Young AI Leaders Community All Members

Eva is a passionate and dedicated student pursuing a Bachelor’s degree in Computer Science and Earth Sciences at the University of Geneva. She has a strong interest in artificial intelligence, particularly in its applications for modeling and solving complex systems.
Her interdisciplinary background allows her to bridge the gap between computational sciences, environmental protection, and technological innovation. She is deeply committed to exploring how AI can be leveraged to drive sustainable progress while addressing global challenges such as climate change, resource optimization, and societal well-being.
Beyond her academic interests, Eva is highly versatile and solution-oriented. With experience in customer service, sales, reception, and event animation, she has developed excellent interpersonal skills, adaptability, and a strong ability to connect with people. Her natural curiosity and enthusiasm make her eager to explore new perspectives, collaborate with like-minded individuals, and contribute to innovative AI-driven solutions.
As a hardworking and passionate individual, she thrives in dynamic environments and enjoys taking on challenges. She values teamwork, positive energy, and open discussions, believing that the best ideas emerge from collective intelligence. Her interests extend beyond AI and academia—she is also deeply passionate about sports, art, nature, and the mountains. This appreciation for diverse experiences fuels her creativity and openness to new ideas.
As a member of the Young AI Leaders Geneva Hub, Eva is eager to learn, grow, and actively contribute to the community. She aims to bring her multidisciplinary perspective, strong work ethic, and collaborative spirit to the team. She is committed to making the most of this opportunity, engaging in meaningful discussions, and working towards impactful AI applications that benefit both society and the environment.

Facundo has a background in business administration and winemaking, which has allowed him to gain a global perspective on how organizations operate, as well as the importance of well-defined processes and the proper distribution of responsibilities.
It has also led him to get to know the natural processes that occur in the vineyard, as well as the biochemical processes that take place in wine.

Recently, he has developed a passion for programming, data science, and machine learning, so he is very excited to join innovative teams where he can use his skills to solve problems.

He is more than interested in projects that have a positive impact on society and improves communities lifestyles, especially those focused on sustainability.

Most importantly, Facundo enjoys working in environments where the individual growth of each team member is prioritized, through respect, kindness, and humbleness, where everyone can learn from each other. And at the same time fulfilling responsibilities and enjoying the beauty of the daily routine.

I am currently pursuing my  degree in embedded and mobile systems, with a strong focus in cybersecurity, mobile development,system analysis and data analytics. My academic journey and research are driven by a passion for solving complex problems through technology and innovation.

My current research centers around developing a machine learning model for predictive analytics using healthcare data via a mobile app, where I aim to bridge theoretical knowledge with practical application and I’m continuously exploring emerging trends.

In addition to research, I actively participate in academic collaborations, tech communities, and industry events, which help me stay current with evolving practices in the field. My goal is to contribute meaningful solutions to real-world challenges using cutting-edge solutions and data-driven insights.

Felix Rank co-founded the German Forum for Ethical Machine Decision Making (EME), a think tank for the responsible use of algorithms and Artificial Intelligence. In EME, leading experts from business, politics and science shape the ethical guidelines of the future in dealing with machine-aided decisions. The focus lies on promoting general awareness and creating transparency and understanding of the pitfalls in the use of artificial intelligence. EME is directly committed to protecting people and the environment by creating an institutional framework and strengthening the transfer between science and practice. Felix regularly gives keynotes and engages in policy discussions with stakeholders on a German and European level.

Felix is Practice Lead Machine Learning at a business & IT consultancy and currently Product Owner for Data Insights & Analytics P&C at a leading insurance company in Munich. He is leading the Data Insights & Analytics (DIA) Property & Casualty (P&C) team, working closely with the P&C business unit in Germany to identify use cases, develop customized data products and design their data analytics strategy in Germany.

In the World Economic Forum’s community, Felix is Global Shaper, WEF Agenda Contributor and Co-Curator for the Strategic Intelligence platform on the topics “Future of Work” and “Education”.

I am a connector and a builder. I enjoy working to understand the needs of a group intimately, then build frameworks and establish actions to actualise the product or service needed to attend to their needs and further the bigger mission. 

Community Building

Alongside my project work, community building is one of my passions. I focus on finding what the core needs and opportunities are in the space and then going above and beyond to actualise it. I do this by building stakeholder maps, conducting primary and secondary research and establishing an initial understanding of the dependencies within the space.

Learning pathway creation and delivery 

I started tutoring and mentoring during Law School and have continued to do so post. I taught Debating, Model United Nations and English Language and Literature. Later, I started developing and delivering learning pathways unique to each of my students. These are focused on their interests, building their critical thinking and confidence to actualise their goals. I continue to mentor three students and enjoy researching, creating and delivering my  fine tuned programs 

Project management

At work, my most recent achievement is: 

Accelerated the delivery of a new UK Government border security service by leading cross-functional teams, achieving MVP completion 6 weeks ahead of schedule

Aligned senior stakeholders on project vision, mission, and service adoption strategies by facilitating targeted workshops, ensuring a unified direction

Optimised Agile execution by developing structured project artefacts, enhancing planning, risk mitigation, and sprint efficiency|

Drove actionable improvements by designing and implementing a user testing framework involving 80+ organisations, leading to data-driven service enhancements

Empowered client teams through expert-led knowledge-sharing sessions on Landscape Analysis, Wireframing, and User Testing, strengthening their in-house capabilities

Fleur Prince currently serves as the Community Manager Programs at The Hague Tech, a hub for innovation and collaboration in the heart of the Netherlands. With extensive experience in community building, strategic communication, and partnership development, Fleur has successfully grown and engaged diverse communities. At Kickstart AI, she grew the community to over 7,500 members from 500 organizations through targeted strategies, organizing over 30 impactful tech meetups, and building 40+ partnerships with key AI-sector stakeholders.

Fleur’s professional foundation includes a Bachelor’s in International Communication and additional certifications in Social Media & Brand Management, as well as 100 Days of Code. Recognized for her contributions to the tech industry, she was nominated for the Diversity Leader in AI (2023) and AI Leader (2024) awards and AI Leader of the Year at the Women in Tech Global Awards (2024).

As a multilingual professional fluent in English, Dutch, and French, Fleur actively volunteers for programs such as Women in AI Benelux, advancing initiatives to promote gender diversity in technology and innovation. She is also the co-host of the “AI Insights” podcast, where she delves into the latest trends in artificial intelligence and their impact on society, particularly Gen Z.

Fleur’s dedication to fostering inclusive, innovative communities ensures she remains a driving force in the AI and tech ecosystem, building bridges between people, ideas, and industries.

I’m an AI Engineer and passionate technology enthusiast driven by the mission to use artificial intelligence for good. My work revolves around building intelligent systems that address real-world challenge especially those affecting underserved communities. From improving access to education and healthcare to streamlining agricultural systems and amplifying social impact initiatives, I believe AI holds the power to create meaningful change when applied responsibly.

With a background in software engineering and a deep curiosity for machine learning, natural language processing, and ethical AI practices, I strive to design solutions that are not only innovative but also inclusive and sustainable. I’m especially excited about collaborating on projects that bridge the gap between technology and humanity, making AI a tool for empowerment rather than exclusivity.

My journey with AI is rooted in purpose, and I’m always open to connecting with like-minded individuals, organizations, and movements that share the vision of using AI to build a better, more equitable future.

Francisca is a student research fellow at Laboratório de Instrumentação e Física Experimental de Partículas (LIP), working on RADEM, the radiation monitor aboard the JUICE mission, one of the European Space Agency (ESA)’s largest projects to explore Jupiter’s moons. Her research involves data analysis and simulation, focusing on detecting energetic charged particles and assessing their potential impact on the spacecraft.

Her interest in space exploration led her to pursue both a Bachelor’s and Master’s degree in Physics Engineering at Instituto Superior Técnico (IST), where she rediscovered her love for science. She is particularly passionate about interdisciplinary and applied physics, always integrating programming into her projects. During her Master’s, she spent a semester abroad in India, driven by both personal and academic curiosity. There, she was introduced to machine learning, sparking a new personal interest and opening new paths for research and innovation.

Throughout her journey in research and academia, Francisca was in close contact with science communication and community engagement, finding fulfillment in making complex scientific ideas accessible to a broader audience. This passion inspired her to join the Viseu Hub Young AI Leaders, where she can actively contribute to her local community, connecting her interests in technology and education, while providing a positive social impact.

François is a highly skilled and dedicated professional with a strong foundation in physics, having completed both a Bachelor’s and Master’s degree in the field. During their academic journey, they developed a keen interest in the intersection of physics and emerging technologies, particularly Artificial Intelligence (AI). This led them to specialize in AI during their Master’s program, where they dedicated half of their research to exploring its applications within the realm of physics and engineering.

Currently, François works as an R&D engineer, applying their expertise in physics and informatics to innovate and solve complex engineering problems. By leveraging their knowledge in physics, they approach problems from a unique perspective, bringing precision and analytical skills to the engineering challenges they tackle.

Throughout their career, François has become passionate about how AI can enhance various fields, from automating processes to optimizing designs and improving predictions. They are particularly interested in the potential of AI to revolutionize industries such as energy, manufacturing, and healthcare, where computational modeling and data analysis can lead to breakthrough advancements.

Their work as an R&D engineer is driven by curiosity and a desire to push the boundaries of what’s possible, combining the power of AI with the foundational principles of physics to create impactful solutions.

I’m a passionate tech enthusiast currently leading as the Google Developer Groups (GDG) On-Campus Lead at UICT. With a solid background in networking (CCNA), UX design, and Android development Enthusiast, I thrive on building innovative solutions that blend creativity and functionality. I’ve led and contributed to projects like Agri-smart and Dressify, transforming ideas from Figma prototypes to real applications using tools like Kotlin Jetpack Compose.

I’m also deeply enthusiastic about Artificial Intelligence and its power to solve real-world problems. Whether it’s moderating AI for Good & SDGs events or guiding students through hands-on tech workshops, I’m driven by the belief that AI—when used ethically—can transform lives and accelerate sustainable development. I’m always eager to explore new AI tools, learn, collaborate, and empower others through technology.

As Lead of the Young AI Leaders Zurich Hub within the UN’s AI for Good initiative, I focus on building a strong local community of young professionals who want to use AI responsibly and for social good. I bring together students, researchers, startups, companies, and public institutions to collaborate on real-world challenges linked to the UN Sustainable Development Goals. Through events, workshops, and partnerships, I create opportunities for learning, mentorship, and hands-on project work, helping ideas grow into ethical, practical, and impactful AI solutions that benefit society and the environment.

Building on this mission-driven work, I serve as a Senior Data & Business Development Consultant at Orange Business in Switzerland, where I help organizations design and implement end-to-end data platforms and analytics solutions enhanced with AI capabilities. I bridge business strategy and technology by combining hands-on consulting with presales and go-to-market leadership, ensuring that data and AI initiatives are aligned with real business outcomes. My focus spans modern data architectures, advanced analytics, and scalable AI-enabled platforms that turn data into a true strategic asset. By translating complex customer needs into clear, practical, and impactful solutions, I support organizations across their entire data and AI maturity journey and help create long-term, sustainable business value.

Alongside my professional work, I am pursuing an MSc in Data Management & Business Analytics at EDHEC Business School. I am also an active member of Leo Club Zurich, part of Lions Clubs International, where I participate in community-driven initiatives and social impact projects, contributing my time and skills to support local and global causes.

Gonçalo Chaves is a computational engineering master’s student at the University of Aveiro, with a keen interest in machine learning, deep learning, and AI-driven decision-making. Blending technical know-how with practical experience, he has a solid background in programming, computational modeling, and applied physics and is eager to apply AI-driven solutions to real-world challenges.

Gonçalo has managed teams and planned events in student organizations while holding leadership positions outside of the classroom. He obtained useful project management and networking experience as a member of the ENEEC 2023 communication team and as a logistical coordinator for the cultural group NRock-AAUav.

Using AWS products like SageMaker, Gonçalo has undergone an internship on Machine Learning models for ERP (Enterprise Resource Planning) optimization and has acquired some practical expertise with AI for manufacturing planning. Additionally, he has experience in software development, having been an intern on game development projects using Unity, C#, and GitHub.

Furthermore, throughout his academic path he also attended lectures that taught him about AI models, covering AI fundamentals, practical applications, and data analysis techniques. This allowed him to have some experience in a wide range of AI methodologies, from predictive modeling to deep learning and time series analysis.

His knowledge of AI and data science has grown steadily because of his work on projects involving software development and data-driven problem-solving. He is dedicated to using AI for ethical and sustainable developments and is passionate about innovation and interdisciplinary collaboration.

Gonçalo Marques is a Computer Science Engineering graduate from the Polytechnic Institute of Viseu, with a deep passion for artificial intelligence and data-driven solutions. His journey in technology has been driven by a desire to solve real-world problems and make a meaningful impact on society. With strong programming skills in Python and extensive experience in machine learning, he is committed to leveraging AI to create innovative and impactful solutions.

Throughout his academic and professional experiences, Gonçalo has actively sought opportunities to expand his knowledge and apply it in practical scenarios, such as object detection and recommendation systems. Recently, he has been working with medical devices and has gained valuable experience in the medical device industry. He contributed to the development of intelligent systems aimed at enhancing healthcare solutions.

Working with medical devices taught him the importance of precision, reliability, and ethical considerations in technology systems in healthcare. It was particularly rewarding for him to see how technology could improve patient outcomes and optimize healthcare processes. Gonçalo is passionate about leveraging his AI skills to serve the community and drive positive social impact. He believes that artificial intelligence has the potential to revolutionize public services, improve healthcare accessibility, and promote sustainability.

Hangyeol Kang is currently pursuing a PhD at the University of Geneva, Switzerland, specializing in deep learning, human-robot interaction, and embodied conversational agents. He earned a Master’s degree from the Institut Polytechnique de Paris in France, where he built a strong foundation in artificial intelligence.

His research focuses on advancing humanoid social robotics. As part of his PhD, he is contributing to the development of Nadine, one of the most realistic, socially intelligent humanoid robots, with the goal of enhancing the quality of human life and fostering more agreeable human-robot interactions.

Beyond his academic work, Hangyeol actively participates in global initiatives to showcase advancements in AI and robotics. He exhibited the social robot Nadine at the AI for Good Global Summit in 2023 and 2024, where he contributed to discussions about the future of AI-driven technologies. He also played a key role in scientific projects focused on developing an AI-powered surgical assistant for medical training, collaborating with medical doctors to create a robust medical dataset and developing AI system for the project.

Hangyeol envisions a future where AI-powered embodied agents are seamlessly integrated into human environments, fostering positive societal impact. Through his work, he aims to illuminate pathways for the agreeable and ethical acceptance of AI-powered robots, ensuring they serve as companions, collaborators, and tools for improving quality of life.

Systems Engineer with strong expertise in software testing, encompassing estimation, planning, test case design, and execution of both manual and automated tests. With over 11 years of experience in testing — including 2+ years of JavaScript programming and hands-on experience with Cypress and Selenium for UI automation — I have a proven track record of creating robust, scalable testing frameworks and managing extensive test case suites.

Skilled in REST API test automation and experienced in building test automation frameworks, I leverage tools like Postman and RestAssured to drive reliable API validation and integration testing. I integrate automated test suites with CI/CD tools such as Jenkins to streamline deployment pipelines, ensuring efficient and continuous delivery. My knowledge extends to component testing, BDD frameworks, and dependency mocking, along with proficiency in Agile methodologies and Scrum for effective project management and collaboration.

In recent years, I have started incorporating AI-driven tools and techniques into my workflow to further optimize testing and automation processes. I have experience using platforms like ManyChat, Make, Kommo, and ChatGPT to automate workflows and enhance website interactions. Additionally, I have begun developing autonomous selector generation using AI tools to reduce test maintenance and improve element recognition in dynamic interfaces.

I am a committed professional with a high level of responsibility, leadership abilities, attention to detail, and a collaborative approach to teamwork, dedicated to delivering high-quality, technology-driven solutions.

Haroon Khan is an ethical AI policy consultant, writer, and academic from Geneva, Switzerland. After having taught technology law and global affairs at universities in the Netherlands, he works independently via Axolotl Intelligence, where he leads workshops and designs curricula for professionals on media literacy, tech ethics, and human-centered AI use. 

Vestin completed a bachelor’s degree in History-Economics-Society at the University of Geneva. He then continued his studies with a Master’s in Socioeconomics from the same university. Currently, he is pursuing his PhD thesis in demography at the University of Geneva and is part of the NCCR on the Move. His thesis focuses on the impact of economic, health, and political crises on human migration and mobility in Switzerland. Outside academia, he serves as president of the association WeData, which promotes data science and programming. He also creates content on YouTube and teaches demography, data science, and AI at popular education entities.

Hendrick Rasgado Matus is a talented Software Engineer specializing in Web Development, AI Agents and Retrieval-Augmented Generation (RAGs), and Mobile Development. With a passion for innovation and cutting-edge technology, he has consistently demonstrated expertise in building intelligent systems and scalable applications.

His dedication to excellence has earned him multiple accolades, including the Medal of Honor Hermano Miguel Febres Cordero, a prestigious recognition for academic merit. In 2024, Hendrick secured first place in the NASA Space Apps Challenge Oaxaca, showcasing his ability to develop impactful solutions under pressure. Additionally, he emerged as the champion of the La Salle Code Challenge 2024, further solidifying his reputation as a top-tier problem solver in competitive programming environments.

Beyond software engineering, Hendrick is passionate about artificial intelligence, drones, and video games, always seeking to explore and integrate emerging technologies. His contributions extend beyond technical development, as he has also delved into scientific communication. He authored a scientific outreach text titled Quantically Insecure, which was published in Conversus, a magazine by the Instituto Politécnico Nacional. Through this work, he aims to make complex scientific concepts accessible to a broader audience.
With a strong foundation in technology and a drive for continuous learning, Hendrick continues to push the boundaries of innovation, striving to make a meaningful impact in the field of AI and software development.