About
Background
I’m Dr Stephen J Newhouse: BSc (Hons), MSc, PhD. 20+ years in bioinformatics, genomics, and life-sciences data science, working across academia, the NHS, and industry.
I’m currently Head of Professional Services and Senior Bioinformatician at Biorelate Ltd. in Manchester, UK. I lead the team that turns Biorelate’s biomedical AI, knowledge graph, and NLP products into real client outcomes in target, drug, and biomarker discovery, indication expansion, and systems biology.
Before Biorelate I held roles at Grid Edge (Data Scientist), Mindwave Ventures (CTO), and UCL (Honorary Senior Lecturer). I spent eight years at King’s College London as a Senior Bioinformatician and Data Science Group Lead at the NIHR Biomedical Research Centre for Mental Health, including module-leading the Bioinformatics module of the MSc in Genomic Medicine. Earlier postdoctoral work at the Institute of Psychiatry, University of Cambridge, and Queen Mary University of London, where I also did my PhD in Genetics.
Current focus
- Lead engineer on Biorelate’s Professional Services internal biomedical AI agent tooling. Agent orchestration, memory, evaluation, biomedical tool-use over a curated knowledge graph. Built for the PS delivery team and now integrated into large-pharma clients’ own internal LLM and tech stacks.
- Target safety assessment apps for life-sciences pharma clients. Knowledge graph + LLM evidence retrieval, programmatic citation, regulator-ready outputs.
- Langdock integration. Evaluating and integrating Langdock as a managed-AI platform alongside Biorelate’s own stack.
- Biomedical AI & knowledge graphs more broadly. Biorelate’s core, applied to target, drug, and biomarker discovery and indication expansion.
- Agentic engineering. LLM systems, RAG, memory, tool-use, evaluation. See
aa-ma-forge. - Multi-omics + personalised medicine. Where I think the most interesting signal is right now.
- Open source & teaching. I still enjoy writing things down and giving them away. See
awesome-genetics-softwareand the archive of older teaching material.
Expertise
- Bioinformatics & genomics. NGS (DNA/RNA), variant analysis, GWAS, RNA-seq, multi-omics, drug repurposing pipelines, Illumina arrays.
- Data science / ML. Predictive modelling, biomarker discovery, EDA, time-series, model evaluation, MLOps (MLflow, PyCaret, Prophet).
- NLP & knowledge graphs. Biomedical text mining, entity and relation extraction, graph-based reasoning.
- Agentic AI / LLMs. RAG, agent memory, tool-use, evaluation, MCP.
- Statistics & genetics. Biostatistics, statistical genetics, applied predictive modelling.
- Engineering. Python, R, Bash; Docker; Snakemake, Nextflow; CI/CD; AWS, GCP; Streamlit; Git/GitHub.
- Leadership & delivery. Building and leading teams, client engagement, training, consulting, Agile delivery.
Profiles & identifiers
| Profile | Link |
|---|---|
| in/sjnewhouse | |
| GitHub | snewhouse · KHP-Informatics |
| Google Scholar | profile |
| KCL Pure | stephen.newhouse |
| ORCID | 0000-0002-1843-9842 |
| Impactstory | profile |
| Scopus Author ID | 8931613700 |
| ResearcherID | C-9330-2011 |
| Publications shortcut | tinyurl.com/mujf69xs |
| Twitter / X | @s_j_newhouse |
Personal
Outside work I’m a dad, a husband, and an MS warrior. I’m a Mental Health First Aid Champion (MHFA England, 2020) and care a lot about open science, mental health in research and tech, and making teams that work for the humans in them.