Category: Current member

Affiliation: University of Birmingham

Keywords: Decision-making, learning, computational modelling, neuroimaging, social behaviour, psychiatric disorders, neurological disorders, development, ageing.

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Full profile: Dr Patricia Lockwood is a Professor of Decision Neuroscience, Sir Henry Dale Fellow, and Jacobs Foundation Research Fellow at the University of Birmingham, UK. She was previously a Junior Research Fellow at Christ Church and Somerville College, University of Oxford, and a Medical Research Council Fellow at the University of Birmingham, University of Oxford, and University of Zurich.

She holds a PhD in Psychology from University College London and a BSc in Psychology and Philosophy from the University of Bristol. Her lab investigates social learning and decision-making across the lifespan and in neurological and psychiatric disorders using a mixture of computational modelling, behavioural measures, self report, patient studies and neuroimaging.

She is passionate about using theories, findings and tools from psychology and neuroscience to develop new experimental paradigms that test how, when and why we help or fail to help other people. Her work has received multiple awards (S4SN Early Career Award, APS Award for Transformative Early Career Contributions), she is a Fellow of the Association for Psychological Science and a member of the Women of the Future Network. You can read more about the lab here: www.sdn-lab.org. You can read her blog “The Helpful Brain” at Psychology Today here: tinyurl.com/Helpful-Brain.

Affiliation:  University of Padova, IT

Keywords: Mathematical finance, stochastic analysis, financial markets, probability.

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Full profile: Claudio Fontana is full professor of probability at the Department of Matheamtics of the University of Padova (Italy). He holds a Master of Advanced Studies in Finance (ETH and University of Zurich, 2010) and a PhD in Mathematics (University of Padova, 2012). His research interests are in the theory of stochastic processes and their applications in finance, in particular interest rate and credit risk modeling, enlargement of filtrations and the modeling of information, arbitrage theory. He has worked as a post-doctoral researcher at the University of Évry (France) and at INRIA Paris-Rocquencourt, as assistant professor at Paris VII University (2014-2018) and as scientific collaborator at École Polytechnique (2022-2023). He was awarded the Bruno de Finetti prize by the Accademia Nazionale dei Lincei (Rome, 2008), the AMASES award for the best paper (2010), the Nicola Bruti Liberati fellowship (UTS Sydney, 2016) and the Europlace prize for the best paper in finance (Paris, 2017). His research has been supported by CNRS, the Europlace Institute of Finance, a STARS grant from the University of Padova and a Marie Curie intra-European fellowship. In 2021 he has been elected Academic Fellow of the Louis Bachelier Institute. Together with E. Barucci, he is the author of the monograph “Financial Markets Theory: Equilibrium, Efficiency and Information” (Springer Finance, 2nd ed., 2017).

Affiliation:  University of Graz

Keywords: 

Greek literature, collaborative authorship, anonymity, satire, rhetoric of consolation, cognitive theory, history of Classics

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Markus studied Classics, Philosophy and Education at LMU Munich, Germany, and the University of Athens, Greece. He received his doctorate in Munich in 2016 with a thesis on Lucian the satirist. After teaching and research activities at the University of Heidelberg and the Humboldt University of Berlin, he became Alexander von Humboldt Fellow at the University of North Carolina at Chapel Hill, USA, in 2018/2019. Since then, Markus has been Lecturer, Assistant Professor and, since 2023, Associate Professor of Classics specializing in Greek literature at the University of
Graz, Austria.

In the years 2024-2028, Markus is PI in a research group as part of an ERC project that deals with questions of anonymous authorship in ancient literature. His research interests include the bilingual Graeco-Roman educational culture and rhetoric of the first centuries CE, e.g. satire and consolation literature, the history of Classics, especially in the 20th century, and concepts of authorship in ancient literature, including forms of anonymity, author fictions, and gender aspects. He is also interested in forms of collective creativity and cognition.

Affiliation:  Max Planck Institute for the Physics of Complex Systems

Keywords: Out-of-equilibrium dynamics, quantum many-body dynamics, quantum simulation, quantum control, machine learning for quantum technologies, optimization landscapes

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Following his undergraduate studies at the Ludwig Maximilians University of Munich, Marin obtained a PhD in physics from Boston University in 2017. He then joined UC Berkeley’s Condensed Matter Theory Center as a Gordon and Betty Moore postdoctoral fellow. After a short stay at Sofia University as a Marie Sklodowska-Curie fellow, he is now a research group leader at the Max Planck Institute for the Physics of Complex Systems in Dresden, Germany.

His group works on various aspects of out-of-equilibrium dynamics, including quantum engineering, thermalization and equilibration, and control of interacting few and many-body systems. Together with his students and postdocs, he develops analytical theories and numerical approaches to understand the bizarre behavior of collective phenomena away from equilibrium. He has made significant contributions to the field of periodically driven systems and optimal control, and has pioneering applications of reinforcement learning in quantum physics. Marin is also a co-developer of the open-source Python package for quantum many-body systems — QuSpin (https://quspin.github.io/QuSpin/) — a widely used tool to investigate the dynamics of quantum many-body systems.

Marin is a recipient of several prestigious awards, including the DAAD Prize ‘for the outstanding achievements of a foreign student at German universities’, the Gertrude and Maurice Goldhaber Prize, the Alvaro Roccaro Memorial Prize ‘in recognition of outstanding achievement overall in physics by a graduate student’, and the John V. Atanasoff President Award ‘for outstanding contributions to the field of artificial intelligence applied to quantum technologies’. He is a holder of a VIHREN grant (2020) and an ERC Starting Grant (2023). He serves as an editorial board member of the journal Communications Physics (Nature) and as a reviewer for prestigious journals and scientific panels across the world.

Affiliation:  Universidade da Coruña

Keywords: Graphene; Polycyclic aromatic hydrocarbons; 2D Materials, Carbon Nanotubes; Functionalization; Organic synthesis; Tailored properties; Biomedical applications; Biosensing, Graphene FET.

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Dr Alejandro Criado received his Ph.D. in Organic Chemistry (2013) at the University of Santiago de Compostela (Spain). From 2013 to 2020, he conducted postdoctoral research at the University of Trieste and CICbiomaGUNE research center. In 2021, he started his independent research career as Distinguished Researcher at CICA – Interdisciplinary Center of Chemistry and Biology at Universidade da Coruña, co-leading NanoSelf group. Currently, he is a Ramon y Cajal Assistant Professor at Chemistry Department at Universidade da Coruña. His research interests focus on the new methods for modifying low-dimensional materials to tailor their properties, along with the development of graphene-based sensors.
In summary, his research has had a major impact on the field, contributing with new synthetic procedures to prepare particular aromatic structures, novel methodologies to modify CNMs and related nanomaterials, and outstanding devices to detect several biomarkers.

Affiliation:  Humboldt-Universität zu Berlin

Keywords: 

Databases, Process Mining, Information Systems, Event Stream Processing,
Data Science

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Since 2018, Matthias has been a full professor and Chair of Databases
and Information Systems at the Department of Computer Science at
Humboldt-Universität zu Berlin (HU). He joined the department in April
2015 as a junior professor, supported by German Research Foundation
(DFG) through the Emmy-Noether Programme. Earlier, he worked as a
research associate at the Department of Computing at Imperial College
London and as a research fellow and adjunct lecturer at the Technion –
Israel Institute of Technology. He holds a PhD in Computer Science from
the Hasso Plattner Institute (HPI), University of Potsdam.

Matthias’ research interests include data-driven approaches to the
analysis of process-oriented systems, aka process mining. These
techniques help to improve operations and resource utilization in
domains such as health care and logistics. Another stream of work
relates to algorithms for efficient processing of streaming data, for
instance, for the detection of patterns in data streams emitted by
distributed Internet-of-Things infrastructures. A third pillar of his
work are models and methods for exploratory data analysis. That includes
interdisciplinary collaborations with scientists in astrophysics and
bioinformatics on scientific workflow systems to facilitate
reproducible, portable, and trustworthy analysis of large-scale
scientific data.

His work has been recognized by several awards, including Best Paper
Awards at the ICPM 2023, ACM DEBS 2022, and BPM 2017 conferences. In
2016, he received the Berlin Young Scientist Award, awarded by the
Governing Mayor of Berlin to a single scientist across all scientific
disciplines. He has also been a Junior-Fellow of the German Informatics
Society (GI).

Matthias is further active in the scientific community as part of
various service roles. He is a member of the Steering Committees of the
BPM conference series and the ACM DEBS conference series,
Co-Editor-in-Chief of the Information Systems journal, and Associate
Editor of The VLDB Journal and Process Science. Moreover, for several
years, he has been one of the organizers of the mentoring programme
offered by the German Informatics Society that brings together students
and experienced mentors.

Affiliation:  European Molecular Biology Laboratory

Keywords: Evolutionary cell biology, mitosis, nuclear organisation, eukaryotic microbiology, comparative genomics, experimental evolution

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Gautam is a Group Leader at the European Molecular Biology Laboratory (EMBL), based in the Cell Biology and Biophysics Unit of its Heidelberg headquarters. His research group investigates the evolution and diversity of mitosis and nuclear remodelling across eukaryotes using a combination of comparative cell biology, experimental evolution and genomics.

Gautam started his group at EMBL in early 2021, after a postdoc in London working on the evolution of cell division with Buzz Baum. Gautam holds a PhD in systems biology from Stanford University and a research MSc from the National Centre for Biological Sciences in Bangalore, India. Gautam is an ERC Investigator (2023-2028) and a previous holder of a Marie-Sklodowska Curie postdoctoral fellowship (2017-2018) and a Stanford Graduate Fellowship in Science and Engineering (2009-2012).