Dominik Glodzik

Dominik Glodzik is an Instructor in Biomedical Informatics at Harvard Medical School, where his research focuses on the application of statistical algorithms to enhance the understanding, treatment, and early detection of cancer. His work integrates genomics and machine learning to address critical questions in cancer biology and patient care.

Academic Background and Research

Glodzik holds a PhD and has a strong background in data science, particularly in the context of cancer genomics. His research involves analyzing mutations in DNA from both normal and cancerous cells, aiming to uncover the mechanisms that lead to these mutations. This work is crucial for interpreting cancer genomes and tailoring therapies to individual patients. He is involved in several significant projects, including:

• SUPPRESSTEM: Identifying mutations that drive colorectal tumors to predict patient responses to novel therapies.

• BASIS Project: Studying chromosomal rearrangements associated with breast cancer through whole genome sequencing.

• INSIGNIA Project: Experimentally recreating mutation patterns observed in patient tumors to better understand their origins.

Professional Experience

Prior to his current role, Glodzik was a postdoctoral fellow at the Wellcome Sanger Institute, where he contributed to various projects involving computational analysis of cancer genomes. He is also known for his public speaking and efforts to communicate scientific findings to broader audiences.1246

Glodzik's expertise in both genomics and machine learning positions him as a key figure in the intersection of data science and cancer research, with a commitment to improving patient outcomes through innovative approaches.357