Science With George - Personal Portfolio Website

Hi, I'm George.

I'm a biomedical researcher with an MRes in Biomedical Sciences (Distinction) from the University of Glasgow and a First Class BSc from the University of Dundee. My work lives at the intersection of pharmacological experimentation and computational modelling — from characterising novel GPCR antagonists in the lab to applying machine learning models for genomic prediction.

Distinction
Research Projects

Russell Group
Universities

Years Research
Experience

Turning Science Into Discovery

I'm Georgios (George) Sergidis — a biomedical scientist who believes the most interesting questions in drug discovery live at the boundary between the bench and the computer. My MRes (Distinction) at the University of Glasgow and First Class BSc from the University of Dundee have given me a foundation in both rigorous experimental science and quantitative data analysis.

What drives me is the essential synergy between experimental precision and computational modelling. Whether I'm profiling pharmacological antagonists using HTRF-based cAMP assays, running molecular dynamics simulations, or evaluating machine learning tools for genomic prediction — I bring the same commitment to methodological rigour. I'm actively seeking PhD opportunities where I can push these approaches further, and I'm always open to conversations about science.

What I Do

Molecular Biology & PCR

Pharmacological Assays

Tissue Culture

Python & Bioinformatics

Molecular Docking

Data Analysis & R

Let's Collaborate

Novel Ligands for GPR84

MRes research (Distinction) at the University of Glasgow under Prof. Graeme Milligan. Characterised five tricyclic GPR84 antagonists through HTRF-based cAMP assays and structure-activity relationship (SAR) analysis, establishing Cpd-321 as the most potent competitive antagonist (pA₂ = 7.3). Integrated 1 μs molecular dynamics simulations with ensemble docking to identify antagonist-compatible receptor conformations — achieving AUROC = 0.77 for structure-based virtual screening validation.

Pharmacology Drug Discovery Distinction

Plasmid Purification & Column Optimisation

MRes research (Distinction) at the University of Glasgow under Dr. Emanuele Conte. Developed and validated an optimised protocol for plasmid DNA purification through RNA depletion and sustainable silica column regeneration — demonstrating that precision and rigorous quality assurance can meaningfully reduce laboratory waste and cost without compromising yield.

Lab Methods Sustainability Distinction

ML Models for Alternative Splicing

BSc Honours project at the University of Dundee under Dr. Gabriele Schweikert. Conducted a comprehensive literature review evaluating seven machine learning tools — including SpliceAI and MTSplice — for predicting alternative splicing outcomes from genomic sequence data. Assessed each tool for disease relevance, generalisability, and scalability, with implications for precision medicine and gene therapy target identification.

Machine Learning Genomics Python

Bioinformatics Internship — CING

Summer internship at the Cyprus Institute of Neurology & Genetics (Jun–Aug 2023). Applied text mining techniques to systematically extract genomic and phenotypic data from published research literature, contributing to the department's ongoing efforts to curate disease-associated gene networks and variant databases.

Bioinformatics Data Mining Genomics

Clinical Microbiology Lab

Lab assistant at the Military Hospital, National Guard of Cyprus (Nov 2019–Sep 2020). Supported daily microbiology operations and contributed to a retrospective cohort analysis of military personnel health based on longitudinal laboratory test results — an early exposure to data-driven clinical science.

Clinical Lab Data Analysis Microbiology

Computational Biology Toolkit

Spanning Python for data analysis and machine learning, R for statistical modelling and GWAS, molecular docking (AutoDock Vina), molecular dynamics (AMBER20/CHARMM-GUI), and network analysis — applied across research projects at two Russell Group universities and the CING internship.

Python & R GWAS Mol. Docking