Current and Upcoming Visitors
All current and upcoming visitors are listed below, while past visitors can be found here.
The visitors' profiles can be found further down. Profiles of Thematic Programs can be found on their respective websites linked below.
Name (Home Institution) |
Arrival | Departure | Field | Units of Interest | |
Roslyn Ellen Taplin (SOAS University of London) |
2025-03-30 | 2025-06-28 | Environmental Management, Interdisciplinary education for SDGs | Twamley | VS |
Chuliang Song (UCLA) |
2025-03-23 | 2025-04-23 | Biology, Ecology, Mathematics, Quantitative Ecology, Species Coexistence, Rapid Evolution | Armitage, Dieckmann, Economo, Pigolotti | VS |
Jonathan Brundan (University of Oregon) |
2025-03-01 | 2025-05-30 | Mathematics, Representation Theory | Speyer | VS |
THEMATIC PROGRAM Computational and Physical Understanding of Biological Information Processing |
2025-02-24 | 2025-03-16 | Evolutionary Biology |
Abdulla, Armitage, Bandi, De Schutter, Dieckmann, Doya, Economo, Fried, Froese, Fukai, Fukunaga, Goda, Ishikawa, K. Tanaka, Kiyomitsu, Kondrashov, Liu, Masai, Myers, Pigolotti, Reiter, Saze, Stephens, T. Takahashi, Terenzio, Uusisaari, Watanabe, Wickens, Yamamoto, Yazaki-Sugiyama, Zhou |
TP |
Kohei Suzuki (Durham University) |
2025-01-04 | 2025-03-29 | Mathematics, differential geometry, partial differential equation, probability and stochastic analysis | Liu, Zhou | VS |
Claire Wyart (Sorbonne University) |
2025-01-04 | 2025-03-28 | Biology, Neuroscience, Sensorimotor integration, motor control, navigation | Laudet, Masai, Stephens | EVS |
Feng Liu (University of Utah) |
2024-12-20 | 2025-01-20 | Marine Science, Physics, condensed-matter physics, quantum materials | Dani, Narita, Okada, Qi, Shannon | VS |
Johnatan Aljadeff (UCSD) |
2024-12-12 | 2025-02-01 | Neuroscience, Physics, Dynamical systems and statistical physics modeling of neural networks | Doya, Fukai, Pao, Reiter, De Schutter | VS |
Yanfa Yan (University of Toledo) |
2024-12-02 | 2025-02-28 | Material Science, Energy Materials | Narita, Qi | VS |
Anna Pachol (University of South-Eastern Norway) |
2024-12-01 | 2025-02-28 | Mathematics, Physics, Quantum, mathematical/theoretical physics, Quantum Gravity | Höhn, Neiman, Toriumi | VS |
Ahmed Elhady (Konstanz University) |
2024-11-22 | 2024-11-30 | Biology, Ecology, Neuroscience, Physics, Behavioral modeling, stochastic biology | Pigolotti, Reiter | A |
Avadh Saxena (Los Alamos National Laboratory) |
2024-11-17 | 2024-01-31 | Condensed matter physics, material physics, quantum physics, nonlinear science | Bandi, Chakraborty, Dani | A |
Susumu Ariki (Osaka University) |
2024-11-04 | 2025-03-29 | Mathematics, Representation Theory | Speyer, Toriumi | DV |
Ana Belen Sainz (Gdańsk University) |
2024-11-01 | 2025-04-30 | Physics, Quantum Foundations, Quantum Information Theory | Nic Chormaic, Ekert, Elkouss, Höhn, Nemoto, Speyer, H. Takahashi | VS |
John Selby (Gdańsk University) |
2024-11-01 | 2025-04-30 | Quantum, Quantum foundations and information | Nic Chormaic, Elkouss, Höhn, Speyer, H. Takahashi | VS |
James Berg (Allen Institute for Neural Dynamics) |
2024-10-28 | 2025-02-15 | Neuroscience | Doya, Fukunaga, Kuhn, T. Takahashi, Yamada, Yoshida | VS |
Anthony Genot (University of Tokyo) |
2024-10-20 | 2024-11-10 | Chemistry, Engineering and Applied Sciences, DNA nanotechnology | N. Luscombe, Shen | DV |
Il Memming Park (Champalimaud Foundation) |
2024-10-15 | 2025-02-28 | Engineering and Applied Sciences, Neuroscience, Recurrent neural network, machine learning, neuro AI | Doya, Fukai, Hikami, Pao, Pigolotti, Uusisaari | VS |
Mihnea Bostina (Otago University) |
2024-10-01 | 2025-09-30 | Biology, Structural Biology, Virology | Bandi, Chakraborty, Husnik, Kusumi, Wickens, Yamamoto, Wolf, Sitsel | VS |
Shyam Srinivasan (University of California) |
2024-10-01 | 2025-07-28 | Biology, Computer Science, Neuroscience, Evolution, Quantitative Anatomy, Sensory Neuroscience | Goda, Pao | VS |
Keiko Aoki (Tokyo) |
2024-09-12 | 2024-12-12 | Material Science, Mathematics, Physics, Molecular dynamics simulation | Bandi, Chakraborty, Hikami, Husnik, Liu | DV |
Michael Hausser (University College London) |
2024-09-01 | 2024-11-01 | Biology, Marine Science, Neuroscience, Computational neuroscience, Neural Computation | Dieckmann, Doya, Economo, Ekert, Fukai, Fukunaga, Goda, Kuhn, N. Luscombe, Miller, Reiter, Rokhsar, De Schutter, T. Takahashi, Uusisaari, Watanabe, Wickens, Yoshida | EVS |
Kenneth Goodenough (University of Massachusetts Amherst) |
2024-08-26 | 2024-9-25 | Quantum Networking, Entanglement | Elkouss, Munro, Nemoto | A |
Miguel Araújo (Spanish National Research Council) |
2024-08-21 | 2025-01-20 | Ecology, Conservation planning, Ecological networks, Predictive biogeography, Species distribution modelling | Armitage, Dieckmann, Economo, Mitarai, Neiman, Pao, Pigolotti, Ravasi, Yamada | VS |
Cintia Pacchiano (Calgary University) |
2024-08-19 | 2024-12-13 | Mathematics, Mathematical Analysis, Theoretical Aspects of Nonlinear Partial Differential Equations | Liu, Zhou | VS |
Havva Yoldas (Delft University of Technology) |
2024-08-07 | 2024-11-30 | Mathematics, Analysis of Partial Differential Equations, Kinetic Theory, Mathematical Biology | Abdulla, Kiyomitsu, Liu, Meitinger, Zhou | VS |
Raphael Winter (Cardiff University) |
2024-08-07 | 2024-10-30 | Mathematics, Mathematical Physics, Kinetic theory | Abdulla, Liu, Zhou | VS |
Koji Fujiwara (Kyoto University) |
2024-08-13 | 2024-09-30 | Mathematics, Geometry, Topology, Geometric group theory | Feichtner-Kozlov, Hikami, Zhou | DV |
THEMATIC PROGRAM Neuromodulation of Adaptive Learning |
2024-07-04 | 2024-08-11 | Neuroscience | De Schutter, Doya, Fukai, Fukunaga, Goda, Kuhn, Reiter, Tani, Wickens, Uusisaari, Yazaki-Sugiyama | TP |
Erich Bornberg-Bauer (Münster University and Max Planck Institute in Tübingen) |
2024-06-26 | 2024-08-16 | Chemistry, Theoretical Biochemistry, Evolution, Origins of Life, Structural Biology, Genomics | Bourguignon, Kondrashov, Laudet, Laurino, N. Luscombe, Pääbo, Rokhsar | VS |
Joshua Goldberg (The Hebrew University of Jerusalem) |
2024-06-23 | 2024-09-03 | Neuroscience, Cellular and systems neurophysiology, neurodegenerative diseases; Computational Neuroscience | Abdulla, Doya, Fukai, Pigolotti, Wickens | VS |
Desiree Förster (University of Chicago) | 2024-06-16 | 2024-08-09 | Media Theory, Philosophy of Science, and Sensory Studies | Froese | A |
Pedro Lopes (University of Chicago) |
2024-06-16 | 2024-08-09 | Computer Science, Neuroscience, Human-Computer Interaction | Froese, Qi, Shen, Tani | VS |
Lucy Lai (Harvard University) |
2024-06-03 | 2025-06-02 | Neuroscience, Computational Cognitive Neuroscience | Doya, Tripp | VS |
Manfred Schartl (Universität of Würzburg) |
2024-06-04 | 2024-06-09 | Biology, cancer genetics, vertebrate genetics and sex evolution |
Laudet, N. Luscombe, Ravasi, Kiyomitsu, Masai, Sallan, Economo, Bourguignon, Kono
|
C |
Sergii Strelchuk (University of Cambridge) |
2024-05-31 | 2024-08-30 | Mathematics, Quantum, Quantum computing, quantum simulation, quantum algorithms and information theory | Busch, Ekert, Elkouss, Myers, Nemoto, Shannon | VS |
Rieko Osu (Waseda University) |
2024-05-27 | 2024-06-10 | Neuroscience, Cognitive neuroscience, Computational neurorehabilitation, Motor control and learning, Neurodiversity | Doya, Froese, Fukai, Tani, Tripp, Uusisaari | DV |
Riku Nakazato (Waseda University) |
2024-05-27 | 2024-06-10 | Neuroscience, Cognitive neuroscience, Computational neurorehabilitation, Motor control and learning, Neurodiversity | Doya, Froese, Fukai, Tani, Tripp, Uusisaari | A |
Han Zhao (University of Illinois Urbana-Champaign) |
2024-05-26 | 2024-08-25 | Computer Science, Machine Learning | Yamada | VS |
Nick Luscombe (MSCTY) |
2024-05-20 | 2024-06-30 | Soundscapes | Fukunaga | A |
Hirokazu Shirado (Carnegie Mellon University) |
2024-05-20 | 2024-08-19 | Computer Science, Sociology, Computational Social Science, Human-Computer Interaction, Social Networks | Dieckmann, Froese, Reiter, Tani, Yamada | VS |
Florian Yger (Paris-Dauphine University) |
2024-05-20 | 2024-08-15 | Computer Science, Machine Learning | Pao, Yamada | A |
Louise Hespel (Rouen University) |
2024-05-20 | 2024-08-15 | Chemistry, Material Science, polymer | C. Luscombe, Yamada | VS |
Christophe Claramunt (Arts et Métiers Institute of Technology) |
2024-05-18 | 2024-05-23 | Computer Science, Geographical Information Science | Yamada, Armitage | A |
Srikanth Ramaswamy (Newcastle University) |
2024-04-30 | 2024-08-29 | Computational Neuroscience, Neural Networks Modeling, Big Data, Deep Learning, Artificial Neural Networks | De Schutter, Doya, Fukai, Fukunaga, Goda, Kuhn, Reiter, Tani, Wickens, Uusisaari, Yazaki-Sugiyama | VS |
Anthony Genot (University of Tokyo) |
2024-04-29 | 2024-05-12 | Chemistry, Engineering and Applied Sciences, DNA nanotechnology | N. Luscombe, Shen | DV |
Sona Roy (University of Tokyo) |
2024-04-28 | 2024-05-12 | Chemistry, Engineering and Applied Sciences, DNA nanotechnology | N. Luscombe, Shen | A |
Canberk Sanli (University of Cambridge) |
2024-04-17 | 2024-06-30 | Theoretical High Energy Physics | Hikami, Neiman, Toriumi | A |
Yuzhe Li (Nara Institute of Science and Technology) |
2024-04-16 | 2024-08-23 | Computer Science, Neuroscience, Computational Neuroscience | Doya, Kuhn | DV |
Aaron Chan (Nagoya University) |
2024-04-14 | 2024-11-30 | Mathematics, Representation theory of finite-dimensional algebra and related categorical structures | Speyer, Toriumi | DV |
Luiza Angheluta (University of Oslo) |
2024-04-06 | 2024-04-25 | Theoretical Physics | Pigolotti, Chakraborty, Konstatinov, Gioia, Rosti, Shen, Fried, Touber | A |
Keiko Aoki (Tokyo) |
2024-04-05 | 2024-06-28 | Material Science, Mathematics, Physics, Molecular dynamics simulation | Bandi, Chakraborty, Hikami, Husnik, Liu | DV |
Shinichi Aizawa (Hiroshima University) |
2024-04-03 | 2024-04-19 | Biology, Physics, Bacterial flagella | Kusumi, Wolf | DV |
Paul Luis Roehl (University of Cambridge) |
2024-03-12 | 2024-07-31 | Theoretical High Energy Physics | Hikami, Neiman, Toriumi | A |
Nicholas Dorey (University of Cambridge) |
2024-02-29 | 2024-07-14 | Theoretical High Energy Physics | Hikami, Neiman, Toriumi | VS |
Izaak Neri (King's College London) |
2024-01-30 | 2024-04-25 | Mathematics, Physics | Dieckmann, Pigolotti | VS |
Anders Björn (Linköping University) |
2024-01-08 | 2024-08-15 | Mathematics | Abdulla, Liu, Zhou | VS |
Jana Björnová (Linköping University) |
2024-01-08 | 2024-08-15 | Mathematics | Abdulla, Liu, Zhou | VS |
Daniel Chourrout (University of Bergen) |
2023-08-04 | 2024-07-31 | Evolution, Marine Science | N. Luscombe, Laudet | EVS |
All visitors give presentations during their stay at OIST. You can find details about upcoming seminars and lectures on the Events page. You can also subscribe to this iCal calendar containing all talks.
Visitor Profiles
Here are the profiles of visitors currently on campus.
Erich Bornberg-Bauer
Office at OIST: Lab 5 EF03
Erich Bornberg-Bauer is currently a full professor of bioinformatics and molecular evolution at the University of Münster (Germany) and a guest scientist at the Max-Planck Institute in Tübingen. He has always been interested in how molecular structures arise during evolution and what the biophysical principles are which allow RNAs and proteins to adopt new structures to adapt to new fitness requirements. His group is currently working on many related aspects, both computationally and experimentally with a focus on trying to understand how "de novo" proteins, proteins which are newly encoded by previously non-coding pieces of DNA come into existence, why some prevail while most perish and how they assume different structure over time.
Joshua Goldberg
Office at OIST: Lab 5 EF03n
Dr. Joshua A. Goldberg is an associate professor of medical neurobiology at the Hebrew University of Jerusalem, Israel. His research focuses on the pathophysiology of movement disorders, most prominently Parkinson’s disease (PD). He combines advanced electrophysiology and imaging techniques both in vivo and in vitro with computational approaches to study how the physiology of neurons leads to their vulnerability in early statges of PD and how brain networks dynamics adapt to PD. He is a past recepient of a European Research Council (ERC) Consolidator grant and a Human Frontier Science Program (HFSP) grant with Dr. Jeff Wickens, OIST. Personal Website
TSVP Talk: "What They Didn’t Tell Us in Computational Neuroscience 101" by Joshua Goldberg | Thursday, July 11, 2024 - 15:00
Pedro Lopes
Office at OIST: Lab 5 EF03g
Pedro Lopes is an Associate Professor in Computer Science at the University of Chicago. Pedro focuses on integrating interfaces with the human body—exploring the interface paradigm that supersedes wearables. These include: muscle stimulation wearables that allow users to manipulate tools they have never seen before or that accelerate reaction time, or a device that leverages the smell to create an illusion of temperature. All these examples leverage computers to augment the user’s body, not just cognitively, but also physically (e.g., our wearable that accelerates one’s reaction time made it to the Guinness Book of World Records). Pedro’s work has received several academic awards, such as seven CHI/UIST Best Papers, the Sloan Fellowship and the NSF CAREER award, and captured the interest of the public (e.g., New York Times, exhibited at Ars Electronica, etc.; more: https://lab.plopes.org).
TSVP Talk: "Integrating Interactive Devices With the User's Body" by Pedro Lopes | Monday, June 24, 2024 - 11:00
Sergii Strelchuk
Office at OIST: Lab 5 EF03d
Sergii Strelchuk is an Associate Professor at the Department of Computer Science and co-Director of Warwick Quantum Centre at the University of Warwick. He is particularly interested in Classical Simulation for Quantum Computations, Quantum Algorithms, Quantum Complexity, Quantum Learning theory and topics in Quantum Information Theory.
Hirokazu Shirado
Office at OIST: Lab 5 EF03l
Hirokazu Shirado is an Assistant Professor of the Human-Computer Interaction Institute in the School of Computer Science at Carnegie Mellon University in Pittsburgh, USA. His research focuses on the role of social interactions and technology in the emergence of social order and in the collective confrontation of social dilemmas. He is particularly interested in studying hybrid systems of humans and machines, particularly how artificial intelligence can help people address the challenges of collective action. He has received the NSF CAREER Award and the ASA Outstanding Paper Award for his work.
TSVP Talk: "Social Dynamics of Human-AI Hybrids" by Hirokazu Shirado | Monday, June 24, 2024 - 14:30
Han Zhao
Office at OIST: Lab 5 EF03e
Han Zhao is an Assistant Professor of Computer Science at the University of Illinois Urbana-Champaign (UIUC). He is also an Amazon Visiting Academic at Amazon Stores Foundational AI. He earned his Ph.D. degree from Carnegie Mellon University. His research interest is centered around trustworthy machine learning, with a focus on algorithmic fairness, robust generalization under distribution shifts and multi-task learning. His long-term goal is to build trustworthy ML systems that are efficient, robust, fair, private, and interpretable. Personal website, Google scholar
Florian Yger
Office at OIST: Lab 5 EF03m
Florian Yger is an associate professor at Université Paris-Dauphine since 2015, teaching Data Analysis and Machine Learning in the department MIDO. Within the LAMSADE, he is part of the team MILES which focuses on trustworthy Machine Learning and Explainable AI. From 2014 to 2015, he was a JSPS postdoctoral fellow in the laboratory of Prof. Sugiyama at Tokyo University. He received his PhD in Computer science from LITIS, Université de Rouen under the supervision of Alain Rakotomamonjy in 2013. He contributes to the problem of representation learning with a particular interest in the representation of structured data (graphs, covariance matrices,…) and the development of learning algorithm for non-Euclidean spaces. This work has many applications ranging from signal processing (EEG signals and Brain Computer Interface) and to image processing (Paintings for art style recognition). More recently, within MILES teams, he addresses the questions of trust, explainability and interpretability in machine learning models with a focus counterfactual reasoning on data. He recently started studying the interplay between computational social choice and machine learning in the context of voter’s opinion aggregation. He is a visiting researcher at RIKEN AIP, Japan since 2017, is a member of the Prairie (PaRis Artificial Intelligence Research InstitutE) where he holds a junior chair, and an Affiliate of the Theoretical Sciences Visiting Program (TSVP) at OIST.
Louise Hespel
Office at OIST: Lab 5 EF03m
Louise Hespel is an associate professor in the PBS laboratory (Polymers, Biopolymers, Surfaces Laboratory) at University of Rouen since 2017, more specifically teaching general chemistry, polymer chemistry and modification post-polymerization in the chemistry department. She is part of the team MPBM (Materials polymers Barrier and Membranes) which focuses on the elaboration of various polymeric membranes and the study of the diffusion mechanisms of molecules through membranes.
She received her PhD in macromolecular chemistry from INSA (National Institute of Applied Sciences) of Rouen, under the supervision of Pr. Laurence Lecamp in 2013. During her PhD, she synthesized new amphiphilic stimuli-sensitive copolymers from linseed oil and studied the copolymers capacity to form micelles in aqueous media at different conditions of pH and temperature. This work has many applications in drug delivery.
From 2014 to 2015, she was a JSPS postdoctoral fellow in the laboratory of Prof. Kataoka in University of Tokyo where she developed new micelles with pH-detachable PEG-corona. In 2016, she joined ENS (Paris, Ulm) to work with Dr. Emmanuelle Marie and Dr. Christophe Tribet to synthesize a polymer adlayer able to trigger the adhesion and the deadhesion of cells. In PBS laboratory, her research focuses on the modification of polymeric membranes in order to bring specific properties like stimuli-sensitive properties.
TSVP Talk: "How To Tame Your Membrane?" by Louise Hespel | Thursday, June 20, 2024 - 15:00
Srikanth Ramaswamy
Office at OIST: Lab 5 EF03o
Dr. Srikanth Ramaswamy, is a Marie Curie Fellow, a Lister Prize Fellow and an Assistant Professor in computational neuroscience at Newcastle University. He is also a Fulbright Scholar at MIT and a Theoretical Sciences Visiting Scholar at OIST. He directs the Neural Circuits Laboratory at Newcastle University. His research focuses on the role of neuromodulators in shaping cognition in biological neural networks and building biologically-informed neural network models. He is a founding scientist of the Blue Brain Project at Ecole Polytechnique Federale De Lausanne (EPFL). He earned his PhD at the EPFL in computational neuroscience, where he developed data-driven modelling frameworks for biologically detailed digital models of neural networks. As a scientist of colour, Dr. Ramaswamy is passionately committed to promoting diversity, equity, and inclusion and is a founding member of the ALBA network, where he leads efforts to advance DEI in neuroscience, including launching the ALBA diversity podcast series in late 2020, highlighting the stories of emerging neuroscientists from underrepresented backgrounds.
Keiko Aoki
Office at OIST: Lab 5 EF03p
Keiko Aoki is an independent researcher based in Tokyo. Her main research field is condensed matter physics, and her main tool for research is molecular/particle dynamics simulation.
Since anisotropically fluctuating systems, such as liquid crystals and soft matter could not be properly treated by conventional molecular dynamics (MD) methods, we have developed a set of simulation methods which are called stress control methods. Stress control MD methods guarantee the system to be under hydrostatic pressure (or other condition) even in non-equilibrium processes. Time evolution under constant surface tension can be investigated by one of the stress control methods as well. This is in contrast to conventional MD methods, where only ensemble average can be controlled. The method is effective to investigate self-organization of soft matter, as well as glassy metastable states. ORCID ID
Nick Dorey
Office at OIST: Lab 5 EF03q
Nick Dorey received his PhD from Edinburgh University in 1991 and then held postdoctoral and junior faculty positions at Los Alamos National Laboratory, University of Washington and Swansea University. He has been a Professor of Theoretical Physics at the University of Cambridge since 2007. He is currently visiting OIST as a TSVP Visiting Scholar.
Anders Björn
Office at OIST: Lab 5 EF03r
Anders Björn is a Professor of Mathematics at Linköping University, Sweden, where he also received his PhD in 1995. He was a postdoc at University of Michigan, Ann Arbor, and has later spent longer research periods at Charles University in Prague, University of Cincinnati and the Mittag-Leffler Institute in Stockholm. His research is in analysis on metric spaces, mainly in collaboration with Jana Björn. In particular, he is interested in p-harmonic functions, partial differential equations and various minimization problems. He studies various solving methods and properties of the solutions, such as their interior and boundary regularity and growth estimates. This is research in pure mathematics and its aim is to provide rigorous fundamentals for and a better understanding of some problems, which could come from natural sciences and other fields. Analysis on metric spaces makes it possible to study such questions simultaneously in many different settings, for example on very rough sets and for highly nonhomogeneous media. It also brings new insight into which properties and assumptions are really essential for the theory and which are the main obstructions. A popular-scientific description of Anders's research is at this website.
Jana Björn
Office at OIST: Lab 5 EF03g
Jana Björn is a Professor of Mathematics at Linköping University, Sweden, where she also received her PhD in 1996. She was a postdoc at University of Michigan, Ann Arbor, and then at Lund University. She has also spent longer research periods at Charles University in Prague, University of Cincinnati and the Mittag-Leffler Institute in Stockholm. Her research is in analysis on metric spaces, mainly in collaboration with Anders Björn. In particular, she is interested in p-harmonic functions, partial differential equations and various minimization problems. She studies various solving methods and properties of the solutions, such as their interior and boundary regularity and growth estimates. This is research in pure mathematics and its aim is to provide rigorous fundamentals for and a better understanding of some problems, which could come from natural sciences and other fields. Analysis on metric spaces makes it possible to study such questions simultaneously in many different settings, for example on very rough sets and for highly nonhomogeneous media. It also brings new insight into which properties and assumptions are really essential for the theory and which are the main obstructions. A popular-scientific description of Jana's research is at this website.
Daniel Chourrout
Office at OIST: Lab 5 EF03t
Daniel Chourrout has established the Sars International Centre for Marine Molecular Biology in 1997 and been its director until 2020. This institute is a Partner of EMBL, the European Molecular Biology Laboratory since 2023. His own research is focused on the evolution of chordate development, using tunicates as model systems. Before moving to Norway, Daniel Chourrout was heading the Laboratory of Fish Genetics at INRA (French Institute of Research for Agriculture). His training is in Genetics from the University Pierre et Marie Curie in Paris.