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.

Since June 2026 I’ve worked as an independent consultant and adviser in applied AI, data science and bioinformatics, through my own company, Carmen Provenance LTD.

From 2021 to 2026 I was Head of Professional Services and Senior Bioinformatician at Biorelate Ltd., a UK biomedical AI company, where I built and led the function that turned biomedical AI, knowledge graph, and NLP products into 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

  • Agentic AI over biomedical knowledge graphs. Agent orchestration, memory, evaluation, biomedical tool-use, with provenance and programmatic citation on every claim.
  • Evidence and safety assessment. Knowledge graph + LLM evidence retrieval, citation-traced outputs.
  • Biomedical AI & knowledge graphs more broadly. 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-software and 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
LinkedIn 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

Citation metrics are kept current by Google Scholar / Scopus rather than hard-coded here, so they don’t go stale.

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.