I do research on data intensive software systems. My work lies at the intersection of software engineering and data science practices, with a strong focus on the research of practical tools and techniques that aim to solve overarching problems in software and data analytics teams. In particular, I take advantage of Machine Learning (ML) and Natural Language Processing (NLP) techniques to address problems in software documentation and dependability (e.g., security, quality analysis, program repair, information summarization).
My research is influenced by my 10+ years of full-time professional experience at the Industry, both as a data scientist and as a software developer. I was a Senior Data scientist at the Data and Statistics Office of Bank of Canada. I also worked at IBM Canada, both as a researcher and as a software engineer. At IBM, I was part of the IBM Watson Analytics team.
In my PhD, I leveraged Natural Language Processing and Machine Learning techniques on the vast amount data available in online software repositories. As part of my PhD research, I have created Opiner, an online opinion search and summarization engine for APIs. Check out Opiner at: http://opiner.polymtl.ca
I have multiple openings for full-funded Masters and PhD students. I am looking for motivated and hard working students. Please see details about students here.