Computational Biology Researcher working across comparative genomics, cancer genomics and evolutionary genomics — using computational approaches to investigate biological conservation, mutation and function.
From sequence-level evidence to evolutionary interpretation — with an emphasis on reproducibility, biological reasoning and clear scientific communication.
My work sits at the intersection of biological sequence analysis, evolutionary reasoning and computational research. I am particularly interested in questions where comparative evidence can reveal functional constraint and biological significance.
My research interests span comparative genomics, cancer genomics and evolutionary genomics, with an emphasis on reproducible computational workflows and evidence-driven interpretation.
I am interested not only in obtaining computational results, but in understanding what those results mean biologically — and communicating them clearly to researchers, collaborators and scientific audiences.
Poster presenter and conference volunteer at ECCB 2026 — combining scientific communication, research networking and practical conference experience.
Poster research examining the evolutionary conservation and functional constraints surrounding TP53 mutation hotspots across mammalian species, connecting comparative sequence evidence with cancer-associated mutation patterns.
Presenting the TP53 research during the dedicated ECCB poster session and discussing the work with researchers and attendees.
Supporting conference operations, participant guidance, session-related activities and the smooth running of the scientific programme.
Engaging directly with researchers, speakers, presenters and the wider computational biology community.
A selection of research directions and computational work focused on extracting biologically meaningful evidence from genomic data.
Comparative investigation of TP53 mutation hotspots across mammalian species, with emphasis on evolutionary conservation and functional constraint.
Computational analysis of cancer-associated mutations and their relationship to conserved genomic regions and biological function.
Building transparent computational workflows that connect sequence-level analysis, statistical evaluation and biological interpretation.
Selected analysis snapshot from the TP53 comparative genomics project.
The TP53 project investigates whether cancer-associated mutation hotspots exhibit stronger evolutionary conservation than surrounding regions. The analysis combines comparative sequence data with human cancer mutation information to examine the relationship between evolutionary constraint and mutation susceptibility.
6/6 hotspots showed conservation across the analysed mammalian sequences.
Mean hotspot conservation was approximately 1.000, compared with approximately 0.934 for the selected DBD controls.
Direct access to scientific outputs and the code behind selected computational projects.
Comparative evolutionary analysis of recurrent human TP53 cancer mutation hotspots across 56 mammalian species.
GIAB-benchmarked WGS variant-calling workflow with documented validation and computational outputs.
Scientific work also means presenting evidence, communicating ideas, collaborating with people and contributing to the environments in which research happens.
Presenting research on evolutionary conservation and functional constraints of TP53 mutation hotspots across mammalian species.
Supporting the organisation and participant experience of a major European computational biology conference, including conference-floor and session-related responsibilities.
Developing and validating computational approaches for genomic research, with particular interest in comparative and evolutionary interpretation.
ECCB volunteering is presented here as practical experience in scientific conference operations, communication and participant support.
Supporting scientific sessions and helping maintain a smooth experience for speakers, presenters and attendees.
Helping participants navigate the conference environment, schedules and venue-related logistics.
Supporting poster-area operations while simultaneously participating as a scientific poster presenter.
I am interested in connecting with researchers, computational biologists, bioinformaticians and scientific teams working on genomics, cancer biology, evolutionary biology and related computational questions.