Adrien Sarlet is a postdoctoral researcher at the Niels Bohr Institute , University of Copenhagen , specializing in the Biocomplexity section. His work intersects physics, biology, and computational modeling, focusing on complex systems and biophysics. Research Interests: Biocomplexity, biophysics, theoretical physics, and computational biology, with applications to complex systems. His affiliation with the Niels Bohr Institute underscores his engagement with interdisciplinary research at the intersection of physical and life sciences.
Jakob Hallundbæk Schauser is a PhD Fellow at the Biocomplexity research group within the Niels Bohr Institute at the University of Copenhagen. His research focuses on the intersection of biophysics and developmental biology, particularly examining how mechanical cues influence protein complexes in vertebrate morphogenesis and wound healing processes. His work combines experimental approaches with theoretical modeling to understand the fundamental mechanisms driving cellular organization and tissue formation. Dr. Schauser's research contributes to our understanding of developmental processes and has potential applications in regenerative medicine and tissue engineering. His notable work includes research on ADIP protein complexes and their role in controlling vertebrate morphogenesis and wound healing. Dr. Schauser can be reached at jakob.schauser@nbi.ku.dk or by phone at +4535329993.
Dr. Denys Villa Gomez is a Senior Lecturer at the School of Civil Engineering , University of Queensland, and a Research Fellow at the Australian Institute for Bioengineering and Nanotechnology . With a PhD from IHE-Delft/Wageningen University (2013), she specializes in biotechnological processes for resource recovery from mine waste and wastewater, including omics approaches and microspectral tools. Academic Appointments Senior Lecturer, School of Civil Engineering, University of Queensland Research Fellow, Australian Institute for Bioengineering and Nanotechnology Research Themes Critical metals recovery from mine waste Synbio Mining (UQ Biosustainability Hub) Bioprocesses for circular economy Bioremediation of acid mine drainage Wastewater valorization Research Trends : Her publications focus on biogenic sulfide applications for metal recovery, synthetic biology in mining, and waste-to-resource conversions using microbial systems. Key technologies include sulfate-reducing bioreactors, microbial fuel cells, and peptide-based biosorption. Supervision and Leadership : She has supervised multiple PhD candidates and served as Chief Investigator in the ARC Training Centre in Critical Resources for the Future . Her work has influenced international standards for mine water treatment and metal recovery.
Dr. C. (Can) Kesmir is an Associate Professor in the Bioinformatics group at the Faculty of Science, Utrecht University, where he leads research at the intersection of computational methods and immunological discovery. His work focuses on developing bioinformatics approaches to understand antigen presentation, T-cell recognition, and immune responses in health and disease. Dr. Kesmir studied Computer Science at Bosphorus University in Istanbul and Chemical Engineering at Danish Technical University, earning his Ph.D. in 1999 from the same institution. He completed postdoctoral training in the laboratory of Prof. Soeren Brunak at the Center for Biological Sequence Analysis in Copenhagen, Denmark, before establishing his independent research group at Utrecht University in 2006. His research interests center on computational immunology, with particular focus on: Development of bioinformatics methods to identify antigenic regions in genomes Evolution of antigen presentation and processing pathways Host-pathogen co-evolution, particularly using HIV-1 as a model system Genetic associations of infectious diseases Identification of neo-antigens in cancer immunotherapy Improving organ transplantation through HLA mismatch analysis Analysis of Dr. Kesmir's publication record reveals a consistent trajectory in computational immunology, with increasing focus on translational applications in infectious disease and cancer. His work demonstrates strong interdisciplinary integration between theoretical modeling, bioinformatics tool development, and experimental immunology validation. Recent publications show particular emphasis on T-cell receptor specificity, MHC-peptide interactions, and applications to emerging pathogens like SARS-CoV-2. Among his notable achievements is receiving the High Potential award from Utrecht University in 2007. He serves on the editorial board of the Immunomics journal and was a member of the Danish CensorNet for engineering students. Dr. Kesmir teaches courses including Animal Biology, Host-Microbe Interactions, Immunobiology, and Thesis Projects. He leads research within the Biodynamics and Biocomplexity group at Utrecht University and is associated with the Utrecht Molecular Immunology Hub, where his team develops computational approaches to address fundamental questions in immune recognition and response.
Simon A. Levin is the James S. McDonnell Distinguished University Professor in Ecology and Evolutionary Biology at Princeton University, where he has been affiliated since 1992. He also holds an Adjunct Professorship at Cornell University. His research bridges ecological theory, evolutionary biology, and environmental economics, focusing on macroscopic patterns in ecosystems, infectious disease dynamics, and sustainable management of global commons. B.A., Johns Hopkins University Ph.D., University of Maryland (Mathematics) Levin’s work integrates mathematical modeling with ecological data to study resilience, pattern formation, and multiscale processes in natural systems. He explores how individual-level ecological and evolutionary mechanisms generate collective outcomes at ecosystem and biosphere scales, emphasizing the importance of scale mismatches in conservation challenges. Recent publications highlight his contributions to epidemic modeling coupled with human behavior, spatial ecology of savanna-forest boundaries, and network-based analyses of social-ecological systems. His 2025 work on risk compensation and surveillance systems demonstrates how behavioral feedbacks influence disease containment strategies. MacArthur Award (1988) Kyoto Prize in Basic Sciences (2005) A.H. Heineken Prize for Environmental Sciences (2004) National Academy of Sciences member Fellow of AAAS and American Academy of Arts and Sciences As director of the Princeton Center for BioComplexity, Levin mentors over 100 graduate students and postdocs. His lab investigates topics like microbial interactions, climate-driven ecosystem shifts, and prosocial behavior in resource governance.
Stephen Eubank is an Adjunct Professor in the Department of Population Health Sciences at the Virginia-Maryland College of Veterinary Medicine, Virginia Tech. He holds a PhD in Physics from the University of Texas and postdoctoral experience at Los Alamos National Lab and the La Jolla Institute. His research focuses on computational epidemiology, network science, and socio-technical systems simulation. He has led major projects like the Epidemiological Simulation System (EpiSims) and contributed to the NIH MIDAS network for infectious disease modeling. Professional roles include Deputy Director of the Network Systems Science and Advanced Computing division at the University of Virginia’s Biocomplexity Institute. His work spans infrastructure resilience, pandemic response strategies, and agent-based modeling of complex systems. He has developed tools for evaluating vaccine allocation, analyzing cascading failures in power grids, and assessing economic impacts of public health policies. Research interests include network structure analysis, scaling in complex systems, and diffusive processes on networks. His articles prioritize understanding disease spread dynamics, network reliability, and policy implications of pandemic interventions. Collaborative efforts involve interdisciplinary teams addressing global health challenges such as Ebola and influenza outbreaks, as well as socio-technical system vulnerabilities.
Simon Levin is the James S. McDonnell Distinguished University Professor in Ecology and Evolutionary Biology at Princeton University. He holds associated faculty appointments at the Andlinger Center for Energy and the Environment (since 2019), Princeton University Center for Human Values (since 2017), and the Program in Global Health and Health Policy at the Princeton School of Public and International Affairs (since 2016). Since 2001, he has directed the Center for BioComplexity within the High Meadows Environmental Institute. Education: B.A. in Mathematics, The Johns Hopkins University, 1961 Ph.D. in Mathematics, The University of Maryland, 1964 Research Interests: Levin's interdisciplinary work integrates theoretical biology, ecology, and mathematics to address complex systems across scales—from microbial interactions to global ecosystems. His research focuses on mathematical epidemiology, evolutionary dynamics, ecological economics, and environmental stochasticity, particularly in savanna-forest transitions and pandemic modeling. Honors and Awards: MacArthur Award (1988) National Medal of Science (2014) Kyoto Prize (2005) BBVA Frontiers of Knowledge Award (2022) 20+ additional major international prizes and academy fellowships Grants and Advising: Levin leads multiple active NSF grants on pandemic preparedness ($125,606), ecological resilience ($981,900), and computational epidemiology ($413,568). He has supervised 73 PhD students (with 10 ongoing) and 112 postdoctoral researchers through the Center for BioComplexity.
Dr. Maarten Bebelman is a Researcher in the Department of Biology at Utrecht University, Faculty of Science, where he contributes to the research group focused on Cell Biology, Neurobiology, and Biophysics within the Biodynamics and Biocomplexity theme. His research lies at the intersection of cellular dynamics and neurobiological systems, emphasizing complex biological behaviors and structures. This work is situated within the broader domain of Life Sciences, particularly exploring mechanisms underlying cellular organization and neural function. The research themes associated with his profile indicate a strong focus on dynamic and complex biological systems, integrating principles from physics and biology to understand living processes at multiple scales. There are no listed scientific awards, grants, or student advisement roles in the available information. Dr. Bebelman is affiliated with the Cell Biology, Neurobiology and Biophysics research division, which is part of the Biodynamics and Biocomplexity cluster within the Department of Biology, focusing on quantitative and systems-level understanding of life processes.
James Jordan, PhD, is a Core Faculty member in the Environmental Studies & Sustainability program at Antioch University New England. His research focuses on understanding environmental change through the lens of human-environment interactions, particularly in Arctic and sub-Arctic coastal regions. He combines geomorphological, climatological, and archaeological approaches to analyze long-term landscape evolution and community resilience to environmental shifts. PhD in Geography from University of Wisconsin-Madison MA in Quaternary Studies from University of Alaska-Fairbanks BA in Anthropology/Archaeology from University of Missouri-Columbia His work emphasizes interdisciplinary collaboration across geology, ecology, and anthropology to address climate change impacts, coastal erosion, and sustainable resource management. Recent projects involved partnerships with National Park Service, University of Alaska-Fairbanks, and National Science Foundation-funded initiatives. Key publication themes include Holocene environmental changes, Arctic coastal dynamics, and biocomplexity studies. He teaches courses in Earth Systems Science, Geomorphology, and Coastal Environments while leading field studies programs that bridge theoretical frameworks with practical learning experiences.
Andrew Mark Jellinek is a Professor at the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity (LFPB) within the Max Planck Institute for Dynamics and Self-Organization. His research focuses on interdisciplinary problems at the intersection of fluid dynamics, pattern formation, and biocomplexity.
Dr. Hossein Khodamoradi is a Postdoctoral Researcher at the Max Planck Institute for Dynamics and Self-Organization, specializing in Fluid Physics and interdisciplinary domains. He earned his academic foundation in Condensed-Matter Physics at Bu-Ali Sina University in Iran, advancing his expertise in numerical simulations and experimental studies. Laboratory for Fluid Physics, Pattern Formation and Biocomplexity Research in aerosol dynamics, atmospheric science, and semiconductor crystal growth His research spans Fluid Dynamics , Thermal Stress Analysis , and Atmospheric Sciences , with a focus on computational modeling using COMSOL, OpenFoam, and Ansys. Key projects include WindArts (wind-atmosphere interactions), Crystal Growth Optimization for silicon carbide and germanium, and Aerosol Transport & Infection Risk assessments for airborne diseases. Recent publications emphasize crystal growth methodologies , thermal stress in materials , and surface force dynamics . Notable work includes refining Czochralski and Vertical Bridgman processes, analyzing coil-crucible geometries, and applying AFM to nanocomposite surface studies. He actively engages in interdisciplinary collaborations, leveraging advanced computational tools to address challenges in fluid mechanics, atmospheric research, and semiconductor manufacturing. Contact details include phone numbers (+49 551 5176-456, +49 551 5176-302) and affiliation with the Turbulence and Particles in Fluids research group.
Jiaxing Song is a Scientist at the Max Planck Institute for Dynamics and Self-Organization , affiliated with the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity . Their research focuses on theoretical aspects of turbulent convection and complex fluid dynamics. Current position: Researcher (Scientist) at Max Planck Institute Research areas: Fluid Dynamics, Turbulent Convection, Pattern Formation, Biocomplexity Contact: Office 2.133, Am Faßberg 17, 37077 Göttingen
Jayeeta Chattopadhyay is a Postdoctoral Fellow at the Niels Bohr International Academy , part of the Niels Bohr Institute at the University of Copenhagen . Her work focuses on Biophysics and Active Matter , with a specific emphasis on soft matter systems and entropy-driven phase behavior. Department: Biocomplexity and Biophysics Email: jayeeta.chattopadhyay@nbi.ku.dk Office: Building C, room Ck1, Blegdamsvej 17, Copenhagen Research Overview: Chattopadhyay investigates complex systems in biophysics, including entropy-based phase formation in soft rod materials. Her work intersects statistical mechanics, computational physics, and molecular dynamics, contributing to understanding active matter behavior. Recent Publication: In 2023, she co-authored a study on entropy-driven phase transitions in soft rod systems published in the Journal of Chemical Physics , analyzing molecular simulations and phase behaviors.
Nicholas Landry is an Associate Professor of Biology at the University of Virginia with a courtesy appointment in the School of Data Science. His research examines contagion dynamics on complex systems, focusing on how higher-order network structures influence disease and information spread through interdisciplinary approaches combining network science, dynamical systems, and open-source development. His educational background includes a B.S. in Mechanical Engineering from the University of New Hampshire (2014), M.S. and Ph.D. in Applied Mathematics from the University of Colorado Boulder (2020, 2022), and postdoctoral training at the Vermont Complex Systems Center (2022-2024). Landry's core research investigates dynamical processes on higher-order networks, Bayesian inference for network structure reconstruction, and open-source software development. He maintains the XGI and HyperContagion libraries to advance cross-disciplinary research in network science, with applications spanning epidemiology, social contagion, and governance systems. His work emphasizes the critical role of group interactions in altering contagion dynamics compared to traditional pairwise models. Analysis of recent publications reveals accelerating focus on hypergraph structures, real-world dataset integration (particularly Bluesky social media), and computational frameworks for governance modeling. The research trajectory shows increasing methodological sophistication in handling higher-order interactions while maintaining strong connections to empirical social and biological systems. Scientific recognition includes: Small Data Analytics Resource Award from UVA's Data Analytics Center for "Analyzing large-scale social networks through the Bluesky social media platform" Landry actively mentors graduate researchers including Kuankuan Hu, Abhay Gupta, and Ahmed Ahmed through the Computing for Global Challenges program. His lab secured the Small Data Analytics Resource Award and participates in EXPAND fellowship collaborations with Professors Kasimatis and Brodie, integrating network methods into sexual conflict research and behavioral phenotyping. The Landry Lab, established August 2025, collaborates extensively with UVA's Biocomplexity Institute, Quantitative Collaborative, and School of Data Science. Current expansion includes postdoc Daniel Kaiser and multiple PhD students, with active development of open-source tools and participation in international conferences like NetSci 2025 where Landry organized the "Software and Data for Supporting Network Science" workshop.
Prashant Singh is a Postdoctoral Researcher (Researcher) in the Biocomplexity group at the Niels Bohr Institute, University of Copenhagen. His work focuses on theoretical and statistical physics with applications in biological systems, leveraging analytical methods to solve complex non-equilibrium problems. His research spans statistical physics, non-equilibrium thermodynamics, and theoretical biophysics, investigating phenomena like active matter phase transitions, positional information in boundary-driven systems, and stochastic thermodynamics. Key interests include diffusion with resetting, entropy production inference, and reaction-diffusion modeling, often revealing fundamental trade-offs in biological information processing and thermodynamic efficiency. Analysis of his 2024-2025 publications shows a cohesive focus on exact solutions for non-equilibrium systems, particularly single-file diffusion under resetting and active matter with long-range interactions. Recurring themes include cost-time optimization, boundary effects on information transmission, and the thermodynamic constraints of biological computation. No information is available regarding student advising or research grants. He is embedded within the Biocomplexity research group at the Niels Bohr Institute, which employs theoretical frameworks to study collective dynamics in biological systems, including pattern formation, cellular information processing, and emergent behavior in active matter.
