< Back Laura Zuluaga Pineda Biología Computacional e Innovación en Salud Laura Zuluaga Pineda es candidata a MSc en Biología Computacional en Universidad de los Andes, con formación en Biología y Microbiología. Su trabajo se centra en la intersección de la inteligencia artificial, el análisis de datos ómicos y la innovación traslacional en salud. Laura participa activamente en la construcción del ecosistema AI for Good en América Latina, desempeñando roles de liderazgo que conectan talento multidisciplinario, investigación y la implementación práctica de soluciones de IA. Le interesa especialmente acelerar la adopción responsable de IA en salud, biotecnología y desarrollo regional. A través de su trabajo, Laura busca ayudar a posicionar a América Latina no solo como consumidora de tecnologías de IA, sino también como creadora de soluciones impactantes y de relevancia global. Conéctate con más líderes o explora el Corredor de IA de las Américas: https://www.racefor.ai/aicorridor

< Back Maria Gabriela Busellini Lawyer & Mediator | AI & Law Expert Gabriela Busellini is a lawyer & mediator specialized in AI As a legal expert at the intersection of law and artificial intelligence, she is dedicated to protecting fundamental rights and promoting algorithmic ethics. Affiliated with the Cátedra Internacional ENIA, she advises on the regulation of automated systems, ensuring technological innovation respects dignity, transparency, and non-discrimination. She combines precise legal analysis with advanced mediation and conflict resolution skills, focusing on regulatory compliance (AI Act) and leading the transition toward human-centered digital governance. Passionate about academia and outreach, she bridges the gap between technology and law, ensuring legal certainty in digital transformation contexts. Connect with the leaders or explore the AI Corridor of the Americas: https://www.racefor.ai/aicorridor prensa@genia.ai

< Back Louis-François Bouchard Co-Founder | AI Engineer & LLM Practitioner Louis-François Bouchard is the co-founder of Towards AI, where he builds and teaches a practical toolkit for shipping reliable LLM products. He co-authored Building LLMs for Production, a hands-on guide to prompting, fine-tuning, retrieval augmented generation, and evaluation. Through Towards AI Academy, he has launched multiple in-depth courses for AI engineers, designed to turn developers into AI professionals who can transform prototypes into scalable, customer-ready systems. He also runs the What’s AI YouTube channel and newsletter, translating new research and best practices into clear engineering playbooks for 70K+ subscribers and tens of thousands of readers. Today, he partners with founders and organizations on AI strategy, training design, and production workflows that raise accuracy, reduce risk, and make generative AI useful for paying customers, and he speaks at events such as Uphill Conf. Connect with more leaders or explore the AI Corridor of the Americas: https://www.racefor.ai/aicorridor prensa@genia.ai

< Back Reynaldo Villarreal Experto Innovación y Transformación Digital Reynaldo Villarreal es PhD en Gestión de la Tecnología y la Innovación, Magíster en Gestión del Emprendimiento Tecnológico e Ingeniero de Sistemas. Investigador Senior reconocido por Minciencias, se especializa en inteligencia artificial, analítica avanzada y tecnologías emergentes para resolver desafíos complejos en sectores como salud, fintech, medio ambiente y transformación digital. Ha liderado equipos multidisciplinarios en investigación aplicada, desarrollo tecnológico e innovación, y es inventor de patentes en sensores autónomos, visión computacional y sistemas inteligentes, con múltiples publicaciones científicas en IA y procesamiento de señales. Actualmente dirige Audacia, centro de investigación en IA y robótica de la Universidad Simón Bolívar, reconocido como Centro de Excelencia por la OEA, liderando proyectos de alto impacto tecnológico en América Latina. Paralelamente, es CTO de la fintech Liquitech y cofundador de UFOTECH S.A.S., empresa de software avanzado e inteligencia artificial enfocada en soluciones para acelerar la transformación digital de organizaciones mediante datos y algoritmos inteligentes. Conéctate con más líderes o explora el Corredor de IA de las Américas: https://www.racefor.ai/aicorridor

< Back Anna Lagos Editor-in-Chief Covering AI in Latin America Anna Lagos is a journalist, science communicator, and professor focused on the intersection of technology, science, and society in Latin America. She serves as Editor-in-Chief of WIRED en Español, where she leads editorial coverage on the rapid advancement of artificial intelligence across the region. Her work examines how emerging technologies—particularly AI—are shaping economies, knowledge systems, and public discourse in Latin America. She also writes extensively about the role of women in science and technology, highlighting the voices and contributions of researchers, innovators, and leaders driving change in the region. Anna Lagos has collaborated with major international and Latin American media outlets including El País, Gatopardo, Reforma, and Entrepreneur. Her journalism combines rigorous reporting with public-facing science communication that helps broader audiences understand the implications of emerging technologies. She is a member of the Red Mexicana de Periodistas de Ciencia and holds a degree in Communication with a master’s in Marketing and Advertising from Universidad Iberoamericana. Connect with more leaders or explore the AI Corridor of the Americas: https://www.racefor.ai/aicorridor prensa@genia.ai

< Back Yudi Guzmán AI Researcher Specializing in NLP, Causal ML & Responsible Generative AI Yudi Guzmán is an artificial intelligence researcher specializing in natural language processing, causal inference, and the generation of synthetic data using large language models. She is currently a PhD candidate at the University of Granada (Spain), where her research explores the integration of language models with econometric methods to analyze causal effects in AI-assisted annotation tasks. Yudi also serves as an Assistant Professor and Researcher at the National University of San Marcos (Peru), where she teaches artificial intelligence, software engineering, and research methodology. Her work integrates computational methods, statistical modeling, and experimental design to strengthen the methodological foundations of artificial intelligence research. Her interests include trustworthy and explainable AI, causal machine learning, and the responsible use of generative models in scientific research and education. Connect with more leaders or explore the AI Corridor of the Americas: https://www.racefor.ai/aicorridor prensa@genia.ai

< Back Yudi Guzmán Investigadora en IA especializada en PLN, aprendizaje automático causal y IA generativa responsable. Yudi Guzmán es investigadora en inteligencia artificial, especializada en procesamiento del lenguaje natural, inferencia causal y generación de datos sintéticos mediante modelos de lenguaje de gran escala. Actualmente es candidata a doctorado en la Universidad de Granada (España), donde su investigación explora la integración de modelos de lenguaje con métodos econométricos para analizar efectos causales en tareas de anotación asistidas por inteligencia artificial. Además, se desempeña como profesora asistente e investigadora en la Universidad Nacional Mayor de San Marcos (Perú), donde imparte cursos de inteligencia artificial, ingeniería de software y metodología de la investigación. Su trabajo integra métodos computacionales, modelado estadístico y diseño experimental para fortalecer los fundamentos metodológicos de la investigación en inteligencia artificial. Sus intereses incluyen la inteligencia artificial confiable y explicable, el aprendizaje automático causal y el uso responsable de modelos generativos en la investigación científica y la educación. Conecta con más líderes o explora el AI Corridor of the Americas: https://www.racefor.ai/aicorridor

< Back Hayde Martínez Founder & AI Leader Hayde Martínez is the founder of “De Cero a Ciencia de Datos,” an educational initiative aimed at increasing the number of professionals focused on Data Science in Mexico. She is also the Director of AI & Data at Novartis. She has over 16 years of experience in the technology industry, with more than 10 years focused on Data and Machine Learning. Hayde has worked at technology companies such as HP, Intel, and Wizeline. She regularly provides training and participates in various tech talks, as one of her goals is to ensure that Data Science reaches every corner of the world. She advocates for inclusion in the technology industry and firmly believes that a better world can be created through technology. She holds a postgraduate degree in Artificial Intelligence from the Kanazawa Institute of Technology in Japan and a Master's in Data Science from ITESO. In 2023, she received the “AI in Industry Award - AI Innovator of the year” from Women in AI North America. Connect with the leaders or explore the AI Corridor of the Americas: https://www.racefor.ai/aicorridor prensa@genia.ai

< Back Ludivina Facundo Flores Leader in Robotics and AI Dr. Ludivina Facundo holds a PhD in Science in Robotics and Advanced Manufacturing, specializing in Robotics and Artificial Intelligence, from CINVESTAV Saltillo, as well as a Master of Science in Biomedical Engineering and Physics from CINVESTAV Monterrey. Throughout her career, she has published multiple papers in indexed journals and outreach publications, primarily in areas such as neural network control, ultrasonic inspection, and X-ray inspection. Currently, she serves as Chief Artificial Intelligence Officer at the Industrial Innovation Center for Artificial Intelligence (CII.IA), where she is responsible for developing Artificial Intelligence training programs for various sectors including manufacturing, retail, journalism, petrochemicals, and banking, among others. She also leads the design and management of advanced solutions for industry, driving innovation and digital transformation across multiple sectors. Connect with more leaders or explore the AI Corridor of the Americas: [ https://www.racefor.ai/aicorridor](https://www.racefor.ai/aicorridor) prensa@genia.ai

< Back Huberth Manuel Jara Trujillo Technology Entrepreneur – AI Applied to Fashion and Digital Commerce Huberth Jara Trujillo is a business administrator and technology entrepreneur at the intersection of artificial intelligence, fashion, and digital commerce. He holds a Master’s in Digital Transformation from Italy, specializing in innovation, technology, and digital business models. He is the founder and CEO of FASHI, an AI-powered social commerce platform designed to transform how people discover, try, and buy clothing. With over a decade of experience in digital marketing, e-commerce, and product development, Huberth develops AI and computer vision solutions for the fashion industry from Berlin, aiming to create the first tech unicorn led by a Peruvian from Europe. Connect with more leaders or explore the AI Corridor of the Americas: [ https://www.racefor.ai/aicorridor](https://www.racefor.ai/aicorridor) prensa@genia.ai

< Back Carolina Veas Mufdi Expert Lawyer in Technology and AI Regulation Carolina Veas es abogada experta en regulación tecnológica y gobernanza de inteligencia artificial, con más de 15 años de experiencia asesorando en los estudios jurídicos internacionales más relevantes en Chile, enfocándose en clientes de Latinoamérica y Europa. Su trayectoria comenzó en libre competencia, especialmente en mercados digitales, y posteriormente se consolidó en la regulación de criptoactivos, liderando la apertura de las primeras cuentas bancarias para intermediarios cripto en Chile. En los últimos tres años, ha concentrado su práctica en IA responsable, diseñando marcos de gobernanza, gestión de riesgos y cumplimiento alineados con estándares internacionales. Es profesora de inteligencia artificial y regulación digital, expositora en foros internacionales y cuenta con un LL.M. en Regulation por University College London (UCL). Conéctate con los líderes o explora el Corredor de IA de las Américas: https://www.racefor.ai/aicorridor prensa@genia.ai

< Back Pablo Guzzi Chief Data & AI Officer Pablo is Chief Data & AI Officer at Ualá, where he leads the data, analytics, and artificial intelligence strategy to drive innovation at one of the most prominent fintech companies in Latin America. With more than 15 years of experience, he has developed Data & Analytics initiatives across banking, fintech, energy, retail, education, and entertainment. In addition to his extensive experience, he holds a Bachelor’s degree in Statistics from Universidad Nacional de Tres de Febrero, a Master’s degree in Data Mining & Knowledge Discovery from Universidad de Buenos Aires, and an MBA from Universidad Torcuato Di Tella. He also serves as a professor at the Universidad Nacional de Tres de Febrero, Director of the Data & Analytics program at Coderhouse, a professor at Universidad de San Andrés, and an active member of communities such as CDO Latam and Club CDO España. Connect with more leaders or explore the AI Corridor of the Americas: https://www.racefor.ai/aicorridor prensa@genia.ai