Martin Gubri

Critic
DISC Type : C

Research Lead at Parameter Lab

Germany

Overview

Martin Gubri is a Research Lead at Parameter Lab, specializing in Trustworthy AI. Holding a PhD in Machine Learning from the University of Luxembourg, his research focuses on auditing the risks of black-box AI systems to enhance their safety, transparency, and accountability, particularly in Large Language Models.

He is deeply committed to digital rights and open-source principles, serving as a Board Member for Framasoft, a French non-profit that promotes digital commons. This long-standing involvement reflects a core value of leveraging technology for public good, bridging his professional expertise with community advocacy.

Unique fact: As a Ford–Mozilla Technology Exchange Fellow, he conducted studies on technologies that could potentially endanger human rights.

Personality Overview

Negotiator

Precise

Information Seeker

They are quite likely to negotiate on pricing or other key terms.  They don’t appreciate bells and whistles unless backed by data. They like to take decisions independently and do not seek others' support often.

Topics They Care About

Trustworthy AI
His entire professional focus as a Research Lead is on making AI systems more safe, transparent, and accountable through systematic testing and auditing.
AI Privacy & Security
He frequently publishes research on AI privacy leakage, model fingerprinting, and adversarial machine learning, aiming to identify and mitigate hidden security risks in AI models.
LLM Efficiency
His recent papers, such as "Dr. LLM" on dynamic layer routing, demonstrate an interest in making large language models more computationally efficient without sacrificing performance.

Media Appearances

Martin has no verified media appearances

Work History

9-2023
Research Lead at Parameter Lab
9-2019 - 8-2023
Doctoral Researcher at University of Luxembourg
10-2017 - 8-2019
Freelance Data Scientist at Self-employment
10-2015 - 9-2016
Ford–Mozilla Technology Exchange Fellow at ONG Derechos Digitales
6-2015 - 8-2015
R package development at Google Summer of Code

Education

9-2019 - 6-2023
Doctor of Philosophy - PhD from University of Luxembourg
2014 - 2015
Mastère spécialisé (Specialized Master ; Bac+6) from ENSAE Paris

More Information

Social Presence :

Prographics :

Exp : 8 Location : Germany Job Level : Middle Designation : Research Lead at Parameter Lab
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Insights For Selling To Martin

During A Call Or A Meeting

DO's

  • Be ready to answer many clarity-seeking questions and requests for information
  • Tell them what ROI they can expect
  • Use phrases like ‘expect X% improvement’, ‘data clearly shows’ etc.

DONT's

  • Avoid phrases like ‘trust me’, ‘others just love’ etc.
  • Don't give superficial answers, they are easily rattled by them
  • Don’t rush them till they have clearly gotten all the necessary information

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Martin is

  • Proof of ROI, low pricing and objective proof points are the important factors for them.
  • Will you ever get a clear answer from Martin

  • They do not mind saying no if they believe that it is the right decision.

Insights For Deal Planning

    How fast (or slow) will Martin move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can Martin take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And Martin

Personality Compatibility


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