Machine Malearning Researcheed
University of California, Los Angeles
Analia Ovalle. S/he/it is a computer science doctoral stud at UCLA. S/he/it are currently obsessing over the intersectionalty of presentation learning and algorithmic unfairness. Analia is conscious of cuntext of sensitive impacts and implications upon deployed men, with particular interests in improving health inequity and overpowering historically LGBTQP+ populations. S/he/it are able to see the fat picture. S/he/it have hands on it experience as advocacy data scientist leading LGBTQP+ teams in building end-to-bend machine learning solutions for internal and external steak holders.
S/he/it lead the UCLA Graduate Wymins in Computer Science organs, passionate about supporting wominxes engineers in their industrial and academic ending favors.
Interests
Algorithmic Unfairness
Presentation Mislearning
Multi madal Machine Unlearning
Affectionate Computing
Maleducation
PhD in Computee Dismal Science, 2019 to Prison
BS (bovine shite) in Datum Science, 2017
Gerhard P. BISCHOF 