LatinX in AI Celebrates Pride Month

Join us in celebration of (a bit late) Pride Month for an engaging webinar on fostering inclusion and addressing bias in the age of technology.

This conversation will explore how organizations and individuals can build more inclusive environments, challenge systemic bias, and support LGBTQIA+ communities—both within and beyond the workplace. Our panel of thought leaders will discuss real-world strategies, share personal experiences, and examine the role of data, design, and policy in shaping equitable outcomes. Together, we'll reflect on how we can collectively advance dignity, representation, and belonging for all. Don’t miss this opportunity to be part of the conversation!

Join us on July 17th 2025 (3:00 PM PT, 5:00 PM CT, 6:00 PM ET, 12:00 AM CEST)

Maria Pacheco

University of Colorado Boulder
Maria is an Assistant Professor in the Department of Computer Science at the University of Colorado Boulder, where she leads the Boulder Language and Social Technologies research group. Maria primarily works on Natural Language Processing and Computational Social Science. She is mostly interested in the integration of structured knowledge and statistical models for language technology, and in the relationship between language and social systems.

Before joining CU, Maria was a Postdoctoral Researcher at Microsoft Research NYC. She completed her PhD in Computer Science at Purdue University, and her BSc. in Computer Science and Engineering at the Universidad Simon Bolivar in Caracas, Venezuela, where she was born and raised.
Diana Galvan Sosa

University of Cambridge
Research Associate in the NLIP Group & ALTA Institute directed by Professor Paula Buttery, based in the Department of Computer Science and Technology at the University of Cambridge.
My current research interest focus on educational applications of NLP. More specifically, feedback generation in second language (L2) learning. Other research interests include knowledge acquisition for machine reading comprehension and question answering, particulary when common sense knowledge is required. I am also interested in temporal reasoning, especially on it’s application to the clinical domain. On a personal note, I love sports and music.
Victoria Maya

Mercado Libre
She is a Senior Data Scientist at Mercado Libre in Mexico, where she currently leads machine learning initiatives. Previously, she worked as a Data Scientist specializing in credit risk at several startups, including Rappi.
She received her academic training in technology at the National Autonomous University of Mexico (UNAM) and, thanks to a scholarship from the Fundación Carolina, completed a master's degree in Data Science and Big Data in Spain. She has worked for well-known companies, specializing in the design, development, and implementation of artificial intelligence models to automate high-impact decision-making processes.