Summary
Alejandro Sifrim is an associate professor and computational geneticist with 15 years of experience developing statistical and machine-learning frameworks to interpret large-scale genomic variation in clinical contexts. Trained at KU Leuven (PhD summa cum laude) and shaped by a postdoc at the Wellcome Trust Sanger Institute on the Deciphering Developmental Disorders project, he has specialized in calling complex and mosaic structural variants and linking genetic perturbations to developmental phenotypes such as congenital heart defects. He leads multi-omic integrative bioinformatics efforts, combining high-performance computing, Bayesian modelling, and single-cell omics to study how mutations shape embryogenesis. Known for translating method development into clinically relevant discovery, he bridges deep computational expertise with hands-on genetics and a persistent curiosity about variation at both the micro and macro scale.
15 years of coding experience
9 years of employment as a software developer
Master in Science, Biochemistry & Biotechnology - Bioinformatics, Master in Science, Biochemistry & Biotechnology - Bioinformatics at KU Leuven
ASO, Science-Mathematics, ASO, Science-Mathematics at Sint-Pieterscollege