Cloud-Native Bioinformatics Infrastructure for AI‑Driven Discovery
I design and implement reproducible pipelines and GPU-backed cloud infrastructure for your computational biology team, with seamless integration across your data, tools, and workflows to accelerate your research. Not models — integration is the real bottleneck.
- PhD, University of Oxford; Postdoctoral Researcher, Wellcome Centre for Human Genetics
- Consultant, The Institute of Cancer Research (ICR), London
- Senior Scientist & IT Director, The Bioinformatics CRO - supporting 20+ biotech and research clients
Background
Services
See my core services below to learn how I help biotech and research teams.
NGS Data Analysis
WES, WGS, RNA-seq, scRNA-seq, ATAC-seq, ChIP-seq, spatial transcriptomics, and other high-throughput sequencing analyses
Machine Learning
Deep learning model development, PyTorch training and fine-tuning, GPU-accelerated inference, classical ML, statistical modeling
Cloud Engineering
Building scalable, secure, and cost-efficient AWS or Google Cloud infrastructure for biological data and compute workloads
AI-Native Systems
Agentic workflows, RAG systems, private LLM infrastructure, MCP servers, context management, knowledge graphs, and more.
Bioinformatics Pipelines
Designing and implementing reproducible Nextflow or Snakemake workflows for scalable bioinformatics analysis
Data Engineering
Data modeling, designing scalable biological data pipelines, SQL/NoSQL/graph databases, data lakes, APIs, and more
Software Development
Full stack custom web applications for processing, browsing and visualizing biological datasets
DevOps Engineering & Support
Deployment of data-intensive applications - Terraform, containers, Kubernetes, Helm, observability, CI/CD, and more
Structural Biology
Structural bioinformatics, protein–protein interface analysis, docking, molecular dynamics, de novo protein design
Example Solutions
Multi-omics Data Analysis
Turn Complex Omics Data Into Insight Without Reproducibility Issues
Read more →Agentic AI Workflows for Bioinformatics
Automate Your Research Workflows Without Generic Off-the-Shelf AI
Read more →End-to-End Sequencing Data Pipelines
Move From Sequencing Data to Discovery Without Bottlenecks
Read more →GPU-Accelerated Model Deployment
Accelerate Model Inference Without Overspending on Hardware
Read more →Bioinformatics Data Engineering
Build Reliable Biological Data Infrastructure Without Fragile Data Pipelines
Read more →Workflow Observability & Monitoring
Keep Pipelines Reliable Without Constant Manual Debugging
Read more →HPC & Cloud Pipeline Engineering
Run Bioinformatics Pipelines Without Infrastructure Complexity
Read more →What Clients Say
View all →"He has a rare ability to design complex, highly effective code. His work is always comprehensively detailed and his software is always a delight to use. Márton's contributions to our disease gene discovery and translation projects were vital to our successes."
"He swiftly took over responsibilities, resolved critical bottlenecks and introduced optimizations. Beyond his technical skill, he was collaborative, dependable, and a real pleasure to work with."
CSO, UK biotech company
"Creative, committed, and diligent — Márton is a model of what a biologist is looking for in a true bioinformatics partner."
Working Together
Initial Consult
Kick-off meeting to understand your goals, constraints, timelines, and existing tooling.
Proposal & Plan
Scope, deliverables, milestones, and an implementation plan (with risks/options).
Build Iteratively
Agile delivery with clear checkpoints, repo-based work, and frequent updates.
Handover
Deployed infra, documentation, code, reports, optional training, and follow-up support.
Scaling issues, fragile workflows, or integration gaps?
Let’s Fix Your Pipeline or Infrastructure Bottleneck
Whether you need to stabilize a fragile pipeline, scale your infrastructure, or integrate your tools, data, and workflows into a system that actually works in practice, we can map out a clear path forward in a focused 30-minute call.