Khipu 2021 – Event series in Artificial Intelligence

Khipu 2021

event series in

Artificial Intelligence

Khipu 2021 Event Series are monthly online meetings to support the advancement of AI talent in Latinamerica. Each event will feature two sessions covering:

Conversations on AI – broad, wide ranging conversations with AI researchers, both from the region and the international community, exploring the most critical unsolved problems in AI today.

Applications of AI – deep dives into examples of AI applications in the real world, with emphasis on state of the art work done by Latin American researchers or applications that are particularly relevant to the region.


Tuesday, May 18th


— Mexico DF (UTC -5)


— Santiago (UTC -4)


— Brasilia (UTC -3)

Past Events:




Yann is Chief AI Scientist for Facebook AI Research (FAIR) and Silver Professor at NYU affiliated with the NYU Center for Data Science and the Courant Institute of Mathematical Sciences.

His research interests include machine learning and artificial intelligence, with applications to computer vision, natural language understanding, robotics, and computational neuroscience. He is best known for his work in deep learning and the invention of the convolutional network method which is widely used for image, video and speech recognition.

He is the recipient of the 2018 ACM Turing Award (with Geoffrey Hinton and Yoshua Bengio) for "conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing".



Sandra Avila is an Assistant Professor at the University of Campinas (Unicamp), Brazil (since 2017). She received a double degree Ph.D. in Computer Science from the Pierre and Marie Curie University (now Sorbonne University), France, and from the Federal University of Minas Gerais, Brazil, in 2013, a M.Sc. in Computer Science from the Federal University of Minas Gerais, Brazil, in 2008, and a B.Sc. in Computer Science from the Federal University of Sergipe, Brazil, in 2006.

Her current research interests include Machine Learning and AI techniques for healthcare, sensitive media analysis, precision agriculture, and other tasks. Her research on skin image analysis — classification, synthesis, debiasing — has been recognized through several academic awards, including Google Research Awards for Latin America (2018, 2019, 2020).



Enzo completed his Engineering degree at UNICEN University (Tandil, Argentina, 2012); his PhD in Computer Sciences at Université Paris-Saclay (CentraleSupeléc / INRIA, 2016) in France; and worked as a postdoctoral researcher at Imperial College London (BioMedIA Lab, 2017) with Prof. Ben Glocker. He returned to Argentina where he holds a research scientist position from the Argentina's National Research Council (CONICET) and a lecturer position at Universidad Nacional del Litoral. He leads the Machine Learning for Biomedical Image Computing research line at the Research Institute for Signals, Systems and Computational Intelligence, sinc(i).