• Developed scalable, cloud native, containerised, metagenomic NGS pipelines, applied to clinical trial data analysis, drug discovery and pharma services platforms.• Build a self-populating graph knowledge base (Neo4J, Python), used to facilitate a drug discovery platform with in-house trained large language models (LLMs).• Managed interdisciplinary team of bioinformaticians, IT, interns to develop a proprietary data analysis platform.• Implemented cloud transformation, allowing secure data management and scalable bioinformatics analysis.• Transformed company services to ensure full compliance with Good Clinical Practices (GCP), as well as ISO9001, ISO27001, GDPR, PDPA, HIPAA, PHIA and MTCS standards.

• Managed development of consumer-genomics platform and mobile app: interaction with app developers, design of PDPA compliant data de-identification, sample handling and logistics.• Developed consumer genomics analysis pipeline: comparative and predictive analysis of health status and disease risk based on microbiome NGS data.• Enrolled a company in the AWS Startups program and secured 35k$ grant for cloud transformation.

• Established interdisciplinary collaborations, resulting in 13 publications across the fields of microbiology, imaging, computing, electrochemistry, during the time of fellowship.• Person-of-contact for industrial outreach and technology transfer committee.

• Developed and executed a high-throughput screen of 5000+ E.faecalis transposon mutants, to identify pathways responsible for extracellular electron transfer.• Streamlined RNA-seq and Tn-seq data aggregation and analysis by developing a web-based GUI platform (R-Shiny, SQL backed), allowing immediate remote data access.

• Enhanced live cell microscopy imaging techniques and automated analysis workflow, reducing over 10-times data processing time and leading to publications in top-tier journals.• Maintained lab safety and documentation, ensuring compliance with regulations and creating a secure work environment for all staff and students.