I study how deep learning can help us better understand breast cancer molecular biology, focusing on how to get the most out of the huge amounts of data generated by single-cell RNA-sequencing (scRNA-seq).
In the past, I’ve worked as a Machine Learning Developer at Coveo Solutions, where I worked with the R&D team to implement machine learning algorithms at large scale to return search results for our clients. I also wrote a report comparing deep learning frameworks of the time that I’m rather proud of (although it’s showing it’s age).
Before that, I completed a Master’s of Science in Prof. Luke M. McCaffrey’s lab, where I studied machine learning approaches for the recognition of breast cancers from biopsy microscopy. You can read the thesis I submitted here.