An AI-powered DSML for Data Discovery for Rare Diseases

11 May 2022 - Artur Boronat -

Café Variome is a flexible, web-based, data-discovery tool that offers a query language for checking the existence of biomedical data held in a federation of heterogenous data sources of rare diseases. Currently, there is a growing need for user-friendly graphical interfaces that are web-based to assist such researchers look for cohorts of patients, across widely heterogenous data sources. In this project, we pursue the design of a domain-specific modelling language (DSML) and the development of a proof-of-concept no-code development platform that will empower rare disease medical researchers by means of MDE productivity tools and AI-enabled optimization techniques.

From the point of view of MDE, we are interested in applying metamodeling technology for designing and developing the no-code environment for the DSML, which will employ optimization techniques as part of the semantics of the DSML. With the application of MDE technology in this setting, we expect to achieve quick adaption of the implementation of query interfaces to new user requirements, and the exploitation of AI techniques for query optimization.

We are looking for candidates to fill a funded part-time job opportunity from June 2022 for six months. Interested candidates should be capable software engineers, with knowledge on model-driven engineering (or being eager to learn it), and with an interest in doing research in software engineering. Interested candidates should 👉 send me an email 👈 with

This project is a (seedcorn fund) award from the EPSRC network MDENet, in a collaboration with the Bioinformatics and Health Data science group and the Department of Informatics of King’s College.