PhD Doctor of Philosophy
Any advanced project will likely include analysis of systems-level datasets (genomics, transcriptomics, proteomics) using the programming language R. Along the way, students will read a handful of cutting-edge academic papers critically, learning about the structure of these papers and the review process. Students will download publicly available datasets from these papers and learn to re-analyze them, confirming reported findings and (with determination and some luck) adding findings of their own. They will then present their work in a poster or short paper. Alternatively, students without programming experience can choose to do a critical review of the literature in an area of interest, reading a handful of seminal papers, identifying key questions that remain unanswered, and building a hypothesis-driven experimental plan to address them. Example projects include 1) analysis of the response to amino acid starvation in pancreatic tumors, 2) comparison of the anti-viral response to SARS-CoV-2 infection versus other viruses, and 3) literature review of the role of protein misfolding in neurodegenerative disease.
Coding skillsR, Python, Matlab
"I have loved the experience so far. Michel has been very helpful in giving me the proper resources to understand the project as well as helping me understand the more complicated concepts during the sessions."