LatinX in AI Social at AISTATS 2023
LatinX in AI (LXAI) is hosting a virtual social on April 25th at 6 pm CEST to connect LatinX identifying AI Researchers and Engineers following the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) taking place April 25 - April 27, 2023.
Mission
This LatinX in AI (LXAI) social is aimed at LatinX individuals working on or interested in AI with a goal to increase the visibility of researchers of LatinX origin. Those already working in AI will have the opportunity to connect with fellow LatinX and make their own work known, while those new to the field will benefit from the scientific exchange, guidance, and advice of researchers with the same background. Participants will be able to engage in discussions about AI (formal and informal) and to share their thoughts on how to increase the presence of LatinX in AI.
During this social, we’ll feature invited talks from prominent LatinX in AI community members and host roundtable discussions facilitating conversations among attendees.
SCHEDULE
Tuesday, April 25th, 2023
6:00 PM CEST / 11:00 AM CST / 9:00 AM PST
Hybrid (Zoom and Palacio de Congresos de Valencia, Auditorium)
6:00 PM
6:10 PM
6:40 PM
7: 10 PM
7:40 PM
8:00 PM
Opening Remarks: Miguel Felipe Arevalo Castiblanco
Keynote: Mirian Hipólito
Keynote: Alejandro Casas
Keynote: Cesar A. Uribe
MC and Q&A: Santiago Velasco-Forero
Closing Remarks: Laura N. Montoya
Open Discussion and Networking
Keynote Speakers
Mirian Hipólito
Holds a Bachelor’s degree in Digital Systems and Robotics Engineering from Tecnológico de Monterrey in 2020. She previously worked in the automotive sector, gaining experience in the fields of autonomous vehicles, robotics and automation. She joined Microsoft Research Redmond in 2021 as a Research Software Engineer in the Privacy in Artificial Intelligence Team (PAI), working in areas such as mixture-of-experts, federated learning and optimization.
Alejandro Casas
Has a degree in Computer Engineering and a master's degree in artificial intelligence. He is passionate about using AI, machine learning, and robotics to achieve outstanding results and sharing his knowledge with others. Currently, he is a college professor and leads the Data Science subject at the Universidad Argentina de la Empresa, where he helps students learn about the rapidly evolving world of data science.
Cesar A. Uribe
is an Assistant Professor at Rice University's Department of Electrical and Computer Engineering. He holds M.Sc. degrees in systems and control from the Delft University of Technology and in applied mathematics from the University of Illinois at Urbana-Champaign. He earned his Ph.D. in electrical and computer engineering at the University of Illinois at Urbana-Champaign in 2018. His research focuses on distributed learning and optimization, decentralized control, algorithm analysis, and computational optimal transport.
ORGANIZERS
Social Chairs:
Miguel Felipe Arevalo Castiblanco — Rice University
Santiago Velasco-Forero — MINES Paristech/PSL Research University
Laura N Montoya —Accel AI Institute