Find Academic Supervisors

Aniruddha AdigaView profile

Assistant Professor

• Signal Processing
• Machine Learning
• Infectious Disease Modeling
• +3 more

Aniruddha Adiga serves as a Research Assistant Professor at the Biocomplexity Institute, University of Virginia, where he co-leads infectious disease forecasting initiatives. His work develops statistical and deep-learning models for real-time disease prediction, bridging signal processing and machine learning to address public health challenges. Education: Ph.D. in Electrical Engineering from the Indian Institute of Science (2018), focusing on sparse signal representation and blind deconvolution algorithms Research Interests: Dr. Adiga's work centers on applying machine learning and signal processing to infectious disease dynamics. He pioneers real-time forecasting systems using deep neural networks and statistical methods to model outbreak trajectories. His research integrates epidemiological data with computational techniques to enhance prediction accuracy for diseases like influenza and COVID-19, directly supporting public health decision-making through interdisciplinary approaches spanning computer science, data analytics, and global health security. Scientific Awards: No awards specified in source material Advising and Funding: While specific students and grants aren't detailed in the text, his leadership in infectious disease forecasting implies active mentorship within the Biocomplexity Institute's research ecosystem. His work likely involves collaborative funding from public health agencies focused on epidemic prediction infrastructure. Labs and Teams: Dr. Adiga operates within the Biocomplexity Institute's infectious disease forecasting team, utilizing high-performance computing resources at their Charlottesville facility (Town Center Four). This group specializes in operational prediction systems that process real-world surveillance data for near-term outbreak projections.

Baltazar EspinozaView profile

Assistant Professor

• Mathematical Modeling
• Computational Modeling
• Infectious Diseases
• +3 more

Baltazar Espinoza serves as a Research Assistant Professor at the University of Virginia's Biocomplexity Institute, focusing on interdisciplinary research bridging mathematics, computation, and public health. Education: Ph.D. in Applied Mathematics for Life and Social Sciences, Arizona State University (2018) Postdoctoral Research Scholar, Arizona State University Visiting Research Scholar, Brown University His research centers on mathematical and computational modeling of infectious disease dynamics and population behavior , with emphasis on how individual risk-response decisions during epidemics form complex adaptive systems . This work provides critical insights for epidemic control strategies in heterogeneous communities. As former co-director and five-year mentor of Arizona State University's Mathematical and Theoretical Biology Institute (MTBI), he has guided numerous undergraduate researchers from Latin America and the USA, demonstrating strong commitment to mentoring emerging scientists. Based at UVA's Biocomplexity Institute in Charlottesville, he leverages institutional resources for cross-disciplinary collaboration on biological and social complexity.

Diksha GuptaView profile

Research Fellow

• Artificial Intelligence
• Network Science
• Distributed Systems
• +4 more

Diksha Gupta is a Postdoctoral Research Associate at the Biocomplexity Institute, University of Virginia, where she applies artificial intelligence (AI) to study complex real-world networks such as social, cyber, and supply chain systems. She also explores robust federated learning within distributed systems. Prior positions include research roles at INRIA France, IBM Research, and the National University of Singapore’s School of Computing. She earned her Ph.D. with Distinction from the University of New Mexico. Education: Ph.D. with Distinction, University of New Mexico. Her research focuses on designing provably secure, scalable, and efficient protocols for distributed systems. Key interests include randomized algorithms, distributed graph algorithms, algorithmic game theory, and biologically-inspired systems. Recent publications highlight trends in AI applications for network systems, theoretical foundations of Sybil defense mechanisms, and distributed algorithms for secure systems. Notable work spans AI-driven network science, decentralized cybersecurity, and swarm robotics. Scientific Awards: PODC Student Travel Grant for PODC’19, TCPP Student Travel Grant for IPDPS’19, Ph.D. with Distinction from the University of New Mexico. No formal advising roles or students are currently documented. She is affiliated with the Biocomplexity Institute at the University of Virginia, collaborating on interdisciplinary research projects.

• Biological Oscillators
• Systems Biology
• Biophysics
• +4 more

Alessandra Lucchetti is a Postdoctoral Fellow at the Biocomplexity research group within the Niels Bohr Institute at the University of Copenhagen. Her interdisciplinary work bridges physics, biology, and computational modeling to understand complex biological systems with implications for cancer research, neuroscience, and medical applications. Dr. Lucchetti earned her PhD in 2023 from the Faculty of Science at the University of Copenhagen with her dissertation titled "Exploring the complex dynamics of biological oscillators and their downstream effects." Her educational background combines expertise in theoretical physics with biomedical applications. Her primary research focuses on biological oscillators, particularly the p53 network that plays a critical role in cancer prevention and DNA repair. Dr. Lucchetti applies advanced mathematical and computational approaches to model complex biological phenomena across multiple scales - from molecular interactions to tissue-level effects. Her work spans several key areas including the dynamics of cellular oscillators, biophysical modeling of neurodegenerative diseases like Parkinson's, and application of machine learning to clinical outcomes prediction. Analysis of Dr. Lucchetti's publication record reveals a consistent theme of applying physics-based modeling to biomedical problems. Her recent work demonstrates particular expertise in oscillatory systems, with publications examining p53 dynamics, chimera states in neuronal networks, and therapeutic strategies derived from biophysical modeling. The research shows strong translational potential, connecting fundamental biophysical principles with clinical applications in oncology and neuroscience. Dr. Lucchetti maintains active collaborations with both experimental and clinical researchers, as evidenced by her co-authorship on studies involving wet-lab validation of computational models. Her work has been published in high-impact journals including Cell, Cell Systems, and eNeuro, with several papers generating significant attention in both academic and social media spheres. She is part of the vibrant research ecosystem at the Niels Bohr Institute, contributing to the Biocomplexity group's mission of applying physics approaches to complex biological systems.

• Biocomplexity
• Biophysics
• Theoretical Physics
• +2 more

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.

• Biophysics
• Developmental Biology
• Wound Healing
• +3 more

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.

Denys Villa GomezView profile

Senior Lecturer

• Environmental Engineering
• Bioremediation
• Critical Metals Recovery
• +4 more

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.

• Bioinformatics
• Immunology
• Computational Immunology
• +6 more

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.

Stephen EubankView profile

Adjunct Professor

• Computational Epidemiology
• Network Science
• Complex Systems
• +3 more

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 LevinView profile

Professor

• Ecology
• Mathematical epidemiology
• Theoretical Biology
• +3 more

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.

• Cell Biology
• Neurobiology
• Biophysics
• +3 more

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 JordanView profile

Professor

• Environmental Change
• Coastal Geomorphology
• Human-Environment Interactions
• +6 more

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.

• Fluid Physics
• Pattern Formation
• Biocomplexity
• +3 more

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.

Hossein KhodamoradiView profile

Researcher

• Fluid Dynamics
• Atmospheric Sciences
• Aerosol Physics
• +3 more

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.

• Fluid Dynamics
• Turbulent Convection
• Pattern Formation
• +2 more

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