About Me

Strengths

Practical and pragmatic hands-on mentality to make things work
Broad multi-disciplinary knowledge in software development, drug discovery, genetics, business strategy that allows me to easily connect the dots
Curiosity to learn and explore but always with the idea to make the best use of this new knowledge for the customer
Emphatic and open-minded person with a will to help colleagues
Entrepreneurial spirit to tackle problems
Creative feel to generate visually appealing content to convey results

Product management: requirements gathering and product definition, market strategy development, product roadmap
Team mentor and guidance: taking the lead of software development team to deliver real value
Hands-on programming experience with Python, Java, R, C++, Matlab, shell scripting, GitHub
Agile working in Scrum team
Algorithm development and implementation: machine learning, AI modelling and training with TensorFlow, Kaggle, Hugging Face, Numpy
IVDR and medical device compliance for clinical grade software
Google Cloud and AWS : setup, deployment and maintenance of cloud environment
Graphic design and visualisation (Adobe Illustrator, PhotoShop)

Within the framework of the OncNGS project, integrating the KULeuven liquid biopsy variant calling pipelines with the OncoDna analysis tools

Providing professional training in an intensive program to introduce students into the world of Python and the fundamentals for data science.

Offering tailored data analysis and software solutions using advanced ML and AI as a self-employed freelancer/consultant

Taking some time off to recharge and work on career orientation
Updating knowledge on AI and deep learning, product strategy, data analysis and starting a small business

I was the main and final responsible for the internal data repository of genomics and clinical data that formed the backbone for the Alissa clinical decision support software which was used by 150 clinical diagnostics labs worldwide to analyse over 2.5 million patient samples.
Enabled and implemented procedures for Alissa customers to easily share variant interpretations among peers. This was done on a regional level and resulted in more than 300k shared clinical interpretations which greatly enhanced customer retention and allowed them to speed up patient analysis and improve diagnostic outcomes.
Supported and supervised government funded research projects with external partners, EU projects OncNGS and Ageing with Elegans, and ICON GAP with IMEC.

Supported customers with all aspects, frontend and backend, of the use of the Alissa Clinical Informatics platform

Developed a custom multi-objective optimisation algorithm for the design of new small molecules towards selected targets
Implemented software libraries and machine learning models for virtual drug discovery and classification of compound libraries
Implementation of virtual small molecule library profiling and visualisation tool at Galapagos (Mechelen, Belgium), UCB (Braine-Alleud, Belgium), Servier (Croissy, France) in successful fee-for-service projects.

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