Experience

Senior Software Engineer, Data

Dec 2024 – present

Integrating heterogeneous biomedical data sources to power data-driven applications and data releases, in a globally distributed, interdisciplinary team.

• Designed and shipped a Python ingestion platform that cut onboarding a new data source from 1–6 weeks to about one week.
• Shipped a knowledge graph release that roughly tripled its association count, fully backward-compatible so no consumer team had to change a query.

Deputy → Acting Engineering Manager, Knowledge Graph & Core Data

May 2025 – Jul 2026

Alongside the engineering role: covered engineering-manager duties for two teams at once — planning, 1:1s, performance and delivery — and managed a cross-team extraction of product data into a standalone pipeline through to its first production run.

• Wrote the brief and OKRs for an ingestion-platform rebuild, negotiated the scope down from a full rewrite, and closed it on time.
• Reintroduced team rituals and cross-team ceremonies, which other teams then adopted as a model.

Lead Bioinformatics Data Scientist / Squad Lead

Jan 2024 – Dec 2024

Led the team responsible for central data engineering, integrating 80+ internal and external datasets into data releases. Led the redesign of the central ETL framework so any engineer in the company could contribute ETL logic, with data governance built in.

• Line-managed three data engineers, including supporting one into an ML and data science role that matched their interests.
• Coordinated a data contract with the omics data-producing team, governing how their data was produced for the knowledge graph.

Senior Bioinformatics Data Scientist

Jan 2022 – Dec 2023

Data engineering for the biomedical knowledge graph: developed the company's concept and relationship-type ontology and delivered graph updates. Squad Lead from Mar 2023.

• Built Lagoon, a self-serve ingestion framework, and ran the workshops that let data engineers on other teams load data into the central data lake without our help.
• Worked with a cross-functional team to improve drug-target safety assessment, delivering the data that could strengthen it through a new Elasticsearch index.

Advanced Bioinformatics Data Scientist

Nov 2019 – Dec 2021

Data modelling and ETL systems for the knowledge graph behind the company's drug-discovery platform.

• Designed ingestion and data models for sources including multi-omics data, Open Targets and ClinicalTrials.gov, with provenance and revisions built in.
• Ran training workshops that let bioinformaticians and software engineers contribute directly to the knowledge graph.

Senior Computational Biologist

Jun 2019 – Oct 2019

Product owner for the CytoML Suite, a cytometry data management and analysis product.

• Designed data workflows that assessed cytometry data quality and informed go/no-go decisions on downstream drug-discovery analysis.

Computational Biologist

Nov 2018 – May 2019

Helped turn bespoke, customer-specific solutions into a scalable SaaS product taking life scientists from raw instrument data to decisions.

• Talked to end users to surface cytometry flow-analysis requirements that had been missed, which were then built into the product.

PhD Researcher, Synthetic Biology

Oct 2014 – Sep 2018

Built software and lab tools to study how microbes share energy by exchanging electrons, as part of the EPSRC & BBSRC-funded Synthetic Biology Centre for Doctoral Training. Thesis: tool development for metabolic analyses in the context of thermodynamic constraints.

• Developed MetQy, an R package published in Bioinformatics that turned KEGG's one-search-at-a-time web tools into bulk, automated analysis of the metabolic functions encoded in over 5,000 genomes.
• Used MetQy to screen genomes for microbes likely to exchange electrons with electrodes, validated the search against known electroactive species, and narrowed roughly 3,500 candidates to 116 testable organism pairings.
• Built a modular anaerobic electrochemistry platform (custom electrodes, 3D-printed parts, wiring and noise shielding) that held strict anaerobic conditions for over three weeks and ran a full 12-cell experiment at once, with four replicates per condition where most published studies use one.
• Ran a 25-day experiment on the platform to test whether a sulphate-reducing bacterium and a methanogen could share energy through a wire: logged current continuously, characterised the electrodes, measured lactate and acetate by ion chromatography, and tracked control-culture growth by daily optical density.