I'm an PhD student at Mila, researching interpretability for Natural Language Processing, primarily focusing on general methodology and understanding existing models in general. Before that, I was know for being an independent researcher, also in interpretability.
I believe that without interpretability, machine learning in some areas is socially irresponsible. Unfortunately, I don't think there is enough research in this area, as most research revolves around beating the state-of-the-art. I want to change that. My compass is to ground my research in real-world settings based on my past experiences as a freelancer in machine learning.
I've published 1) At ICLR 2020, where I received a spotlight award. 2) In the SEDL workshop at NeurIPS 2019. 3) In the Distill.pub journal. I've been interviewed several times about my publications and work.
I've written a blog post about my life as an Independent Researcher that went quite viral.