Luna De Ferrari

I am currently the senior computing officer for research at GAIL, the Generative AI Lab of the University of Edinburgh. I support users in their research workflows, also using Kubernetes to fairly allocate GPU capacity.

Previously:
AI coordinator for the AIM-CISC project: Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Context (funded by NIHR UK from 2021 to 2024 with number 202639)

Data scientist at the Edinburgh Parallel Computing Centre, University of Edinburgh

Undergraduate and postgraduate teaching coordinator for statistics and R programming at the Psychology department, University of Edinburgh

Researcher for epigenome-wide DNA methylation data analysis of Paget's disease of bones at the Institute for Genomic and Molecular Medicine, Western General Hospital, Edinburgh, UK. 

Researcher for machine learning prediction of enzyme function and mechanism and active and guided learning for molecular biology curation. At the universities of St Andrews and Edinburgh.

Skills: Machine learning, deep and traditional, statistics, NLP, LLM applications and LLM-supported coding, Python, R, Java, SQL, Kubernetes, Docker.