Analytical work across neurobiology, connectomics, data science, and scientific operations.
My background combines neurobiology, bioinformatics, data analysis, scientific operations, and education. I work across experimental biology, connectomics, large-scale data analysis, Python-based computational workflows, machine learning, researcher support, and teaching. This portfolio organises my work by the main areas I contribute to.
Work involving data analysis, statistical modeling, machine learning, graph-based analysis, scientific computing, and large-scale research workflows.
→ View sectionResearch and methodological experience across neurobiology, connectomics, microscopy, immunofluorescence, molecular methods, animal models, and biological experimentation.
→ View sectionExperience supporting research environments and data-driven operations, including scientific infrastructure, lab logistics, researcher support, KPI tracking, and systems coordination.
→ View sectionExperience teaching, mentoring, training, and communicating scientific and computational ideas to students, researchers, and the public.
→ View sectionA focused collection of selected projects, including computational case studies, optimisation work, algorithmic explorations, and independent tools or prototypes.
→ View sectionA concise overview of my background, education, technical and scientific experience, selected courses, CV, and contact information.
→ View sectionWork involving data analysis, statistical modeling, machine learning, graph-based analysis, scientific computing, and large-scale research workflows.
02 · Life SciencesResearch and methodological experience across neurobiology, connectomics, microscopy, immunofluorescence, molecular methods, animal models, and biological experimentation.
03 · OperationsExperience supporting research environments and data-driven operations, including scientific infrastructure, lab logistics, researcher support, KPI tracking, and systems coordination.
04 · Teaching & CommunicationExperience teaching, mentoring, training, and communicating scientific and computational ideas to students, researchers, and the public.
05 · Selected ProjectsA focused collection of selected projects, including computational case studies, optimisation work, algorithmic explorations, and independent tools or prototypes.
06 · BioA concise overview of my background, education, technical and scientific experience, selected courses, CV, and contact information.