Linda Studer is an interdisciplinary computational pathologist and research associate with 10 years of experience applying graph-based deep learning to histopathology and translational diagnostics. She holds a PhD in Computer Science and combines a strong wet-lab foundation in biochemistry and bioinformatics with hands-on AI and project leadership, most recently leading AI development for renal transplant biopsy diagnostics at Radboudumc. Linda co-founded Abrinca Genomics, bringing an entrepreneurial lens to building scalable genomics platforms, and she also consults on grant writing and public sector transformation projects. Her work uniquely bridges quality-assured biotech practice, didactic training in higher education, and cutting-edge GNN research—particularly modeling T-cell and tumor-bud interactions for cancer risk stratification. Known for organizing community challenges and workshops, she regularly mentors students and operationalizes research for clinical validation and routine use.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Bioinformatics and computational biology, Master's degree, Bioinformatics and computational biology at University of Bern
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université de Fribourg - Universität Freiburg
Innosuisse Start-up Training Course Module 2 Business Concept - Get the Start-up Toolbox, Innosuisse Start-up Training Course Module 2 Business Concept - Get the Start-up Toolbox at Innosuisse - Swiss Innovation Agency
Matura, Biologie und Chemie, Matura, Biologie und Chemie at Gymnasium Neufeld
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.