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Kourosh Darvish
Kourosh Darvish is a staff scientist and principal investigator at the Acceleration Consortium at the University of Toronto. Previously, he served as a postdoctoral researcher at the Computer Science and Robotics Institute of the University of Toronto (UofT) and was a member of the Vector Institute. Before joining UofT in 2022, he worked as a postdoctoral researcher at the Italian Institute of Technology (IIT). In 2019, he completed his PhD in Bioengineering and Robotics from the University of Genoa, Italy. He earned his B.Sc. and M.Sc. degrees in Aerospace Engineering from K.N. Toosi University of Technology and Sharif University of Technology (Tehran, Iran) in 2012 and 2014, respectively. His research focuses on robotics, reinforcement learning & control theory, computer vision, reasoning & planning, and shared autonomy.
Moritz Eckhoff
Moritz Eckhoff is a research associate and doctoral candidate at the Chair of Robotics and Systems Intelligence (RSI) at the Technical University of Munich (TUM), Germany, and a member of the Munich Institute of Robotics and Machine Intelligence (MIRMI). He received his M.Sc. in Electrical Engineering and Information Technology from TUM in 2021, specializing in Robotics and Automation. Prior to that, he obtained his B.Sc. in Electrical Engineering from Osnabrück University of Applied Sciences, Germany, in 2018. His research interests are Autonomous Scientific Discovery, Machine Learning and Optimization, Learning of Knowledge Discovery Processes, and Robotics in Life Sciences: Biotechnology, Pharmaceutical and Health Care.
Hatem Fakhruldeen
Hatem Fakhruldeen is the intelligent automation theme lead at the Leverhulme Research Centre for Functional Materials Design, University of Liverpool. He holds a PhD in Robotics and Autonomous Systems from the University of Bristol. His research interests are focused on robotic systems’ integration and robotic manipulation in the context of a chemistry laboratory. He has been leading the main robotics and automation research efforts in the Cooper Group to build various autonomous chemistry workflows. His latest work involves the development of the Autonomous Robotic Chemistry (ARChemist) system architecture, which is a novel robotic system architecture specifically designed for chemistry lab automation and management. Hatem is a passionate roboticist and software developer who is proficient in different programming languages and paradigms. In his free time, he loves to hike, exercise and play video games.
Andrea Gabrielli
Andrea Gabrielli is a Senior Scientist and the Program Manager for "Lab Automation for Biolabs" at the Chair of Robotics and Systems Intelligence (RSI)/Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich (TUM), Germany. He received his 5-year course degree in Mechanical Engineering and his Ph.D. in Artificial Intelligent Systems with focus on industrial robotics, both from the Polytechnic University of Marche, Italy. He also worked as a postdoctoral researcher at the University of Brescia, Italy, where he took part at different research projects mainly related to the automation field. His research focus, recently adapted to the context of Biolabs, ranges from concept and functional design to integration of mechatronic systems, from modelling and simulation to computer vision and manipulation.
Adam Heins
Adam Heins is a postdoctoral fellow at the Acceleration Consortium at the University of Toronto (UofT). He completed his PhD in Robotics at UofT in 2025. Previously, he received the B.A.Sc. degree in Mechatronics Engineering from the University of Waterloo. His research interests include robotic automation of chemistry labs and planning and control for mobile manipulation.
Dennis Knobbe
Dennis Knobbe is a senior research associate at the Chair of Robotics and Systems Intelligence (RSI)/Munich Institute of Robotics and Machine Intelligence (MIRMI) at Technical University of Munich (TUM), Germany. In 2016 he was awarded an MSc in electrical engineering and information technology, with a focus on control and systems theory, from the Christian-Albrecht University of Kiel. His research interests are modeling, analysis, and control of complex dynamic systems, optimal and adaptive control, as well as collective intelligence, systems biology, and knowledge discovery in the field of cell biology with the help of intelligent robotic systems and AI.
Gabriella Pizzuto
Gabriella Pizzuto is a Royal Academy of Engineering Research Fellow and Lecturer (Assistant Professor) in Robotics and Chemistry Automation at the University of Liverpool. Together with her new group, she is very excited to develop learning-based methods for upskilling robotic scientists towards accelerating material discovery. She was previously working as the lead research associate on the ERC Synergy Grant 'Autonomous Discovery of Advanced Materials' (ADAM) in the Cooper group. She was also a research associate at the Edinburgh Centre for Robotics working on physics-constrained learning and uncertainty estimation in robot dynamics model learning. She obtained her Ph.D. in Computer Science from the University of Manchester, where she was also a Marie-Sklodowska Curie early stage researcher and a visiting scholar at the University of Edinburgh and Italian Institute of Technology.
Naruki Yoshikawa
Naruki Yoshikawa is a senior researcher in the Materials Data Algorithms Group at the National Institute for Materials Science (NIMS), Japan. His research focuses on the automation of chemical experiments using robotic arms and large language models. He previously served as an assistant professor at the Institute of Science Tokyo. He obtained his PhD from the Department of Computer Science at the University of Toronto under the supervision of Alán Aspuru-Guzik. He received his master’s degree in 2020 and his bachelor’s degree in 2018, both from the University of Tokyo.
Henning Zwirnmann
Henning Zwirnmann is a research associate at the Munich Institute of Robotics and Machine Intelligence (MIRMI) and PhD student at the Chair of Robotics and Systems Intelligence of the Technical University of Munich (TUM), Germany. After he completed his BSc and MSc degrees in Physics at the University of Göttingen, he first worked as a data scientist for four years. During this time, he implemented solutions for topics such as algorithmic pricing and risk management based on huge amounts of textual data for customers from the automotive, retail and other industries. In December 2020, he joined MIRMI to start his PhD on the intersection of AI and robotics for the purpose of biolaboratory automation. His research interests include the management of big multimodal data and the integration of robotic and algorithmic solutions for microscopy automation.
Yuna Oikawa
Yuna Oikawa is a doctoral student at the University of Tokyo and a trainee at the National Institute for Materials Science (NIMS), Japan, working at the intersection of artificial intelligence and scientific discovery. Having a background in wet lab research in immunology and antimicrobial resistance, she is currently building on this foundation through AI-driven approaches to biology and materials science, with a focus on integrating computational models and experimental systems.
As part of her doctoral work, she is leading a collaboration with Sherry Yang (Google / New York University) on developing vision-language-action (VLA) robotic systems for autonomous web-based laboratories, aiming to enable intelligent, adaptive experimentation and accelerate scientific discovery.
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