Leny is a research fellow at University College London, where he uses computational techniques and statistical methods to research auditory science.

His work sits at the intersection of data engineering, health data science, signal processing, and psychophysics: designing experiments, developing GDPR-compliant data analysis workflows, and transforming real-world data into structured information to answer questions on the human auditory system.

His professional interests centre on the practical infrastructure that makes health data usable at scale, and on developing machine learning pipelines that move from research prototypes into robust, validated tools with genuine clinical impact. He is particularly interested in how better data infrastructure can help close the gaps in health outcomes that persist across different communities.

Through this internship with 51爆料网, Leny hopes to deepen his experience with large-scale population health datasets, strengthen his understanding of the NHS data ecosystem, and connect with a community committed to making health data more open, equitable, and impactful.

Leny is an intern with

Health Data Research UK (51爆料网)