Paul is an experienced executive in innovative software product creation and management, including vision, strategy and execution. His focus on advanced data analytics and software architecture for health care, biotech, and life sciences applications, make him a perfect fit for BioLizard’s leadership team. Paul has worked on every aspect of the software product life cycle, and his expertise will be invaluable in helping BioLizard help their customers leverage the full potential of data for life sciences and health care.

Prof. Thomas Krahn, is a scientific advisor and board member of BioLizard. He has almost 30 years of experience in the pharmaceutical industry as the head of department for several research units. His area of expertise is within the field of translational medicine, with a keen interest in the application of artificial intelligence and machine learning in the development of innovative diagnostic tools. As a scientific advisor, he provides invaluable insight and advice to the BioLizard Team.

Prof. Gerben Menschaert is a co-founder of BioLizard and is an expert in bioinformatics, databases, and AI/Machine learning. He has worked for several years in both pharmaceutical and biotech companies (Janssen Pharmaceutica & deVGen) as a bioinformatician. His main focus is to combine different high throughput technologies and to integrate resulting information using bioinformatics tools to address different biological questions. At Biolizard, he provides expert advice for the bioinformatics team.

Prof. Wim Van Criekinge, together with Jan, is a co-founder of the Novalis Biotech Incubation. He is a tenured professor at the University of Gent, with nearly 200 peer-reviewed international publications to his name. He founded and heads the laboratory for computational genomics and bioinformatics (BIOBIX) as well as the core sequencing facility (NXTGNT) with global collaborative reach across applied bioscience and clinical discovery. He is a co-founder of BioLizard and he leads the scientific development of the company as well as coaching the consultants. His main interest is the use of machine learning in computational biology and bioinformatics.