Dr. rer. nat. Nongnuch Artrith (https://github.com/atomisticnet) is an Assistant Professor at the Debye Institute for Nanomaterials Science, Utrecht University. Previously, she was a Research Scientist in Chemical Engineering at Columbia University, USA, with partial support from the Center for Functional Nanomaterials at Brookhaven National Laboratory. She is also a PI at the Columbia Center for Computational Electrochemistry.
She obtained her PhD in Theoretical Chemistry from Ruhr University Bochum, Germany, and completed postdoctoral research at MIT and UC Berkeley. In 2019, she was named a Scialog Fellow for Advanced Energy Storage. Since 2023, Nong is a member of the NL ARC CBBC (https://arc-cbbc.nl ).
Nong is one of the main developers of the open-source Atomic Energy Network (ænet), a software package for machine learning in materials science. Her research focuses on developing and applying first-principles and machine learning methods to discover energy materials and interpret experimental observations, with applications in batteries, catalysis, and spectroscopy at interfaces.

A former student of ENS Cachan (now ENS Paris‑Saclay), Alain Aspect is a professor at the Institut d’Optique–Université Paris‑Saclay, an honorary professor at École Polytechnique, and an emeritus research director at CNRS. He is a member of the French Academy of Sciences, the Academy of Technologies, and numerous foreign scientific academies.
His work on fundamental quantum phenomena involving photons and atoms has earned him many awards in France and abroad, including the 2022 Nobel Prize in Physics for his “experiments with entangled photons, establishing the violation of Bell inequalities and paving the way for quantum information science.” After carrying out this research at the Institut d’Optique between 1975 and 1982, he joined Claude Cohen‑Tannoudji’s group at ENS Paris, exploring laser cooling of atoms (Nobel Prize 1997). In 1993, he created at the Institut d’Optique a research group active in the field of quantum atomic optics and neutral‑atom quantum simulators.

Antoine Browaeys is an experimental physicist specializing in quantum physics. He works at the Charles Fabry Laboratory of the Institut d’Optique. His research aims to understand the quantum properties of systems composed of many particles in situations that remain beyond the reach of current theoretical or numerical methods. These are often cases in which interactions between particles play the dominant role.
One way to make progress is to build synthetic quantum systems atom by atom and control their interactions using lasers in order to study model many-body systems. In the laboratory, this involves cooling, trapping, manipulating, and observing individual atoms. The goal is to develop an intuitive understanding of these interacting systems and to stimulate theoretical advances that can be applied to the understading of phenomena such as quantum magnetism and high-temperature superconductivity.
Beyond these fundamental research challenges, such synthetic systems, also known as quantum simulators, could help solve practical problems of logistical or industrial interest. These prospects led to the creation of the startup PASQAL, of which Antoine Browaeys is one of the co-founders.

Markus J. Buehler is the McAfee Professor of Engineering at MIT and a pioneer in superintelligence for scientific discovery across multiple fields, ranging from materials science to bioology. His research combines molecular and multiscale modeling, generative AI, and experimental synthesis and characterization to understand and design materials with tailored mechanical, optical, and biological properties.
Buehler pioneered the field of materiomics, connecting the structure and behavior of hierarchical materials across scales to their function and performance. His work spans bio-inspired materials, protein design, fracture mechanics, and additive manufacturing. More recently, he has developed multi-agent AI platforms and decentralized swarms that integrate knowledge across disciplines, formulate and evaluate hypotheses, and support autonomous scientific discovery in materials science, engineering, biology, and healthcare. He is also a startup founder, board member, and advisor, helping translate emerging technologies into real-world applications.
He has held major leadership positions at MIT and in the broader engineering community, served as President of the Society of Engineering Science (SES), and serves as Editor-in-Chief of the Journal of the Mechanical Behavior of Biomedical Materials. Buehler has contributed to national science policy through committee work with the National Academies of Sciences, Engineering, and Medicine (NASEM) and congressional briefings on artificial intelligence and its applications to scientific discovery.
Buehler is a member of the U.S. National Academy of Engineering, a Fellow of the Royal Society of Chemistry, and a Fellow of the American Institute for Medical and Biological Engineering. His honors include the Feynman Prize, ASME Drucker Medal, J. R. Rice Medal, and the Washington Award. For more than a decade, he has also taught executive and technical professionals at MIT.

Michele Ceriotti is a professor at EPFL, where he leads the laboratory for Computational Science and Modeling and directs the Institute of Materials. His research interests are rooted in the atomistic-scale modeling of matter bridging quantum mechanics, statistical physics and machine learning. He has contributed modeling insights into several classes of materials, from water and aqueous systems to molecular crystals, functional materials, metallic alloys and high-entropy compounds. He is a vocal advocate of open science and open software, leading the development of several open-source modeling tools including http://metatensor.org, http://ipi-code.org and http://chemiscope.org.

Kamal Choudhary is an assistant professor in the Department of Materials Science and Engineering, with a joint appointment in electrical and computer engineering. His research focuses on atomistic materials design using classical mechanics, quantum mechanics, and machine learning methods to accelerate experimental discovery. Choudhary served as a staff scientist at the National Institute of Standards and Technology (NIST). He is the creator of the widely used JARVIS (Joint Automated Repository for Various Integrated Simulations) infrastructure for materials design, hosted at NIST. He is also the developer of AtomGPT.org and ChatGPT Material Explorer, custom AI agents for materials science.
At AtomGPTLab, his work bridges theory, simulation, and artificial intelligence to advance the discovery and design of materials for applications in electronics, energy, and quantum technologies. His research interests include condensed matter physics, density functional theory, force fields, graph neural networks, large-language models and quantum computing algorithms. He has contributed to the computational discovery of materials such as 2D materials, solar absorbers, topological insulators, superconductors, thermoelectrics, metal-organic frameworks, and dielectrics.

Ignacio Cirac graduated in Theoretical Physics at the Complutense University of Madrid (Spain) in 1988, and gained his PhD in 1991 at the same university. Between 1991 and 1996, he was Associate Professor at the University of Castilla-La Mancha (Spain), and spent eighteen months at the University of Colorado (US) working with Peter Zoller. From 1996 until 2001 he was Professor of Theoretical Physics at the University of Innsbruck (Austria). Since 2001 he is a member of the Max Planck Society and director at the Max Planck Institute of Quantum Optics (Garching, Germany). In 2002 he also became honorary professor at the Technical University of Munich.
His field of research is quantum information theory. With his collaborators, he introduced the first proposals of quantum computers, simulators, and repeaters with atoms, and developed a theory of tensor networks to describe quantum many-body systems.

Sandip De leads the Quantum Mechanical Simulation for Solid-State Materials & Inorganic Chemistry team at BASF SE in Ludwigshafen. His expertise spans heterogeneous catalysis, inorganic chemistry, atomistic materials modelling and machine‑learning approaches for materials discovery.
Originally from India, he completed his PhD at the University of Basel under Stefan Goedecker, followed by research positions at IBM Research India and EPFL in Michele Ceriotti’s group. He joined BASF in 2018, where he develops computational and data‑driven methods to accelerate materials innovation.
He is a highly cited researcher with influential contributions to quantum simulations, machine‑learning potentials and materials informatics.

Dr. Juan de Pablo is the University’s inaugural Executive Vice President for Global Science and Technology, and the Executive Dean of the NYU Tandon School of Engineering. He leads cross-University, multidisciplinary, and globally focused efforts to accelerate the momentum of NYU’s vast science and technology enterprise for the purposes of solving humanity’s largest challenges.
A prominent materials scientist and chemical engineer, de Pablo’s research focuses on polymers, biological macromolecules such as proteins and DNA, glasses, and liquid crystals. He is a leader in developing molecular models and advanced computational approaches to elucidate complex molecular processes over wide ranges of length and time scales. He has developed advanced algorithms to design and predict the structure and properties of complex fluids and solids at a molecular level, and has been a pioneer in the use of data-driven machine learning approaches for materials design.

Volker Deringer studied chemistry at RWTH Aachen University (Germany), where he obtained his diploma (2010) and doctorate (summa cum laude, 2014) under the guidance of Richard Dronskowski.
In 2015, he moved to the University of Cambridge as a fellow of the Alexander von Humboldt Foundation; in 2017, he was awarded a Leverhulme Early Career Fellowship at the same institution. He joined Oxford as an Associate Professor in September 2019 and was awarded the title of Professor of Materials Chemistry in August 2025.
In addition to his research and teaching responsibilities in the Department, Volker is a Tutorial Fellow at St Anne's College, Oxford. He currently teaches first- and second-year Inorganic Chemistry at St Anne's and Oriel Colleges.

Fernanda Duarte pursued both her undergraduate and graduate studies at the Pontificia Universidad Católica de Chile (PUC). Her PhD research focused on the characterisation of chemical processes using Density Functional Theory (DFT) and conceptual DFT. During her Pre-doctoral Fulbright Scholarship at Duke University, she expanded her expertise to QM/MM methods and biomolecular modelling.
She continued this path at Uppsala University, investigating chemical promiscuity in enzyme evolution. In 2015, Fernanda was awarded a Royal Society Newton Fellowship and joined the University of Oxford. Following a period as a lecturer at the University of Edinburgh, she returned to Oxford in 2018 as an Associate Professor and was promoted to Professor in 2026.
She leads a research team developing computational tools to explore (bio)chemical reactivity, optimise chemical synthesis, and guide molecular design across sizes and timescales, bridging theoretical chemistry with practical applications.

Francesca Ferlaino is born on 23th December 1977 in Napoli, Italy. There, she studied physics at the University of Federico II and received her master degree in 2000 for a theoretical work on Bose-Einstein condensates, jointly conducted in Naples and at the International School for Advanced Studies (SISSA) in Trieste.
As PhD student, she then re-directed her research interest towards experimental physics and started her PhD  study at the University of Florence and at the European Laboratory for Non-linear Spectroscopy (LENS) in Florence under the supervision of Prof. M. Inguscio. At LENS, Francesca was involved in the first realization of quantum gases mixture of different alkali atomic species. After  receiving her PhD degree in 2004, Francesca enjoyed to work at LENS for few years more as research associate.
In 2007, she moved to Austria first as a visiting scientist in the group of Prof. Grimm, then as postdoctoral Lise-Meitner fellow focusing on few-body and Efimov physics, and finally she received a full professorship in 2014. At the beginning, her stay in Innsbruck was just planned for 3 months. The 3 months became 6. The 6 months 1 year. 1 year easily doubled to 2 years, and the 2 years doubled again, and again :). In 2009, thanks to a START-Prize (FWF) and an ERC Starting Grant, Francesca could establish her independent research group. She funded the Dipolar Quantum Gas Group and started the so-called “ERBIUM” experiment, realizing the world-first  Bose-Einstein condensate of Er in 2012.
Since 2014, Francesca is Full Professor at the University of Innsbruck and Scientific Director at the Institute for Quantum Optics and Quantum Information (IQOQI) of the Austrian Academy of Science (ÖAW). During the last years, she was awardee of numerous prestigious prizes and distinctions, including the Feltrinelli prize, the Alexander-von-Humboldt Professorship, the Science Prize of the City of Innsbruck, the Ignaz L. Lieben Prize, and the Fritz-Kohlrausch Prize for experimental physics. In addition, she received the START Prize, one ERC-Starting, one ERC-Consolidator grant and one one ERC-Advanced grant.

Dr. Jay M. Gambetta is the Vice President in charge of IBM’s overall Quantum initiative. He was named as an IBM Fellow in 2018 for his leadership in advancing superconducting quantum computing and establishing IBM’s quantum strategy to bring quantum computing to the world, and to make the world quantum safe. Under his leadership, IBM was first to demonstrate a cloud-based quantum computing platform; a platform that has grown to become the predominant quantum service utilized by 579,000 users to run over 3 trillion quantum circuits. These users include 302 members of the IBM Quantum Network, representing forward-thinking academic, industry, and governmental organizations focused on building a quantum-native ecosystem. IBM Quantum continues to expand in the market by providing Quantum as a Service utilizing the IBM Quantum System One and Two series of devices with over 20 quantum systems available online, building the foundations of the quantum industry. In addition, he was responsible for the creation and early development of Qiskit; the leading open-source quantum computing software development kit, allowing users to build, optimize, and execute quantum circuits on hardware from a multitude of quantum service providers. Dr. Gambetta received his Ph.D. in Physics from Griffith University in Australia. He is a Fellow of the American Physical Society, IEEE Fellow, and has over 130 publications in the field of quantum information science with over 37,000 citations.

Paola Gori-Giorgi is a Senior Principal Research Manager at Microsoft Research AI for Science and leads the Skala project, which aims to transform density functional theory through data-driven, continuously improving exchange-correlation functionals. A recognized expert in electronic structure theory, she has made influential contributions to density functional theory, particularly in the areas of optimal transport, range separation, and dispersion interactions. Her work spans fundamental theory, method development, and large-scale scientific computing, with a current focus on bringing machine-learning advances into practical tools for chemistry and materials research.

Originally from Ukraine, Ganna (Anya) Gryn’ova received her BS and MSc in chemistry summa cum laude from Oles Honchar Dnipro National University. In 2014 she received a PhD in computational chemistry from Australian National University. Her doctoral thesis received the IUPAC-Solvay International Award for Young Chemists for one of the five most outstanding PhD theses in the general area of the chemical sciences worldwide. Anya continued her career as a postdoctoral researcher at École Polytechnique Fédérale de Lausanne, where in 2016 she won the Marie Skłodowska-Curie Actions individual fellowship.
In 2019, Dr. Gryn’ova started her independent scientific career leading the junior research group “Computational Carbon Chemistry” (CCC) at the Heidelberg Institute for Theoretical Studies (HITS gGmbH) and Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University, Germany. In 2021, Anya received the prestigious ERC Starting Grant for her project “PATTERNCHEM: Shape and Topology as Descriptors of Chemical and Physical Properties in Functional Organic Materials”; she also joined the Collaborative Research Centre SFB1249 “N-Heteropolycycles as Functional Materials” and the SIMPLAIX strategic research initiative on bridging scales from molecules to molecular materials by multiscale simulation and machine learning as a principal investigator.
In April 2024, Dr. Gryn’ova moved to UK and became an Associate Professor of Computational Chemistry at the University of Birmingham.

Asst. Prof. Kedar Hippalgaonkar is 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 is also leading the Pharos Program on Hybrid (inorganic-organic) thermoelectrics for ambient applications from 2016-2020.
He has published over 50 research papers, and was nominated as a Journal of Materials Chemistry Emerging Investigator in 2019. He was recognized as a Science and Technology for Society Young Leader in Kyoto in 2015. For his outstanding graduate research, he was awarded the Materials Research Society Silver Medal in 2014. He graduated with a Bachelor of Science (Distinction) from the Department of Mechanical Engineering at Purdue University in 2003 and obtained his Doctor of Philosophy from the Department of Mechanical Engineering at UC Berkeley in 2014. While pursuing his doctoral studies, he conducted research on fundamentals of heat, charge and light in solid state materials.

I am the Carl and Amy Jones Professor of Chemistry at Carnegie Mellon University. My research focuses on solving fundamental chemical problems through machine learning, molecular modeling, and quantum mechanics.
Since 2016, my work has pioneered research at the interface between ML and quantum chemistry, resulting in several families of atomistic machine learning potentials now used by leading laboratories and companies worldwide.

Eun-Ah Kim is a professor of physics at Cornell University. She is one of the leading experts in the theory of emergent phenomena in quantum materials and a pioneer in applying machine learning to quantum matter data. She thinks of her research as a study of societies—societies of electrons. Quantum mechanics allows for endless possibilities of rich and complex “social phenomena” that manifest through material properties. But because quantum mechanics forbids the tracking of individual electrons, the electron societies are mystical. Recent decades have seen experimental and theoretical data revolutions that can help us understand the mystical “societies” of quantum matter.
Kim obtained her PhD at the University of Illinois at Urbana-Champaign in 2005 and was a postdoctoral fellow at the Stanford Institute for Theoretical Physics. She has been at Cornell since 2008. She received a Faculty Early Career Development (CAREER) Program award from the National Science Foundation in 2010 and another award from the Department of Energy Early Career Research Program in 2013. Kim was named a fellow of the American Physical Society in 2020.

Heather J. Kulik is a Professor of Chemical Engineering and Chemistry at MIT. She received her B.E. in Chemical Engineering from Cooper Union in 2004 and her Ph.D. in Materials Science and Engineering from MIT in 2009. She completed postdocs at Lawrence Livermore (2010) and Stanford (2010−2013), prior to returning to MIT as a faculty member in 2013 and receiving tenure in 2021. She was promoted to the rank of Full Professor in 2024.
Her work has been recognized by a Burroughs Wellcome Fund Career Award at the Scientific Interface (2012-2017), Office of Naval Research Young Investigator Award (2018), DARPA Young Faculty Award (2018), AAAS Marion Milligan Mason Award (2019-2020), NSF CAREER Award (2019), the ACS COMP Division OpenEye Award for Outstanding Junior Faculty in Computational Chemistry, the JPCB Lectureship (ACS PHYS), the DARPA Director’s Fellowship (2020), a Sloan Fellowship (2021), the AIChE CoMSEF Impact award (2023), a TUM Hans Fischer Senior Fellowship (2023), and a Presidential Early Career Award for Scientists and Engineers (2025).

Jose Lado is an Assistant Professor at Aalto University, in Finland, working on the theory of quantum materials. His research focuses on designing emergent phenomena in quantum materials, combining materials science, quantum many-body physics, and machine learning. In particular, he focuses on engineering systems where electronic correlations and topology yield exotic physics such as topological excitations and emerging fractionalized particles, ultimately to design universal topological quantum computers. He often works in collaboration with experimental groups studying quantum materials in general, and two-dimensional materials in particular. He was awarded the Early Career Award by the European Physical Society in 2023, the ERC Consolidator Grant in 2025, and since 2026 he is the vice-director of the Finnish Center of Excellence in Quantum Materials

Professor Marzari’s research is dedicated to the development and application of novel electronic-structure theories, algorithms, and software to understand, predict, and ultimately design the properties of complex materials and complex states of matter.

This field is now achieving its long sought holy grail: predictive accuracy, where first-principles, quantum mechanical simulations can accurately describe the behaviour of interacting electrons and ions; the ability to capture the complexity of the real world by bridging length and time scales and abstracting microscopic dynamics of particles and excitations into mesoscopic models; and the growing power of machine learning and artificial intelligence, which are rapidly reshaping our approaches to scientific discovery and understanding.

Prof Marzari holds the prestigious Cavendish Professor of Physics chair. Established in 1871, this historic chair has played a central role in the leadership and direction of the Laboratory for over 150 years. The Cavendish Professorship has been held by some of the most influential figures in the history of physics who, between them, changed completely our understanding of the physical world. Previous Cavendish Professors included James Clerk Maxwell, J J Thomson, Ernest Rutherford, and Nevill Mott.

Prof Shyue Ping Ong is a Provost's Chair Professor in Materials Science and Engineering at the National University of Singapore. He is widely recognized as one of the pioneers of foundation potentials, i.e., machine learning models with comprehensive coverage of the periodic table, with broad applications in materials discovery and design. Prof Ong is also the founder and lead developer of pymatgen, one of the most popular open-source libraries for materials analysis, and a core contributor to the Materials Project, a public platform that provides computed properties of all known materials. He has authored more than 170 peer-reviewed articles and has been recognized as a Clarivate Highly Cited Researcher since 2021. He was also a recipient of the prestigious US Department of Energy Early Career Research Program, the US Office of Naval Research Young Investigator Program and the Returning Singaporean Scientist Scheme awards.

I am the Scientific Director (CSO) and Cofounder of Multiverse Computing, as well as Ikerbasque research professor at the Donostia International Physics Center (DIPC) in San Sebastián, Spain. After obtaining my degree and PhD in Physics at the University of Barcelona in 2006, I worked as a research fellow at the University of Queensland, Australia, and the Max Planck Institute of Quantum Optics, Germany, as well as a junior professor at Johannes Gutenberg-Universität in Mainz, Germany. I was also visiting professor at the Universitè Paul Sabatier – CNRS, France, and at the DIPC. My research has been recognized by several awards, including a Marie Curie Incoming International Fellowship, and the Early Career Prize (2014) by the European Physical Society. I have written more than 80 scientific articles about quantum research cited around 5500 times, and I am also honorary member of the steering board of the journal Quantum, member of the ‘Quantum for Quants’ (Q4Q) commission of the Quantum World Association, partner at Entanglement Partners, and president of the Specialized Group on Quantum Information at the Spanish Royal Society of Physics.

Päivi Törmä is a professor in the Department of Applied Physics, Aalto University and has a Master of Advanced Study degree from the University of Cambridge, U.K., and PhD in 1996 from the University of Helsinki. She was a postdoc at University of Ulm, Germany, and University of Innsbruck, Austria, and a professor at University of Jyväskylä, Finland, before being appointed at Aalto University in 2008. Her research ranges from theoretical quantum many-body physics to experiments in nanophotonics. Her work has revealed a new connection between quantum geometry and superconductivity that explains why flat bands can carry supercurrent, essential in the search for superconductors that work at high temperatures. In her experiments, Päivi has worked on strong coupling of surface plasmon polariton modes and molecules, and her group succeeded in realizing the first plasmonic Bose-Einstein condensate.

I obtain my Physics degree from the Universitat Autòmoma de Barcelona 1986. From 1988 to 1992 I was a doctoral fellow (FPI) of the Ministry of Education and Science at the Autonomous University of Barcelona and defended my PhD in 1992. In 1993, I moved to Oxford University, fas a research fellow and 1994-1995 as a Fleming Fellow. In 1996, I was European postdoctoral research fellow in CEA-Saclay. In 1998, I was research fellow at Leibninz University, Hannover (Germany), where I habitlitated in 2002 and became assistant professor. Since 2005 I am an ICREA research professor. My research interests involve quantum information theory, in particular entanglement theory, but also to quantum gases, condensed matter, out-of-equilibrium open quantum systems and quantum neural networks. I am also interested and involved in education and the popularization of science to society. Otherwise, I am fond of literature, sports and children.

Dr. Javad Shabani is Professor of Physics and Electrical and Computer Engineering, and Director of the Quantum Institute at New York University. He received his PhD from Princeton University. After two years of research on semiconductor-based qubits at Harvard University, he joined UC Santa Barbara. There, he worked closely with Microsoft research on hybrid semiconductors/superconductors heterostructures to study topological superconductivity. His group recently pioneered hyperdoped superconducting germanium as a CMOS-compatible platform for quantum devices.

Leopold Talirz studied physics at ETH Zurich and spent a decade in academia as a computational materials scientist, using atomistic simulations to study materials and developing software to make materials science more open, reproducible, and accessible, notably AiiDA and the Materials Cloud. In 2021 he joined Microsoft’s Azure Quantum team to build Azure Quantum Elements, a cloud platform that accelerates atomistic simulations through high-performance computing, machine learning, and, eventually, quantum computing. Since March 2024 he has been with the specialty glass manufacturer SCHOTT AG, where he is an expert for materials informatics and heads the computational materials engineering group.

Alexandre Tkatchenko is a Professor of Theoretical Condensed Matter Physics at the University of Luxembourg. He is also Head of the Department of Physics and Materials Science and Head of the Theoretical Chemical Physics group.

Ali Yazdani is the James S. McDonnell Distinguished University Professor of Physics at Princeton University and Co-Director of the Princeton Quantum Initiative. He is known for his research in advancing our understanding of emergent quantum phenomena by application and development of high-resolution microscopy techniques to directly visualize highly entangled quantum states of matter.
Yazdani graduated from UC Berkeley with a degree in physics and from Stanford University in 1995 with a Ph.D. in applied physics. After working as a postdoctoral scientist at IBM, he started his own independent research group at the University of Illinois in Urbana-Champaign before joining Princeton University's Department of Physics in 2005. He has held visiting professorships at Stanford and at Cambridge University (Trinity College) in the UK and has been a Loeb Lecturer at Harvard.

The research area of Prof. Zavadlav (b. 1987) lies in the development of efficient and predictive computational methods and models for application areas ranging from life sciences to engineering. To this end, she is integrating traditional physics-based approaches with emerging machine learning techniques and Bayesian modeling and developing novel concurrent multi-resolution simulation techniques.
Prof. Zavadlav studied physics at the University of Ljubljana where she received her Ph.D. in 2015 while working at the National Institute of Chemistry in Slovenia. In 2016, she joined the Computational Science and Engineering Laboratory at ETH Zurich and was awarded the ETH Postdoctoral Fellowship. In 2019, she was appointed as Assistant Professor for Multiscale Modeling of Fluid Materials at TUM. She was awarded with the ERC Starting Grant in 2022.

Claudio Zeni is a Senior Researcher at Microsoft Research Cambridge – AI for Science, working on machine learning for the simulation and discovery of materials, with a particular focus on generative models and data-driven approaches for materials design.
He holds a PhD in Computational Physics from King’s College London, where his research focused on machine learning methods for modelling materials at the atomistic scale. Prior to joining Microsoft Research, Claudio held a postdoctoral position where he worked on computational physics, data science, and machine learning.