I'm
João Braz
AI Researcher, SW/AI Engineer, Arts Enthusiastic, Musician
With a lifelong passion for computer science ignited by my father's work in coding, I specialize in Software Development and AI. From my roles at Sentilant, driving predictive analytics for road accidents and planning routes for heavy vehicles, to leading product development at Cron.Studio across diverse sectors, I am passionate about my digital journey. Beyond the realms of technology, my heart finds solace in the artistry that surrounds us. Whether weaving intuitive interfaces, exploring the innovative interplay of AI in creative expression, or harmonizing melodies with my guitar and vocals, the fusion of art and engineering remains the heartbeat of my odyssey.
University of Coimbra | 2020 - 2024
My main research topic is the development of deep generative models for the creation of synthetic data represented as graphs. As a result, I have been applying AI to generate novel and realistic graphs in several contexts, such as in generating synthetic vascular networks for medical applications. Furthermore, I have been contributing to projects involving digital arts, such as the “FORMS” project. The goal is to employ body detection as a means for interactive performance mediation
University of Coimbra | 2014 - 2016
The MSc in Informatics Engineering was a 2-year program that provided advanced training in several areas of computer science, including software engineering and AI. My thesis was entitled "Multi-Agent Simulator of Aircraft Evacuation”, a project in collaboration with Embraer. The goal was to develop a multi-agent model capable of simulating the evacuation of an aircraft in case of emergency, providing a testbed for testing innovative evacuation strategies.
University of Coimbra | 2011 - 2014
The BSc in Informatics Engineering was a 3-year program that provided a solid foundation in computer science.
Cron.Studio | 2000 - Present
Cron.Studio is a startup studio that builds technological solutions from the very beginning to the first MVP. As co-head of software, I am responsible for successfully delivering technological products for startups operating in different fields: smart-lockers, water management, fitness and health, disruptive research, among others.
CISUC | 2021 - Present
Building AI models in several contexts. I applied AI to innovate in the fields of arts and medicine. I contributed to the “FORMS” project, showcased at SIGGRAPH Los Angeles 2023. In the realm of medicine and biology, my work involved creating deep generative models capable of producing synthetic spatial graph structures, simulating complex systems across multiple disciplines.
Sentilant | 2017 - 2019
Backend development with Python. I was also responsible for developing, improving, and customizing a vehicle route optimization system built in Java. This involved incorporating a machine learning model to predict heavy vehicle accidents. The model was trained with historical data on past accidents, weather conditions and driver history.
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