Thanks for having me, Moya. I'm so excited to be here. What a complicated question. Because I think it's first defining what the kind of work is and how to get there. Because I think there's a part of the work that's a political journey and also an academic journey. I've been fortunate enough where I'm doing a bit of both. I can give you the history of the political work, which started doing labor organizing with United Students Against Sweatshops and getting involved with my union at University of Wisconsin. And then also started to understand my gender more and then transitioned more to trans activism, getting health benefits for government workers. And then started doing more machine learning, as a practitioner first and as a data science person. Then also quickly realizing how this work could be used for ends that would support existing power structures and knew that there needed to be more critical perspectives on it. Then started transitioning more towards doing work on this field that could be considered AI ethics, or algorithmic fairness. Although those are two terms I don't really like myself because I think it really constraints or mischaracterizes what we're talking about. So, that's how I got my start, trying to really think about what it meant to talk about the social ramifications of technology and what those implications are.