A collective of scientists, professors, engineers, researchers, and developers coming together from top universities, labs, and companies united by a passion for advancing AI research and driving social impact.
Pier Luigi Dovesi
AI Scientist @ AMD Silo AI
Pier is an AI scientist and researcher with a background in autonomous driving and generative AI, collaborating with universities and research labs worldwide. Pier has a long history of social engagement, actively contributing to initiatives that foster community development and advocate for social change.
Jussi Karlgren
AI Scientist @ AMD Silo AI
Jussi is a computational linguist and AI professor with a PhD in Computational Linguistics from Stockholm University. He specializes in natural language understanding and multilingual language processing, blending academic expertise with industry impact to improve human-machine interaction.
Saroosh Shabbir
AI Scientist @ AMD Silo AI
Saroosh holds a PhD in Quantum Optics from KTH and brings extensive industry experience in operations research, quantum computation, AI for logistics, and satellite imaging. She combines leadership with deep tech expertise. Saroosh is engaged in activism and initiatives that promote societal impact and address societal inequalities.
Lorenzo Andraghetti
AI Engineer @ AMD Silo AI
Lorenzo is a senior AI engineer and full-stack software developer with a strong passion for game development. In his most recent engagements, Lorenzo has developed large language models platforms.
Theodoros Panagiotakopoulos
ML Engineer @ King
Theo is a machine learning engineer with a strong background in MLOps, combining research insights with practical engineering skills. He is an experienced researcher in domain adaptation, bridging cutting-edge AI advancements with efficient, scalable deployments.
Carlo Rapisarda
Software Engineer @ Geoguessr
Carlo is a senior software engineer specialized in Machine Learning. During his six years of experience in the agency world, he has worked as tech lead & lead AI engineer for global brands such as Apple, IKEA, and 3M. He believes we share a profound obligation to direct AI toward positive impact and narrow social divides.
Hedvig Kjellström
Professor @ KTH
Hedvig is a professor and AI researcher with expertise in computer vision, machine learning, and human behavior modeling. She focuses on developing AI systems that interpret and interact with the physical and social world, bridging theoretical advances with real-world applications.
Matteo Poggi
Assistant Professor @ University of Bologna
Matteo is an assistant professor and AI researcher at the University of Bologna, specializing in computer vision and deep learning. His work focuses on 3D perception, stereo vision, and scene understanding, with applications ranging from robotics to autonomous systems.
Marina Visintini
Data Scientist @ The World Bank
Marina is a data scientist and emerging social science researcher exploring how innovation, technology, and policy contribute to achieving sustainable development.
Riina Mathlin
People Specialist @ AMD Silo AI
Riina is a people specialist responsible for employee wellbeing, engagement, and lifecycle management. She brings expertise in organisational development and process improvement. She holds MSc in Economics and Business Administration and a BBA in HR Management.
Alexander Aurell
AI Scientist and Manager @ AMD Silo AI
Alexander is an AI scientist and manager with a PhD in mathematics from KTH and postdoctoral work at Princeton, specializing in game theory and modeling for finance and epidemiology. He also brings extensive machine learning expertise for logistics.
Mattia Segù
PhD Candidate @ ETH & Google
Mattia is a researcher specializing in computer vision and machine learning. His work focuses on label-efficient multiple object tracking, domain generalization, and uncertainty estimation. Mattia combines deep theoretical expertise with practical applications, contributing to advancements in AI and computer vision.
Silvio Mazzucco
Computer Vision Researcher @ Huawei
Silvio is a computer vision researcher at Huawei. Previously at the Computer Vision Lab at ETH Zurich, he specialized in multimodal AI and domain adaptation.
Gianluca Villani
PhD Candidate @ University of Toronto
Gianluca is a researcher at the University of Toronto, specializing in the modeling, analysis, and control of biological systems. He combines expertise in AI, mathematics, and control to tackle complex interdisciplinary challenges.
Linus Härenstam-Nielsen
PhD Candidate @ TU Munich
Linus is a researcher with extensive expertise in computer vision, focusing on learning-based methods, SLAM, and 3D representation. With a strong background in mathematics, robotics, and autonomous systems, he bridges academic research and industry innovation.
Leonardo Ravaglia
R&D Researcher @ IMEC
Leonardo is a researcher and AI engineer with expertise in autonomous driving and simulation environments. He brings experience in on-device training for ultra-low-power AI accelerators and continual learning, developed during his time at the University of Bologna.
Marc Botet Colomer
Software Engineer @ Google
Marc is an AI R&D deep learning engineer with a strong background in autonomous driving. He is an active researcher specializing in domain adaptation and real-time training.
Carl Persson
AI Engineer @ AMD Silo AI
Carl is an AI engineer specializing in GPU optimization and diffusion models. He is also an researcher, focusing on 3D generative models and domain adaptation.
Mark Granroth-Wilding
AI Scientist @ AMD Silo AI
Mark is an AI Scientist with an academic background in Computational Linguistics, including work in Digital Humanities, Computational Creativity and Music Cognition. He has industry experience in a wide variety of applications of NLP and is passionate about applying technology for societal good.
Adrian Yijie Xu
Manager at AMD-Silo AI
Adrian works as Manager at AMD-Silo AI, and previously as a Lead AI Scientist. He holds a PhD from University College London on Materials Science, and is passionate about exploring opportunities for AI within the domains of the natural sciences.
Donato Crisostomi
ELLIS PhD Candidate at Sapienza University of Rome & University of Cambridge
Donato Crisostomi is an ELLIS PhD student at Sapienza University of Rome and the University of Cambridge, leading the "Model Reuse" work package of the 1.5M€ NEXUS project on model merging and representational alignment. Previously Research Scientist at Amazon Alexa and Applied Scientist at Amazon Search, he combines foundational research with strong hands-on applied science experience.
Khadija El Alami
Program facilitator @Collegial
Khadija is a Learning and Development specialist with expertise in managing educational programs in tech, including web development, digitalisation, and AI. She combines hands-on experience in facilitation, training, and learning design with an academic background in computer engineering and leadership.