Turning theory into practical progress
A key focus of Abiel’s PhD is refining how generative models can be guided more effectively.
“I’d love to explore how to link protein generation and flow matching guidance more closely throughout my PhD. Strengthening that connection could open up new possibilities in scientific modelling.”
For Abiel, impact lies in both clarity and usability.
“Research feels impactful when it improves the efficiency of existing methods while remaining practical in real-world settings, or when it deepens the underlying theory in a way that sharpens intuition and understanding.”
Looking beyond academia, he hopes his work will translate into applied scientific progress.
“Ultimately, I’d like to see this research adopted by scientific companies, powering more efficient drug discovery and molecule generation pipelines.”
His research philosophy can be summarised in one word: intuitive – ensuring that strong theory leads to clearer understanding rather than added complexity.
Learning alongside a global cohort
Being selected for the G-Research NextGen programme has broadened Abiel’s experience beyond his immediate research environment.
“NextGen has given me the opportunity to connect with highly motivated PhD students from around the world, attend enriching G-Research events and benefit from biannual mentoring sessions with a quant.”
He’s particularly looking forward to the Spring into Quant Finance Week, as a chance to see how advanced research is applied in rigorous, real-world contexts.
