Jordi Arbiol graduated in Physics at Universitat de Barcelona in 1997, where he also obtained his PhD in 2001. Since 2015 he is ICREA Professor and Group Leader at Institut Català de Nanociència i Nanotecnologia (ICN2). He was President of the Spanish Microscopy Society (SME) (2017-2021) and Vice-President (2013-2017). Since 2019, he is Member of the Executive Board of the International Federation of Societies for Microscopy (IFSM). He is Scientific Coordinator of the Joint Electron Microscopy Center at ALBA Synchrotron (JEMCA) and Founder member of e-DREAM. Since 2023 he is Associate Editor of Nano Letters (ACS). He has published more than 470 scientific papers, with more than 30100 citations (GoS).

Professor Amanda Barnard is one of Australia’s most highly awarded computational scientists. She currently leads research at the interface of computational modeling, high performance supercomputing, and applied machine learning and artificial intelligence (AI). She was awarded her BSc (Hons) in applied physics in 2000, her PhD in theoretical condensed matter physics in 2003, and DSc in 2020 from RMIT University. After graduating she accepted a Distinguished Postdoctoral Fellow in the Center for Nanoscale Materials at Argonne National Laboratory (USA, 2003-2005), and the prestigious Violette & Samuel Glasstone Fellow at the University of Oxford (UK) with an Extraordinary Research Fellowship at The Queen’s College (2005-2008). Prior to joining ANU she was an ARC QEII Fellow, Office of the Chief Executive (OCE) Science Leader, and then Chief Research Scientist in Data61 at CSIRO (2009-2020). With more than 20 years experience in high performance computing and computational modeling and informatics, Prof Barnard sits on boards for various institutions. She has been recognised for leadership, and has been awarded in five scientific disciplines. She is a Fellow of the Australian Institute of Physics (FAIP), the Royal Society of Chemistry (FRSC), and in 2022 was appointed a Member the Order of Australia (AM).

Professor Juan Felipe Carrasquilla Alvarez (*1980), currently Assisstant Professor at the University of Toronto, Canada, as Associate Professor of Computational Physics in the Department of Physics. Juan Carrasquilla’s research focuses on the development of computational methods in physics. His work is particularly noted for the wide variety of approaches he uses, ranging from traditional algorithms and artificial intelligence through to quantum computing. He combines quantum Monte Carlo simulations with machine learning, for example. His appointment to the department will strengthen the area of computational physics and boost research in quantum computing.

I just moved to Institute of Science and Technology (IST) Austria as a Tenure-Track Assistant Professor on September 2021. Before I was a Departmental Early Career Fellow in the Computer Laboratory, University of Cambridge (11/2020– 08/2021), and a Junior research fellow at Trinity College (03/2019-). I did a PhD (09/2014–02/2019) in Materials Science at École Polytechnique Fédérale de Lausanne (EPFL), supervised by Michele Ceriotti, a Master's degree in The University of Hong Kong, and a joint Bachelor's degree in The University of Hong Kong & Shanghai Jiao Tong University.

Giulia Cisotto is Assistant Professor at the Department of Informatics, Systems and Communications of the University of Milano-Bicocca in Milan (Italy). She joined the REDSLab in January 2023. Before, she was post-doctoral Research Fellow (2015-2019) and Assistant Professor (2019-2022) at the Department of Information Engineering of the University of Padova in Padua (Italy) and Research Associate (2014-2015) at the Department of Biosciences and Informatics of Keio University in Tokyo (Japan).

Gabor Csanyi is Professor of Molecular Modelling in the Engineering Laboratory at the University of Cambridge. After a degree in mathematics at Cambridge and a PhD in computational physics at MIT, he did a postdoc in the Cavendish Laboratory before taking up a faculty position in Engineering. He has been working on applying machine learning to quantum mechanics for 15 years, focussing on chemical representations, encoding symmetries, and force fields - originally for materials and more recently for organic molecules.

Professor Gianaurelio Cuniberti holds since 2007 the Chair of Materials Science and Nanotechnology at the Technische Universität Dresden (TU Dresden) and the Max Bergmann Center of Biomaterials in Dresden, Germany. He is a member of the TU Dresden School of Engineering Sciences (Materials Science) and of the School Science (Physics). He studied Physics at the University of Genoa, Italy (where he got his B.Sc. and M.Sc.) and obtained his Ph.D. in 1997 at the age of 27 in a collaboration between the University of Genoa and the University of Hamburg, Germany. He was visiting scientist at MIT and the Max Planck Institute for the Physics of Complex Systems Dresden. From 2003 to 2007, he was the head of a Volkswagen Foundation Research Group at the University of Regensburg, Germany. His research activity is internationally recognized in more than 400 scientific journal papers to date. He initiated and organized numerous workshops, schools, and conferences and took part in international research training networks, offering extensive opportunities for young scientists. He has given plenary and invited talks at numerous international meetings. He serves as a referee for numerous high-impact journals, and for several funding research institutions including among others the EU, the German Science Foundation (DFG), the USA National Science Foundation (NSF), the German Israeli Foundation (GIF), and the Alexander von Humboldt Foundation. He received several talent scholarships and awards including the Max Planck Society Schloeßmann award (2001) and the VolkswagenStiftung Research Group Individual Grant (2003). He is a member of several scientific organizations and a corresponding member of the Umbrian Academy of Sciences. Gianaurelio Cuniberti is an Honorary Professor at the Division of IT Convergence Engineering of POSTECH, the Pohang University of Science and Technology since 2009, since 2011 Adjunct Professor for the Department of Chemistry at the University of Alabama, and since 2019 Guest Professor at SJTU. In 2018 he became a faculty member of the transcampus between TU Dresden and King’s College London. Professor Gianaurelio Cuniberti is an elected member of the European Academy of Sciences, of the Academia Europaea and of the Germany National Academy of Science and Engineering (acatech).

Andrea C. Ferrari earned a PhD in electrical engineering from Cambridge University, after a Laurea in nuclear engineering from Politecnico di Milano, Italy. He is Professor of Nanotechnology and the Director of the Cambridge Graphene Centre and of the EPSRC Centre for Doctoral Training in Graphene Technology. He is Fellow of Pembroke College, the American Physical Society, the Institute of Physics and the Materials Research Society. His research interests include nanomaterials growth, modelling, characterization, and devices. He was awarded the Royal Society Brian Mercer Award for Innovation, the Marie Curie Excellence Award, the Philip Leverhulme Prize, The EU-40 Materials Prize, The Royal Society Wolfson Research Merit Award. He is also the Chairman of the Executive Board of the EU Graphene Flagship

Nanyang Assistant Professor Kedar Hippalgaonkar is a NRF Fellow (Class of 2021) and a joint appointee with the Materials Science and Engineering Department at Nanyang Technological University (NTU) and as a Senior Scientist at the Institute of Materials Research and Engineering (IMRE) at the Agency for Science Technology and Research (A*STAR). He is leading the Accelerated Materials Development for Manufacturing (AMDM) program from 2018-2023 focusing on the development of new materials, processes and optimization using Machine Learning, AI and high-throughput computations and experiments in electronic and plasmonic materials and polymers. He was also leading the Pharos Program on Hybrid (inorganic-organic) thermoelectrics for ambient applications from 2016-2020.

Sergei V. Kalinin is corporate fellow at the Center for Nanophase Materials Sciences (CNMS) at Oak Ridge National Laboratory. His research interests include atom by atom fabrication, application of machine learning and artificial intelligence in atomically resolved and mesoscopic imaging to guide the development of advanced materials for energy and information technologies, as well as coupling between electromechanical, electrical, and transport phenomena on the nanoscale. He received his Ph.D. from the University of Pennsylvania in 2002, followed by a Wigner fellowship at ORNL (2002-2004). He is a recipient of the Blavatnik National Awards for Young Scientists (2018); RMS medal for Scanning Probe Microscopy (2015); Presidential Early Career Award for Scientists and Engineers (PECASE) (2009); IEEE-UFFC Ferroelectrics Young Investigator Award (2010); Burton medal of Microscopy Society of America (2010); ISIF Young Investigator Award (2009); American Vacuum Society Peter Mark Memorial Award (2008); R&D100 Awards (2008 and 2010); Ross Coffin Award (2003); Robert L. Coble Award of American Ceramics Society (2009); and a number of other distinctions. He has published more than 500 peer-reviewed journal papers, edited 4 books, and holds more than 10 patents. He has organized numerous symposia (including symposia on Scanning Probe Microscopy on Materials Research Society Fall meeting in 2004, 2007, and 2009) and workshops (including International workshop series on PFM and Nanoferroelectrics), and acted as consultant for companies such as Intel and several Scanning Probe Microscopy manufacturers. He is also a member of editorial boards for several international journals, including Nanotechnology, Journal of Applied Physics/Applied Physics Letters, and recently established Nature Partner Journal Computational Materials.

Boris Kozinsky studied at MIT for his B.S. degrees in Physics, Mathematics, and Electrical Engineering and Computer Science, and received his PhD degree in Physics also from MIT. He then worked at Bosch Research where he established the atomistic computational materials design team, before joining Harvard University. His group at the Harvard School and Engineering and Applied Sciences has pioneered computational and machine learning methods, such as equivariant and Bayesian force fields and nonlocal density functionals for materials. Applications of these methods include understanding electronic and atomistic mechanisms of transport, phase transformations, heterogeneous reactions, and nanomechanics.

Nicola Marzari has a "Laurea" degree in Physics from the University of Trieste (1992), and a PhD in physics from the University of Cambridge (1996). He moved to the US as an NSF postdoctoral fellow (Rutgers University, 1996-98), and then as a research scientist first at the Naval Research Laboratory (1998-99) and Princeton University (1999-01). In 2001, he was named assistant professor in computational material science at the Massachusetts Institute of Technology, where he was promoted to associate professor in 2005, and named Toyota Chair of Materials Engineering in 2009. After 10 years at MIT, Nicola Marzari joined the University of Oxford, as its first Statutory (University) Professor of Materials Modelling, and as Director of the Materials Modeling Laboratory.

Professor Sir Konstantin ‘Kostya’ Novoselov FRS was born in Russia in August 1974. He has both British and Russian citizenship. He is best known for isolating graphene at The University of Manchester in 2004, and is an expert in condensed matter physics, mesoscopic physics and nanotechnology. He was awarded the Nobel Prize for Physics in 2010 for his achievements with graphene. Kostya is Langworthy Professor of Physics and Royal Society Research Professor at The University of Manchester.He graduated from The Moscow Institute of Physics and Technology and undertook his PhD studies at The University of Nijmegen in the Netherlands before moving to The University of Manchester in 2001. Professor Novoselov has published more than 250 peer-reviewed research papers

Marin Soljačić received BsE degrees in physics and electrical engineering from Massachusetts Institute of Technology (MIT), USA and earned his PhD in physics from Princeton University, USA. He is currently a Professor of physics at MIT and is a founder of WiTricity, LuxLabs, as well as Lightelligence.

His main research interests are in artificial intelligence as well as electromagnetic phenomena, focusing on nanophotonics, non-linear optics, and wireless power transfer.

He is an international member of the Croatian Academy of Engineering. He has received many honors including a MacArthur Fellowship “genius” grant, the Blavatnik National Award, the Adolph Lomb Medal, and the Max Born Award. He received the Croatian President’s top medal for Science, "The Order of the Croatian Daystar, with the image of Ruđer Bošković" and was awarded "The Order of the Croatian Interlace" medal.

Anatole has been the inaugural Clark Chair in Advanced Materials at the Vector Institute and at University of Toronto since 2022. Prior to that he was a Full Professor for "Computational Materials Discovery" at the Faculty of Physics at the University of Vienna. From 2013-2020, Anatole held Associate and Assistant Professorship positions at the University of Basel, and the Free University of Brussels. Until 2013, he worked as an Assistant Computational Scientist at the Argonne National Laboratory’s Leadership Computing Facility. In spring 2011, he chaired the 3 months program, “Navigating Chemical Compound Space for Materials and Bio Design” at the Institute for Pure and Applied Mathematics at UCLA. From 2007 to 2010 Anatole was a Distinguished Harry S. Truman Fellow at Sandia National Laboratories. Anatole carried out postdoctoral research at the Max-Planck Institute for Polymer Research (2007) and at New York University (2006). He received a PhD in computational chemistry from EPF Lausanne in 2005. He performed his diploma thesis work within an Erasmus exchange program at ETH Zürich and the University of Cambridge. He studied chemistry as an undergraduate at ETH Zürich, the École de Chimie, Polymères, et Matériaux in Strasbourg, and at the University of Leipzig.