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We are an independent AI lab working on foundational AI research and innovation projects for social good.

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Copyright © 2025 The Good AI Lab. All rights reserved.

Our Team

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

Pier Luigi Dovesi

AI Scientist @ AMD Silo AI

Chair of the Board

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

Jussi Karlgren

AI Scientist @ AMD Silo AI

Board Member

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

Saroosh Shabbir

AI Scientist @ AMD Silo AI

Board MemberSecretary

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

Lorenzo Andraghetti

AI Engineer @ AMD Silo AI

Board MemberTreasurer

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

Theodoros Panagiotakopoulos

ML Engineer @ King

Board MemberAuditor

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

Carlo Rapisarda

Software Engineer @ Geoguessr

Board Member

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

Hedvig Kjellström

Professor @ KTH

Advisor

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

Matteo Poggi

Assistant Professor @ University of Bologna

Advisor

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

Marina Visintini

Data Scientist @ The World Bank

Researcher

Marina is a data scientist and emerging social science researcher exploring how innovation, technology, and policy contribute to achieving sustainable development.

Riina Mathlin

Riina Mathlin

People Specialist @ AMD Silo AI

Community Manager

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

Alexander Aurell

AI Scientist and Manager @ AMD Silo AI

Researcher

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

Mattia Segù

PhD Candidate @ ETH & Google

Researcher

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

Silvio Mazzucco

Computer Vision Researcher @ Huawei

Researcher

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

Gianluca Villani

PhD Candidate @ University of Toronto

Researcher

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

Linus Härenstam-Nielsen

PhD Candidate @ TU Munich

Researcher

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

Leonardo Ravaglia

R&D Researcher @ IMEC

Researcher

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

Marc Botet Colomer

Software Engineer @ Google

Researcher

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

Carl Persson

AI Engineer @ AMD Silo AI

Researcher

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

Mark Granroth-Wilding

AI Scientist @ AMD Silo AI

Researcher

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

Adrian Yijie Xu

Manager at AMD-Silo AI

Researcher

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

Donato Crisostomi

ELLIS PhD Candidate at Sapienza University of Rome & University of Cambridge

Researcher

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

Khadija El Alami

Program facilitator @Collegial

Researcher

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.

Our Network

Google

AMD

Silo AI

King

KTH

University of Toronto

TU Munich

ETH Zurich