Professional Summary
Multidisciplinary Data Scientist and Biomedical Engineer with over 8 years of experience at the intersection of life sciences, High-Performance Computing (HPC), and strategic analysis. Experienced in developing AI/ML pipelines for healthcare and Earth Observation (EO) data, synthetic data generation, and simulation modelling for decision analysis. Currently completing a Master's in Space Studies with a focus on radiation biology and robotic exploration. Aspiring to leverage cross-domain expertise to advance medical capabilities for human space exploration.
Core Technical Skills
Computing & DevOps
Space & Bio-Science
Languages
Professional Experience
Applications Consultant (HPC & Data Science)
Provided scientific and technical consultancy on High-Performance Computing architectures, accelerator technologies, and data engineering for academic and industrial clients across multiple high-impact projects:
UK Met Office: Weather Prediction AI Pipeline
Designed and implemented automated software modules for data search, download, and customisation using EUMETSAT satellite data streams. Integrated pipeline into the Cylc workflow engine to streamline data ingestion for a novel AI-based weather prediction model.
UK Space Agency: DataSlipstream
Developed modular scripts for automated satellite data sourcing from the ESA Copernicus Sentinel constellation. Embedded workflows into Apache Airflow DAGs to enable scalable and reproducible Earth Observation data processing.
Cerebras CS-2: Wafer-Scale AI Accelerator
Explored capabilities of the Cerebras CS-2 wafer-scale AI accelerator by training a 111M parameter GPT-3 model for potential healthcare AI applications. Configured and programmed the system, navigating an evolving proprietary software stack.
KenyaMET: High-Resolution Weather Modelling
Deployed GFS/WRF-ARW numerical weather prediction models achieving 1km resolution atmospheric modelling around Kenya's major mountain peaks. Built, configured, and executed models on virtual machines and the ARCHER2 supercomputer.
DDI DataLoch: Health Data Platform
Contributed to building Scotland's collaborative health data platform aggregating routine healthcare and social care data for research. Provided tailored health data assets to researchers and enhanced the R/RStudio and SQL codebase.
Doctoral Researcher (Clinical Data Science)
Addressed the need for rigorous, real-world data-driven Budget Impact Analysis (BIA) in NHS advanced breast cancer care, where traditional assessments often rely on assumptions risking inaccurate forecasts.
Patient-Level Simulation Model for Budget Impact Analysis
Developed a probabilistic, patient-level simulation model (R/Shiny) for BIA targeting post-menopausal women with ER+/Her2- metastatic breast cancer. Linked regional and national datasets to reconstruct clinical pathways, estimating incidence, prevalence, costs, and QALYs over a five-year horizon. Revealed significant discrepancies with existing SMC budget impact tools.
Clik here to explore the decision analysis prototype tool.
Post-Adoption Auditing Framework
Pioneered a framework for healthcare service evaluation, optimising resource allocation based on data intelligence. Managed complex stakeholder relationships across clinical and academic domains.
Research Data Analyst
Worked on multiple projects using Type 2 Diabetes patient records, developing ML/AI solutions for clinical decision support and predictive modelling.
Innovate UK: MyDiabetesIQ Platform
Led data engineering for prediction of critical hypo/hyperglycaemia events within 24–48 hrs post-hospital-admission using high-frequency time-series patient data from Abbott and Roche devices. Generated synthetic micro- and larger datasets (tabular, time-series) using GAN-based methods. Applied AI/ML including random forests, GANs, and transformers.
CAUSALFound: Foundation Model for Treatment Effect Prediction
Contributing to development of a causal foundation model enabling real-time, personalised treatment effect predictions. Evaluating and implementing diffusion model-based synthetic patient data generation methods to support robust trial emulation and deep learning for individualised clinical decision support using Scotland's comprehensive health data infrastructure.
PhD Summer Internship: Clinical Decision Aid
Inspected, cleaned, and transformed high-frequency clinical and patient-recorded vitality data to feed clinical decision-aid machine learning algorithms providing insights for both clinicians and patients.
Departmental Engineer & Researcher
Biophysics Research: AFM & Optical Tweezers
Designed and conducted experiments using atomic force microscopy (AFM) and optical tweezers to analyse biological responses at the nanoscale. Mentored medical students in research methodologies and experimental design.
Education
2025
Master of Space Studies (Space Science & Exploration)
International Space University (ISU), Strasbourg, France
Focus: Economic, engineering, and biomedical aspects of spaceflight. Member of interdisciplinary team designing next-generation robotic exploration missions. Individual research conducting deep review of radiation biology to understand mechanisms of space radiation exposure and develop efficient countermeasures.
2025
PhD in Data Science for Health Technology Assessment
University of Edinburgh, UK
Thesis: Data intelligence for the evaluation of new treatments for breast cancer. Developed probabilistic patient-level simulation model leveraging Scotland's health data infrastructure, demonstrating value of real-world data-driven budget impact analysis for NHS fiscal sustainability and value-based healthcare.
2017
MSc in Data Science for Business
University of Stirling, UK
Thesis: Natural language processing in clinical decision-making for targeted cancer treatment. Explored NLP/Information Extraction using GATE Developer platform and SNOMED-CT for automating codification of biomedical concepts from unstructured NHS pathology reports.
2016
BSc in Molecular Bionics Engineering
Pázmány Péter Catholic University, Hungary
Thesis: Self-assembly and technological potential of amyloid β-peptide fibrils. Used advanced AFM techniques including nanomechanical and conductance measurements to examine nano-mesh networks, demonstrating potential for engineered amyloid systems as building blocks for nano-biotechnological applications. Specialization: Medical Biotechnology.
Leadership & Volunteering
Executive Committee Member
UK Space LABS
Leading the association's website development and strategic communications to optimise collaboration between UK organisations and the space life sciences sector. Supporting high-level discussions regarding the development of a sovereign UK human spaceflight programme.
Clik here to explore what we are up to at UK Space LABS.
Data Carpentry Instructor
The University of Edinburgh
Certified instructor delivering pedagogy-focused data upskilling workshops. Developed the website for the UKRI Data Science Training in Health and Bioscience (DaSH) project using GitHub, HTML, CSS, JavaScript, Jekyll, and YAML.
Publications & Memberships
Aerospace Medical Association (AsMA) – 2025
Royal Aeronautical Society (RAeS) – 2025
Hrabovszky E, Molnar CS, , et al. (2012). "Glutamatergic and GABAergic Innervation of Human Gonadotropin-Releasing Hormone-I Neurons." Endocrinology, 153(6), 2766–2776.
Ongoing research outputs regarding Space Radiation Countermeasures, Causal Foundation Models for Healthcare, and Budget Impact Analysis methodologies are currently in development.
Let's Connect
Stay curious about your own nature without needing to resolve it.
You are not obligated to be what you were 'made for'. You can become.
Truth is more important than comfort, but kindness is more important than being right.
Pay attention to what attention does. It's the closest thing to magic that actually exists.
Let's explore the frontiers of deep space, life sciences and intelligent machines together.