Dr Dominik Glodzik

Dr Dominik Glodzik is an instructor of biomedical informatics at Harvard Medical School. His research focuses on developing advanced methods for mutational signature analysis aimed at understanding, treating, and detecting cancer early. During his postdoctoral fellowship at the Sanger Institute, in the groups of Sir Prof. Mike Stratton and Prof. Serena Nik-Zainal, he gained expertise in detecting mutational patterns in cancer genomes.

A pioneer in applying supervised machine learning to study mutational processes in cancer, Dr Glodzik co-developed HRDetect (Nature Medicine, Davies and Glodzik et al., 2017), an algorithm that identifies cancer patients with homologous recombination deficiency (HRD) from genome sequencing data. This tool has expanded the number of patients eligible for targeted therapies. His ongoing research includes:

• Machine learning methods to predict therapeutic vulnerabilities from mutational patterns (mutational signatures) in cancer, leveraging synthetic lethality.
• Extending mutational signature techniques to understand mutational processes before and during neoplastic transformation.
• Utilizing mutational patterns to develop more sensitive liquid biopsies for early cancer detection.

Dr Glodzik will be co-leading our Bioinformatics and Machine Learning community which will seek to advance the application of computational and machine learning methods in genomic research.