Ricardo Michel Reyes (Mexico) is considered one of the "gurus" in Artificial Intelligence of his generation. It all began when he was 8 and he learned to develop software with a book called "Learn Visual Basic in 24 hours". From there he learned C and then other web and mobile programming languages with internet tutorials. He discovered Artificial Intelligence in 2009 and since then he has not stopped researching and developing Neural Networks for computer vision and Natural Language Processing. At the age of 14 he created an application to digitize classics such as "The Iliad" and "The Little Prince", making these books available to young people through the Mexican company: Crabapps.
He has founded other companies related to apps and AI. One of them, Piktia, has raised 350,000 USD of investment. He gives conferences on entrepreneurship and Artificial Intelligence, Swift courses, data science and machine learning in schools in Mexico, as well as in private companies. In addition, he has participated in public policy as a permanent guest of the Artificial Intelligence and Deep Learning subcommission of Mexico as a founding member of IA2030MX. He has been a member of the Mexican Society of Artificial Intelligence and an external technical consultant for the Development Bank of Latin America.
He has founded Billioneurons, a global investment fund that invests in technologies such as Artificial Intelligence, Quantum Computing and Biotechnology with a focus on social welfare and advancing the state of the art technology of humanity. Nowadays, he is the CTO of Erudit AI and he leads the AI and technological part of the company.
He has several certifications in Convolutional Neural Networks; Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; Neural Networks and Deep Learning and Structuring Machine Learning Projects by DeepLearning.AI. Moreover, he has a certificate of “Machine Learning Foundations: A case study approach” by the University of Washington.
Cristina Pérez (Spain) is a psychologist with a master degree in Brain and Behavior Research, where she was awarded a scholarship by the Spanish Santander Bank. During those years, she was a member of a research group called ‘Neuropsychology and Functional Neuroimaging’ at the Jaume I University. She wrote an article titled ‘Two different brain networks underlying picture naming with native and newly learned words’ that is pending to be published.
Once she finished her master's degree, she attended a Data Science Bootcamp where she had a Side Project about Deep Learning in Brain Tumor Detection. Nowadays she is doing a PhD Research in the analysis of burnout risk through Neural Networks for Natural Language Processing with Bidirectional Encoder Representations from Transformers (BERT). Moreover, Cristina is a member of the Emerging Psychological Treatments research group at the Jaume I University.
Cristina enjoys writing and sharing her knowledge with the community and she is a freelance writer in OpenExpoEurope, a Technological Innovation, Digital Transformation and Open Source publication.
Claudia García (Spain) is a psychologist that holds two master degrees, one in ‘Neuropsychological Evaluation Rehabilitation’ by the University of Camilo José Cela and another one in ‘Basic and applied Clinical Neuropsychology’. She is currently finishing her third master's degree in 'General Health Psychology' by the European Higher University Center, where she is doing research about the use of AI for detecting the burnout syndrome. She has participated in the 10th International Congress for the study of violence against women. Moreover, she has collaborated in the ‘Neuropsychological Battery Executive Function’ (BANFE) at the University of Almería.
She has been published as first author of an article titled ‘Analysis of the cognitive and affective consequences of gender violence in relation to the type of abuse’ at the journal ‘Ansiedad y estrés’. Nowadays, she is a reviewer at that journal and in the magazine “Asistencia, gestión, investigación y docencia en Enfermería’.