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 |
| Mihnea Bostina (Otago University) |
2024-12-07 | 2025-12-06 | Biology, Structural Biology, Virology | Bandi, Chakraborty, Husnik, Kusumi, Wickens, Yamamoto, Wolf, Sitsel | VS |
| Kian Ming (DSO National Laboratories, Singapore) |
2024-12-02 | 2025-02-28 | Artificial Intelligence, Machine Learning, Statistical Analysis | Yamada | A |
| 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 |
| Sputniko! (Artist / Entrepreneur / Tokyo University of the Arts) |
2024-11-25 | 2024-12-12 | Art, Impact of Technology on Society | A | |
| 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 |
| Matthias Salzger (Gdańsk University) |
2024-11-16 | 2024-11-30 | Quantum, Quantum foundations and information | Nic Chormaic, Elkouss, Höhn, Speyer, H. Takahashi | A |
| Oliver Schraidt (Iberian Nanotechnology Laboratory) |
2024-11-12 | 2025-01-11 | Cryo-Electron Microscopy | Sitsel | A |
| Iliona Wolfowicz (Freelance Grant Writing Consultant) |
2024-11-12 | 2025-01-11 | Cnidarian Biology, Cnidarian-Algal Symbiosis | Sitsel | A |
| Hiroaki Gomi (NTT Communications Science Laboratory) |
2024-11-09 2025-01-13 |
2024-11-22 2025-01-28 |
Neuroscience, Sensorimotor Control/Learning, Visuomotor Control | Doya, Tani | DV |
| Susumu Ariki (Osaka University) |
2024-11-04 2025-03-02 |
2024-11-29 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 |
| Shyam Srinivasan (University of California) |
2024-11-01 | 2025-10-31 | Biology, Computer Science, Neuroscience, Evolution, Quantitative Anatomy, Sensory Neuroscience | Goda, Pao | VS |
| James Berg (Allen Institute for Neural Dynamics) |
2024-10-28 | 2025-02-15 | Neuroscience | Doya, Fukunaga, Kuhn, T. Takahashi, Yamada, Yoshida | VS |
| Il Memming Park (Champalimaud Foundation) |
2024-10-20 | 2025-02-28 | Engineering and Applied Sciences, Neuroscience, Recurrent neural network, machine learning, neuro AI | Doya, Fukai, Hikami, Pao, Pigolotti, Uusisaari | VS |
| Jamie Kass (Tohoku University) |
2024-10-13 | 2024-10-20 | Ecology, Biodiversity Modeling | Economo | C |
| Sarah Butcher (University of Helsinki) |
2024-10-08 | 2024-10-25 | Structural Biology, Electron Microscopy | Kondrashov, Sitsel, Wolf | C |
| Keiko Aoki (Tokyo) |
2024-09-12 | 2024-12-12 | Material Science, Mathematics, Physics, Molecular dynamics simulation | Bandi, Chakraborty, Hikami, Husnik, Liu | DV |
| Haruka Matsumoto (Technical University of Denmark) |
2024-09-02 2024-12-17 |
2024-11-06 2025-02-10 |
Marine Sciences, Engineering, Atmosphere and Ocean Data Analysis |
Ravasi | DV |
| Michael Hausser (University College London) |
2024-09-05 2024-11-15 |
2024-09-08 2024-12-20 |
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 B. Araújo (Spanish National Research Council) |
2024-08-21 | 2025-01-20 | Biogeography, Climate Change, Ecology | 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 2024-10-22 |
2024-08-23 2024-12-20 |
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 |
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.
James Berg
Office at OIST: Lab 5 EF03n
Jim is the Director of Scientific Operations for the Allen Institute for Neural Dynamics. He joined the Allen Institute for Brain Science in 2012, where he led a team to use the Patch-seq technique to catalogue the electrophysiological, morphological, and transcriptomic profile of thousands of neurons from mouse and human brain sections, publicly released as part of the Allen Cell Types Database. Previously, he studied the role of the TMEM16A ion channel in pain processing and engineered a genetically encoded fluorescent sensor for ATP. Jim joined the Allen Institute for Neural Dynamics in 2020 as the Director of Scientific Operations (also employee #1), where he and his team work to support and accelerate the work of the scientific groups. Jim has two kids (Orion (10yo) and Maylin (7yo)) who keep him very busy.
Jamie Kass
Office at OIST: Lab 5 EF03b
Jamie M. Kass is tenure-track Associate Professor and PI of the Macroecology Lab at the Graduate School of Life Sciences at Tohoku University. He is an ecologist who researches large-scale patterns and processes in biodiversity, focusing on the development and application of models that make predictions of species' ranges and biodiversity indices over space and time. The Macroecology Lab is a fully bilingual environment (Japanese and English) and currently has 16 members, including undergraduates, graduate students, and professors that together represent 7 countries. Dr. Kass spent 4 years at OIST as a postdoctoral researcher (2019-2023) working with Prof. Evan Economo in the Biodiversity and Biocomplexity Unit. He is originally from New York City, USA and has lived in Japan for ~6 years.
Sarah Butcher
Office at OIST: Lab 5 EF03f
Prof Sarah Butcher has over 30 years’ experience in cryoEM, structural biology and antiviral drug discovery, primarily in academia. Currently, she is Professor of Microbiology, in a joint position between the Faculty of Biological and Environmental Sciences and the HiLIFE Institute of Biotechnology, University of Helsinki, Finland where she focuses on the structure and function of neglected and emerging viruses. She gained her PhD for work done in EMBL, Heidelberg, Germany on the cryoEM structures of lipid-containing bacteriophage, carried out a postdoctoral fellowship in the MRC Virology Unit in Glasgow, UK establishing cryoEM, and then moved to Finland where she started the country’s first cryoEM unit in the late 1990s. She is an elected fellow of EMBO and the Finnish Society of Sciences and Letters. Currently, she leads the Finnish Instruct Centre and is Chair of the Instruct-ERIC Council, which coordinates access to structural cell biology infrastructure across Europe.
Susumu Ariki
Office at OIST: Lab 5 EF03
Susumu Ariki is currently a Professor Emeritus of Mathematics at Osaka University and a visiting senior scientist at Kavli Institute for the Physics and Mathematics of the Universe. He has been studying representations of algebras arising in Lie theory. In order to study those algebras, he has successfully applied (i) categorification of integrable highest weight modules over affine Kac-Moody Lie algebras and their quantum groups, (ii) the Auslander-Reiten theory and Adachi-Iyama-Reiten's tau-tilting theory, (iii) recent advances in the theory of Brauer graph algebras, etc. He is currently working on the comparison of his categorification with other categorification.
Miguel B. Araújo
Office at OIST: Lab 5 EF03m
Miguel B. Araújo is a biogeographer dedicated to understanding how Life distributes in space and time, and why. He employs a wide range of modelling approaches to explore how climate influences the distributions of species and controls complex properties and dynamics of communities. He is a Research Professor of the Spanish Research Council (CSIC) and Chair of Biodiversity at the University of Évora. In the past, he also held faculty or research positions at the Imperial college London, Oxford University, University of Copenhagen, French National Research Council (CNRS), and the Natural History Museum in London. Personal Website
Cintia Pacchiano
Office at OIST: Lab 5 EF03g
Cintia Pacchiano has a PIMS Post-doctoral Fellowship at the University of Calgary. Her research area is mathematical analysis, more precisely, theoretical aspects of nonlinear partial differential equations (PDEs). Her primary focus is on regularity theory of elliptic and parabolic PDEs, in connection with the calculus of variation and potential theory. Most recently, analysis on metric measure spaces forms a central aspect of her work, as it provides an integrating structure for ideas and questions from many different areas of mathematics.
Havva Yoldas
Office at OIST: Lab 5 EF03q
Havva Yoldaş is an assistant professor at the Delft Institute of Applied Mathematics, TU Delft in the Netherlands. Her research focuses on analysis of partial differential equations (PDEs) arising from applied sciences. She is particularly interested in well-posedness and long-time behaviour of PDEs appearing in structured population dynamics (neuron population models, growth-fragmentation equations etc.), kinetic theory (Boltzmann-type equations, run and tumble equations for bacterial chemotaxis) and coupled PDE models such as cross-diffusion systems for competing species. Personal website
Raphael Winter
Office at OIST: Lab 5 EF03q
Raphael Winter is an assistant professor in Mathematical Analysis at Cardiff University. He mainly works on Partial Differential Equations describing the kinetic theory of gases and plasmas, as well as their derivation from interacting particle systems. Recent works include the stopping power law for ions, collisional relaxation of plasma and the regularity of the Landau-Coulomb equation.
Erich Bornberg-Bauer
Office at OIST: Lab 5 EF03p
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
