 3rd / 16 Final grade: 16.176 / 20

Classe Préparatoire (Cpge - Intensive General Program For Top Schools), Humanities, Social Sciences And Mathematics

Lycée Montaigne, Bordeaux

Hypokhâgne/Khâgne B/L Two very intensive years to prepare competitive exams of some "grandes écoles"

FAQ

Frequently asked questions about Martin Gubri

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

What company does Martin Gubri work for?

Martin Gubri works for Parameter Lab.

What is Martin Gubri's role at Parameter Lab?

Martin Gubri is listed as Research Lead and Postdoctoral Researcher at Parameter Lab.

What is Martin Gubri's email address?

AeroLeads has found 1 work email signal at @parameterlab.de for Martin Gubri at Parameter Lab.

Where is Martin Gubri based?

Martin Gubri is based in Germany, Germany, Germany while working with Parameter Lab.

What companies has Martin Gubri worked for?

Martin Gubri has worked for Parameter Lab, University Of Luxembourg, Self-Employment, Ong Derechos Digitales, and Google Summer Of Code.

How can I contact Martin Gubri?

You can use AeroLeads to view verified contact signals for Martin Gubri at Parameter Lab, including work email, phone, and LinkedIn data when available.

What schools did Martin Gubri attend?

Martin Gubri holds Doctor Of Philosophy - Phd, Computer Science from University Of Luxembourg.

What skills is Martin Gubri known for?

Martin Gubri is listed with skills including Data Science, Statistics, Data Analysis, Machine Learning, Spatial Econometrics, Gravity Models, R, and Python.

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