CV. Stephen J Newhouse

Headline

Dr Stephen J Newhouse, PhD. Applied AI and data science leader, bioinformatician and agentic AI engineer.

20+ years across academia, NHS, and industry: bioinformatics, ML, target, drug, and biomarker discovery, knowledge graphs, agentic AI.

📍 Wirral, UK. Open to hybrid / remote.

LinkedIn · GitHub · ORCID · Google Scholar · KCL Pure

Top skills

Top 3 (LinkedIn): Agile Methodologies · Data Management · Natural Language Processing (NLP).

  • Languages: Python, R, Bash, SQL.
  • ML / data: scikit-learn, PyCaret, Prophet, MLflow, pandas, NumPy, Streamlit, classical stats, time-series, biostats.
  • NLP & knowledge graphs: biomedical text mining, entity and relation extraction, graph-based reasoning.
  • LLM / agentic AI: RAG, agent memory, tool-use, evaluation, MCP, Anthropic / OpenAI / HuggingFace stacks.
  • Bioinformatics: NGS (DNA/RNA), variant calling, GWAS, RNA-seq, multi-omics, drug repurposing, Illumina arrays.
  • Pipelines & infra: Snakemake, Nextflow, Docker, Conda; Git/GitHub; CI/CD.
  • Cloud: AWS, GCP.
  • Leadership: team building, client engagement, training, consulting, cross-functional delivery, Agile.

Languages

  • English. Native or bilingual.

Experience

Independent consulting and advisory · Carmen Provenance LTD

June 2026 – present · United Kingdom · Remote

  • Applied AI, data science and bioinformatics, focused on work that has to hold up in regulated settings: governance, provenance and evidence you can defend.

Head of Professional Services & Senior Bioinformatician · Biorelate Ltd.

June 2021 – June 2026 · United Kingdom · Remote

  • Built and ran the Professional Services and Consulting function from zero: strategy, hiring, engineering standards, and client outcomes from scoping through delivery. Led a small senior team. Engagements spanned the UK, EU, both US coasts and Japan.
  • Ran client onboarding, training, and product trials, and bespoke consultancy engagements for pharma and biotech clients.
  • Worked alongside Sales and Business Development on technical scoping, demos, and discovery, and sat between Product and clients.

Selected work

  • Sole engineer on a production agent SDK and MCP server over a curated biomedical knowledge graph: a type-safe async SDK, LangGraph workflows with human-in-the-loop checkpoints, memory, evaluation, and tool-use, with full provenance and programmatic citation. Over 1,000 automated tests at 91% coverage. Integrated by a top-10 global pharma into one of their internal agentic AI platforms.
  • Sole architect of a multi-agent target safety assessment system: knowledge-graph and LLM-driven evidence retrieval, programmatic citation, citation-traced reports in hours rather than weeks. Structured outputs end to end, no AI-assigned risk labels, and a provenance bundle of run, document and query manifests. Passed an independent security audit before it reached a client.
  • Built a target annotation engine: every human protein scored on graph-topology, node-similarity and evidence metrics, repointable at any disease. Validated against known disease genes, as a check that the scoring recovered what was already known rather than a discovery claim.
  • Co-ran a head-to-head evaluation of the company’s commercial causal dataset against leading public reference resources. The weaknesses went to the client alongside the wins.
  • Designed the structured evaluation programme that converted trials into paying customers.

Data Scientist · Grid Edge

January 2021 – June 2021 · United Kingdom

  • Worked with the data-science team on ML products. Delivered on time, on budget, on spec.
  • Built ML models for multivariate time-series forecasting that worked when clients only had a small amount of data to train on.
  • Key achievement: built an EDA and ML web application in Streamlit (pandas, NumPy, scikit-learn, PyCaret, Prophet, MLflow, Docker) so the team could explore, clean, and track time-series experiments without leaving the browser.

Career break

February 2020 – January 2021 · Family relocation from London to the Wirral, through the first pandemic year.

Chief Technology Officer (interim, head-hunted) · Mindwave Ventures (later rebranded as Claryon Systems after my tenure)

August 2019 – February 2020 · London, UK · UK & India

Head-hunted by the CEO to take a CTO-level role spanning Mindwave’s UK and India engineering teams. NHS-focused digital-health delivery.

  • Ran and mentored a development team of five to nine in India. Set engineering standards, established code-review practice, and a regular working rhythm with the UK product and delivery side.
  • Worked with NHS stakeholders and the UK team to turn clinical and operational requirements into architectures, backlogs, and implementation plans the engineering team could ship against.
  • Led containerisation and Docker security for NHS-facing platforms: secure network design, container hardening, and deployment pipelines fit for UK healthcare security expectations.
  • Tightened communication between UK client-facing colleagues and the engineering team in India. Less requirements ambiguity, faster delivery on NHS and related digital-health work.

King’s College London · (8 years total, 2011 – 2019)

Bioinformatics Module Lead, Genomic Medicine MSc

November 2015 – August 2019 · KCL & SGUL

Designed and ran the bioinformatics week for the MSc in Genomic Medicine: lectures and hands-on practicals tied to the 100,000 Genomes Project. Course material: snewhouse/genmed-msc-2018.

Data Science Group Lead, Department of Biostatistics & Health Informatics

November 2015 – August 2019 · London, UK

  • Led a sub-team working on genomic and transcriptomic data for neurodegenerative and psychiatric disorders.
  • Built bioinformatics pipelines for genomic and transcriptomic analysis, including drug-repurposing pipelines using public and private datasets.
  • Ran a small Core Bioinformatics service that took Illumina SNP and expression-array data from raw output to analysis-ready.
  • Sat on the Bioinformatics and IT Committee for the South London Genomic Medicine Centre.
  • Consulted on NGS pipelines for local NHS Genetics Labs and research groups.
  • Consulted across the department on biostatistics, statistical genetics, ML, predictive modelling, and EDA.
  • Co-supervised PhD students (academic and pastoral support).
  • Taught BSc, MSc, PhD, NHS, and working-professional cohorts.

Senior Bioinformatician, NIHR BRC for Mental Health, Institute of Psychiatry

September 2011 – August 2019 · London, UK

The umbrella post for the KCL years above. Bioinformatics support and methods development for psychiatric and neurodegenerative research across the BRC, including the SGDP affiliation below.

Associate Member, MRC SGDP, Institute of Psychiatry, Psychology & Neuroscience

March 2015 – August 2019 · London, UK

Past roles

A compact timeline of earlier and shorter posts. Happy to talk about any of these in more detail on request.

  • 2017–2019. Honorary Senior Lecturer, UCL (London, UK). Concurrent with the KCL Data Science Group Lead role.
  • 2010–2011. Postdoctoral Researcher, Institute of Psychiatry, KCL (London, UK).
  • 2009–2010. Postdoctoral Research Fellow, University of Cambridge (Cambridge, UK).
  • 2006–2009. Postdoctoral Research Fellow, Queen Mary University of London (London, UK).

Education

  • PhD, Genetics. Queen Mary University of London (2001 – 2006).
  • MSc, Forensic Science and Technology. King’s College London (1999 – 2000).
  • BSc (Hons), Molecular Biology. University of Liverpool (1996 – 1999).

Certifications & training

  • Mental Health First Aid Champion. MHFA England (2020).
  • GDPR Foundations.
  • Intro to Python for Data Science.
  • Introduction to R.
  • Data Exploration with Kaggle Scripts.
  • Kaggle Python Tutorial on Machine Learning.

Selected publications

Full list: Google Scholar · tinyurl.com/mujf69xs · Impactstory · KCL Pure · ORCID.

Citation metrics are best read live from Scholar or Scopus. They don’t belong hard-coded on a static page.

Talks & teaching

Open source

References

Available on request.