Can Kockan

Computational Scientist at the Broad Institute of MIT and Harvard

Research Interests

I am interested in a broad range of bioinformatics problems, currently focusing on privacy-preserving and secure algorithm development for genomics and multi-omics analysis. Throughout my Ph.D. studies I have designed and implemented such algorithms for Genome-Wide Association Studies, machine learning based disease outcome prediction, and genotype imputation on the Intel SGX platform. Previously during my M.Sc. I have developed methods for detecting low frequency Single Nucleotide Variants (SNVs) and small insertions/deletions from cell-free DNA via liquid biopsies.

Education/Experience

• Ph.D. in Computer Science, Indiana University, 08/2016 - 10/2021

  • Advisor: S. Cenk Sahinalp

• Pre-doctoral Fellow, Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, 12/2019 - 09/2021

• M.Sc. in Computer Science, Simon Fraser University, 08/2014 - 08/2016

• B.Sc. in Computer Science, Bilkent University, 09/2010 - 06/2014