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Meet the NextGen scholars: Théo

30 September 2026
  • NextGen

Welcome back to Meet the Scholars – a blog series celebrating the talented students supported by G-Research scholarships. These awards form a key part of our NextGen initiative, which is dedicated to nurturing the next generation of researchers in STEM and AI/Machine Learning (ML).

These stories spotlight the individuals shaping the future of research: their academic journeys, areas of focus and what the opportunity means to them. In this edition, we meet Théo, who is studying for his PhD at University College London.

One thing that bothers me typically is that when you talk to ChatGPT about a typical topic, you cannot rely on it. Its answer is not reliable. How do you close that gap? The focus of my research is to try to find ways to make systems more reliable. For now, I'm studying formal logic, which is partly about what's the truth, what does it mean to be reliable, what does correct information mean? If you have an AI that is medical assistance, you don't want it to have any doubts. If a part of the reasoning is just merely false, the whole reasoning falls apart. The Jule Such Scholarship is invaluable to me because it provides me the full freedom to focus on my research 100% of the time. I aim ultimately to develop a new technology to make systems more reliable and start a company that will hopefully bring that technology to life.
Open video transcript

Théo’s journey so far

“I am a recently graduated Engineer in Applied Mathematics from École Polytechnique in France.”

Théo’s academic path has been driven by an interest in how different areas of mathematics and computer science can be brought together to advance artificial intelligence.

“I will begin a PhD at UCL to study how statistical learning, formal logic and the intuitive capacities of large language models can be combined to develop AI systems capable of reasoning.”

From theory to real-world systems

As he begins his PhD, Théo is focused on bridging foundational research with practical application.

“One concept I’d love to explore further is how to quantify uncertainty in AI model predictions, and what that means for deploying these systems in industry.”

For Théo, research impact is closely tied to usability and real-world value.

“Impact means taking an idea all the way from concept to a concrete, useful and commercially viable technology.”

Looking ahead, he hopes to build on this work beyond academia.

“My long-term goal is to found a company based on the technology I develop during my PhD.”

Opening doors through NextGen

Théo sees the G-Research Scholarship as both an opportunity and a responsibility.

“I’m very grateful for the trust this scholarship represents, as well as the independence and freedom it gives me to focus fully on my research over the next four years.”

He is particularly looking forward to engaging with the wider research community.

“I’m excited about the opportunity to attend international conferences, meet leading researchers and industry experts, and conduct real-scale experiments.”

What is G-Research NextGen?

With a mission to solve the world’s most complex challenges, we’re committed to shaping the future of research and innovation.

Through G-Research NextGen we will work with academic partners, educational organisations and charities to help support the next generation of STEM talent.

Learn more

Quickfire with Théo

Favourite way to unwind?

An intense tennis session.

One concept you’d like to explore more deeply?

Quantifying uncertainty in AI model predictions and understanding its implications for industry.

One word to describe your research philosophy?

Multidisciplinary.

What does research impact mean to you?

Turning ideas into useful, commercially viable technologies.

Your aspiration beyond the PhD?

To found a company based on the research I develop.

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