جست‌وجوی استاد و پژوهشگر

Corina Tarnitaمشاهده پروفایل

استاد

• Ecological Theory
• Evolutionary Game Theory
• Multicellularity Evolution
• +۳ مورد دیگر

Corina Tarnita is a Professor of Ecology and Evolutionary Biology at Princeton University, affiliated with the High Meadows Environmental Institute (HMEI). Her research focuses on understanding complex adaptive systems through theoretical frameworks and empirical integration. She leads the Tarnita Lab, which develops models linking ecological and evolutionary dynamics across scales, from cells to ecosystems. Her work combines evolutionary game theory, network theory, and empirical collaborations in molecular biology, experimental ecology, and field studies. Research interests include the evolution of multicellularity, spatial patterning in ecosystems, and the role of social behavior in bacteria, insects, and humans. Notable contributions include studies on termite-driven vegetation patterns, the evolution of cooperation, and ecological resilience to climate change. Tarnita’s lab emphasizes bridging theoretical predictions with experimental validation through eco-evolutionary experiments, genomic analyses, and field manipulations. Her work has been featured in interdisciplinary collaborations, including studies on large herbivore impacts in African savannas and the ecological significance of microbial interactions. Tarnita’s theoretical contributions address questions of biodiversity, ecosystem robustness, and the emergent properties of collective systems, with applications spanning biology, sociology, and environmental science.

• Developmental Biology
• Systems Biology
• Cell Biology
• +۳ مورد دیگر

Jeroen van Zon is a Group Leader at AMOLF, focusing on Quantitative Developmental Biology. He holds a PhD in Theoretical Physics (2006) and a Physics degree (2002) from the Vrije Universiteit Amsterdam. His postdoctoral work included studying molecular noise in cell fate patterning at MIT (2008–2010) under Prof. Alexander van Oudenaarden. He has pioneered computational and experimental approaches to understand stochastic processes in developmental biology, particularly in C. elegans and intestinal organoids. Research Interests: Dr. van Zon’s work integrates biophysics, systems biology, and developmental biology to study cell fate decisions, tissue homeostasis, and noise-driven developmental processes. He develops tools like OrganoidTracker for quantitative cell tracking and employs CRISPR-based methods to study gene regulation in organoids. Key themes include: - Stochasticity in cell signaling and differentiation - Mechanisms of robustness in self-renewing tissues - Temporal coordination in whole-animal development Awards: - Human Frontier Science Program Fellowship (2008) Advancing Cell Tracking Technology: His lab has developed novel methods for live-cell imaging and error-prediction algorithms to study organoid dynamics. Collaborations span experimental biology, computational modeling, and engineering to bridge scales from molecular fluctuations to tissue-level patterns. AMOLF Affiliations: His group is part of AMOLF’s Physics of Behavior and Biochemical Networks research lines, leveraging interdisciplinary approaches to unravel fundamental biological principles.

Mario Di Bernardoمشاهده پروفایل

استاد

• Nonlinear Systems and Control
• Complex Networks Analysis
• Piecewise-Smooth Dynamical Systems
• +۴ مورد دیگر

Mario Di Bernardo is a Professor of Automatic Control at the University of Naples Federico II and Honorary Professor of Nonlinear Systems and Control at the University of Bristol. He serves as Rector's Delegate for International Relations and coordinates the PhD Program in Modeling and Engineering Risk and Complexity at the Scuola Superiore Meridionale. His research focuses on nonlinear systems, complex networks, and control theory, with applications in engineering, robotics, and synthetic biology. He has received numerous awards, including the IEEE Fellow designation (2012) and the Cavaliere of the Order of Merit of Italy (2007). Di Bernardo leads international initiatives, including the IEEE Control Systems Society as Vice President for Technical Activities (2025–2026), and contributes to editorial roles in top journals like IEEE Transactions on Control of Network Systems . His research interests span complex systems control, multi-agent systems, and cyber-physical systems. Notable achievements include developing frameworks for controlling microbial consortia, analyzing crowd dynamics, and designing reinforcement learning strategies for robotic herding. He advises PhD students and postdoctoral researchers, with notable advisees winning awards like the IEEE Best Young Paper and Bristol’s Best PhD Thesis. Di Bernardo’s work integrates control engineering with synthetic biology, exemplified by projects like the EU-funded BeyondTheEdge and SHARESPACE . Di Bernardo has authored over 220 publications, with an h-index of 51 and 11,000+ citations. He leads research teams addressing societal challenges, such as pandemic modeling and sustainable energy systems. His labs and collaborations involve institutions like the Scuola Superiore Meridionale, University of Bristol, and international consortia.

Davide Fioreمشاهده پروفایل

استادیار

• Nonlinear Systems and Control
• Switched and Hybrid Systems
• Multi-Agent Systems
• +۳ مورد دیگر

Davide Fiore is an Assistant Professor of Automatic Control at the Department of Mathematics and Applications "R. Caccioppoli", University of Naples Federico II. His research focuses on nonlinear systems and control, switched and hybrid systems, multi-agent systems, and synthetic biology. He received his Bachelor's and Master’s degrees in Automation Engineering from the University of Naples Federico II (2010 and 2013), followed by a Ph.D. in Information Technology and Electrical Engineering in 2017. His academic journey includes visiting research periods at the University of Cambridge (UK) and the University of Bristol (UK), as well as a research internship at IBM Research Ireland. From 2017 to 2019, he held a postdoctoral position at the University of Naples, focusing on stochastic multi-agent systems in synthetic biology. Since 2020, he has been a fixed-term Assistant Professor at his alma mater. His professional roles include serving as an Associate Editor for the EUCA Conference Editorial Board (2019–2022) and the IEEE CSS Conference Editorial Board (2022–present). Education: Bachelor's in Automation Engineering, University of Naples Federico II (2010) Master’s in Automation Engineering, University of Naples Federico II (2013) Ph.D. in Information Technology and Electrical Engineering, University of Naples Federico II (2017) Research Interests: Fiore’s work integrates control engineering principles with biological systems, emphasizing synthetic biology applications. Key areas include: Design of feedback control mechanisms for cell growth and microbial populations Development of whole-cell biosensors through synthetic biology and control theory Analysis of multi-agent systems, including geometric pattern formation in robotics Robust regulation of biological processes via PID and PI control strategies Advising & Grants: While no specific advisees or grants are listed, his postdoctoral and research internship experiences underscore his active role in mentoring and collaborative projects. His editorial roles reflect his contributions to academic discourse in control systems and multi-agent dynamics. Labs/Teams: His research is embedded within the Department of Mathematics and Applications’ control systems group, though specific lab affiliations are not detailed.

Ron Weissمشاهده پروفایل

استاد

• Synthetic Biology
• Cancer Biology
• Computational Systems Biology
• +۴ مورد دیگر

Ron Weiss is a Professor of Biological Engineering at the Massachusetts Institute of Technology (MIT), with a joint appointment in the Department of Electrical Engineering and Computer Science (EECS). He leads the Weiss Laboratory, which focuses on synthetic biology, engineering programmable biological systems, and elucidating design principles for complex cellular phenotypes. Education: Dr. Weiss holds a PhD from MIT, where he pioneered synthetic biology research in the late 1990s. He later joined Princeton University before returning to MIT in a tenured role. Research Interests: The lab integrates engineering principles with biology to design synthetic gene networks, including analog/digital logic circuits, cell-cell communication systems, and programmable cell behaviors. Key areas include cancer biology, tissue engineering, and RNA-based therapies. Recent work includes programmable microRNA sensors and synthetic neuromorphic computing in cells. Articles Trends: His research spans programmable gene circuits, RNA engineering, and interdisciplinary applications like biohybrid robotics. Recent publications highlight advancements in cell-state transition control, LNP-RNA therapies, and synthetic genetic circuits for reprogramming cells. Advising & Grants: Dr. Weiss has advised over 20 graduate students and postdocs, many of whom have gone on to leadership roles in academia and industry. His lab collaborates with the Engineering Biology Research Consortium (EBRC) and has secured funding for projects like Space Health Roadmap and synthetic biology therapies. Labs/Teams: The Weiss Lab is part of MIT’s Synthetic Biology Center and collaborates across disciplines, including robotics and nanotechnology.

Romain Levayerمشاهده پروفایل

استاد

• Developmental Biology
• Cell Death
• Epithelial Homeostasis
• +۷ مورد دیگر

Romain Levayer is a leading researcher and Professor at the Institut Pasteur, where he serves as the Director of the Department of Developmental & Stem Cell Biology. He heads the Laboratory of Cell Death and Epithelial Homeostasis and is involved in the Laboratory Physics of Biological Function. His research integrates biophysics and developmental biology to understand how epithelial tissues maintain integrity through regulated cell elimination, mechanical forces, and cell competition. His research interests include: Developmental and epithelial morphogenesis Apoptosis and cell death mechanisms Cell competition and mechanical regulation of survival Tissue homeostasis and robustness Biophysical modeling of cell behavior Levayer's recent publications highlight a strong focus on the mechanical and signaling regulation of epithelial cell elimination, with recurring themes in ERK signaling, caspase activity, and tissue-scale feedback mechanisms. His work frequently employs advanced live imaging and genetic models in Drosophila and mammalian systems. Scientific honors include: ERC Consolidator Grant (2023) Pasteur Vallery-Radot Prize (2023) FSER Laureate (2019) He leads the ERC-funded project "PrApEDoC: Predicting Apoptosis Engagement Downstream of Caspases", which aims to develop predictive models of cell death in epithelia. He supervises research students and postdoctoral fellows, fostering an interdisciplinary environment at the interface of biology and physics. His work contributes significantly to understanding tissue dynamics in health and disease, with implications for cancer and regenerative medicine. Levayer is actively involved in departmental leadership, organizing retreats and scientific events, and promoting sustainable research practices within the DSCB.

Pulin Liمشاهده پروفایل

استاد

• Tissue Engineering
• Synthetic Biology
• Developmental Biology
• +۵ مورد دیگر

Pulin Li is the Eugene Bell Career Development Professor of Tissue Engineering at the Massachusetts Institute of Technology (MIT) and a Core Member at the Whitehead Institute for Biomedical Research. His research focuses on understanding how genetic circuits drive multicellular behavior in natural and engineered systems, leveraging synthetic biology, mathematical modeling, and experimental approaches like mouse genetics and stem cell engineering. He earned a PhD in Chemical Biology from Harvard University (2012) and a BS in Life Sciences from Peking University (2006). Key research themes include the spatial patterning of tissues, particularly in the embryonic and adult lung, and the functional roles of morphogen gradients. His lab employs bottom-up strategies to reconstitute multicellular systems, combining synthetic biology with quantitative imaging and machine learning. Notable achievements include uncovering design principles of Hedgehog signaling gradients and developing novel methods for studying single-cell signaling histories. Awards: Teaching Prize for Undergraduate Education, MIT School of Science (2023) Allen Distinguished Investigator (2021) NIH New Innovator Award (2021) R.R. Bensley Award in Cell Biology (2021) His work bridges foundational discoveries and translational applications in tissue engineering, with a focus on creating scalable strategies for biomedical innovation. The Li Lab collaborates broadly, integrating computational and experimental methods to address complex biological systems.

• Multicellular system robustness
• Bacterial biofilms
• Bacterial swarming behavior
• +۵ مورد دیگر

Joao Xavier is a Professor at the Weill Cornell Medicine Graduate School of Medical Sciences, affiliated with the Department of Physiology, Biophysics & Systems Biology. His research bridges evolutionary theory and mechanistic biology to study multicellular systems. Key Research Areas: Bacterial Biofilms and antibiotic resistance Swarming motility in bacterial communities Cancer evolution and tumor microenvironment interactions Multi-scale computational modeling His work focuses on uncovering universal principles of biological robustness through integrative approaches combining experiments and computational models. Current projects explore cooperation dynamics in microbial communities and evolutionary mechanisms in cancer progression.

David Brücknerمشاهده پروفایل

استادیار

• Theoretical Biophysics
• Physics of Living Systems
• Multicellular Systems
• +۶ مورد دیگر

David Brückner is an Assistant Professor of Theoretical Biophysics at the Biozentrum of the University of Basel, Switzerland, where he leads a research group investigating the physics of living systems. Appointed in April 2025, he develops theoretical frameworks to understand how cellular interactions govern multicellular organization during development. His work bridges statistical physics, soft matter theory, and developmental biology to address fundamental questions about information processing in biological systems. Brückner's research focuses on stochastic dynamics in developmental systems , exploring how cells make reliable decisions despite biological noise. He investigates Mechanical and biochemical information transmission in tissues Cellular memory mechanisms in confined migration General physical principles across developmental systems Self-organization in multicellular structures His approach combines biophysical modeling with information theory and machine learning to connect theoretical predictions with experimental data. His recent publications reveal groundbreaking insights into cellular memory during migration, hyperdisordered biological packing, and information flow in developmental systems. Notable work published in Nature Physics (2025) demonstrates how the actin cortex serves as a mechanical memory enabling efficient navigation through confined spaces – crucial for understanding wound healing and cancer metastasis. Brückner's scientific achievements have been recognized through prestigious awards including an ERC Starting Grant (2025), the Gustav Hertz Prize (2022), and an EMBO Long-Term Fellowship (2022). His research is supported by international collaborations with experimental laboratories worldwide. As a newly established group leader, Brückner actively recruits PhD students and postdoctoral researchers for his ERC-funded "InfoFate" project, which investigates how cells integrate dynamical, neighborhood, and mechanical signals to make fate decisions. His laboratory employs interdisciplinary approaches combining theoretical physics with cutting-edge biological data.

• Mathematical Biology
• Computational and Applied Mathematics
• Partial Differential Equations
• +۴ مورد دیگر

Alexandria Volkening is an Assistant Professor of Mathematics at Purdue University, affiliated with the Weldon School of Biomedical Engineering (courtesy) and the PULSe Interdisciplinary Life Science Program. Her research focuses on mathematical biology, computational and applied mathematics, and partial differential equations. She holds a PhD and MS in Applied Mathematics from Brown University (2017, 2012) and a BS in Mathematics from the University of Maryland, Baltimore County (2011). Her work combines agent-based, continuum, and data-driven modeling to study complex systems, with a primary focus on zebrafish pattern formation and social dynamics. She employs topological data analysis (TDA) to quantify self-organization and links cellular behavior to visible patterns. Current projects include modeling U.S. elections using compartmental models and investigating plant biology through single-cell-derived meristems. Her research is funded by the NIH (R01GM157611) and the Simons Foundation. Recent talks include co-chairing the 2025 SIAM Conference on Applications of Dynamical Systems and presenting at the SMB Annual Meeting. She mentors graduate students and postdocs across interdisciplinary programs at Purdue.

David Karigمشاهده پروفایل

دانشیار

• Systems Biology
• Synthetic Biology
• Bioengineering
• +۳ مورد دیگر

David Karig is an Associate Professor at Clemson University in the Department of Electrical Engineering within the College of Engineering, Computing and Applied Sciences. He leads the Synthetic Biology and Microbiome Engineering Laboratory, conducting research across multiple biological scales. Research Interests: Subcellular: Cell-free synthetic biology, synthetic gene networks, biosensors, and fieldable protein production systems Multicellular: Cell population engineering through quorum sensing, pattern formation, and biofilm development Multi-species: Microbiome structure analysis and engineering applications including skin microbiome research His work combines synthetic biology tools with microbiome studies, focusing on both fundamental principles and applied engineering solutions. Current projects emphasize robust field applications and biomaterial fabrication.

Andrew Dickersonمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Biomechanics
• Water Entry Mechanics
• +۳ مورد دیگر

Andrew Dickerson is an Associate Professor in the Mechanical, Aerospace, and Biomedical Engineering Department at the University of Tennessee, Knoxville (since August 2024). Previously, he held positions as an Assistant Professor at the University of Tennessee (2021–2024) and the University of Central Florida (2016–2021). He earned his PhD, MS, and BS in Mechanical Engineering from Georgia Institute of Technology (2014, 2012, 2009). His research focuses on fluid dynamics, biomechanics, and the mechanics of interfaces, with applications in animal locomotion and engineering systems. He holds an NSF CAREER Award (2019) and a Faculty Fellowship to Israel (2019/2020). Key research interests include drop impact dynamics, water entry mechanics, and the interaction of fluids with biological and engineered surfaces. He investigates phenomena such as pendant drop motion, fur anti-fouling mechanisms, and the survival strategies of water striders during raindrop impacts. His work has been featured in high-impact journals like Proceedings of the National Academy of Sciences and Physics of Fluids , and he has contributed to media discussions on science and engineering through appearances on networks like Good Morning America and the Discovery Channel. Dr. Dickerson leads research on fluid-structure interactions, including studies on jet formation, cavity dynamics, and the biomechanics of mosquito takeoff. He collaborates on projects involving 3D-printing biomaterials and the design of vertical wind tunnels for hydrometeor physics. His grants include NSF-funded research on tuning liquid jet dynamics through deformable boundaries. His lab explores topics such as microjet tuning via surface patterns, the physics of bubble bursting in droplets, and the role of mechanical compression in archaeal cell development. He advises graduate students in fluid dynamics and has published extensively on topics ranging from fur flutter to the survival mechanics of aquatic organisms.

Charles Ofriaمشاهده پروفایل

استاد

• Evolutionary Biology
• Artificial Life
• Digital Evolution
• +۱۱ مورد دیگر

Dr. Charles Ofria is a Professor of Computer Science & Engineering at Michigan State University and Core Faculty in the Ecology, Evolution, and Behavior program. He serves as Director of both the MSU Digital Evolution Laboratory (Devolab) and the BEACON Center for the Study of Evolution in Action. Previously, he served as President of the International Society for Artificial Life. Dr. Ofria's research focuses on the intersection of computer science and evolutionary biology, exploring how evolution produces complex traits, behaviors, and intelligent processes. His work spans multiple domains including the evolutionary origins of biological complexity, early evolution of intelligent behaviors, major evolutionary transitions from single cells to multicellular organisms, and the evolution of coordination and cooperative behaviors. His research leverages digital organisms to simultaneously learn about life as it is on Earth while exploring 'life as it could be'. He is the architect of the Avida Digital Evolution Research Platform, used in research and education at hundreds of universities worldwide. His laboratory develops several significant software projects including the Empirical Scientific Software Library, the Modular Agent-Based Evolver (MABE) v2.0, Emperfect, and the Question-Bank Language (QBL). Dr. Ofria received his bachelor's degree in 1994 from SUNY Stony Brook with a triple major in Pure Math, Applied Math, and Computer Science. In 1999, he earned his Ph.D. in Computation and Neural Systems from the California Institute of Technology, followed by a three-year postdoc at MSU's Center for Microbial Ecology. He has been a professor at MSU since 2002. His work on open-ended evolutionary computation and evolutionary dynamics has significant implications for both understanding natural evolutionary processes and developing more robust computational systems, particularly as Moore's Law slows and distributed computing becomes increasingly important.

Yagmur Ertenمشاهده پروفایل

استادیار

• Theoretical Evolutionary Biology
• Cancer Evolution
• Life-History Theory
• +۳ مورد دیگر

Yagmur Erten serves as a tenure-track Assistant Professor in the Faculty of Science and Engineering at the University of Groningen since 2024. Her research integrates mathematical and computational approaches to address fundamental questions in evolutionary biology, with particular focus on cancer evolution across the tree of life and life-history theory. Her educational background includes a BSc in Molecular Biology and Genetics from Istanbul Technical University, an Erasmus Mundus Master's in Evolutionary Biology (MEME), and a PhD in Evolutionary Biology from the University of Zurich (2021) supervised by Hanna Kokko. This was followed by an SNSF fellowship at the University of Jyväskylä with Lutz Fromhage. Research interests center on theoretical evolutionary biology , specifically examining how cancer risk shapes evolutionary trajectories including body size constraints, sexual conflict dynamics, and transmissible cancer evolution. Her work employs advanced mathematical modeling to explore somatic mutation dynamics, evolutionary lags, and cancer defense mechanisms across species. Key themes include the interplay between life-history strategies and oncogenesis, with applications to understanding cancer robustness in avian lineages and broader implications for evolutionary medicine. Analysis of her publication record reveals consistent focus on evolutionary constraints (particularly body size evolution), cancer defense mechanisms across phylogenies, and mathematical modeling of life-history trade-offs . Recent work increasingly incorporates comparative oncology perspectives while maintaining strong theoretical foundations in population genetics. Scientific recognition includes: SNSF Fellowship for postdoctoral research Secretary and Board Member of the Evolutionary Demography Society Member of the Scientific Committee for Mathematical Models in Ecology and Evolution conference Her contributions extend to interdisciplinary collaborations examining cancer evolution across taxonomic groups, with particular emphasis on theoretical frameworks connecting microevolutionary processes to macroevolutionary patterns. Current work through the Erten Group develops novel models of somatic evolution under cancer risk, bridging theoretical biology with practical oncological insights.

Thomas Hiscockمشاهده پروفایل

مدرس ارشد

• Developmental Biology
• Mathematical Modeling
• Systems Biology
• +۵ مورد دیگر

Dr. Thomas Hiscock is a Senior Lecturer in Systems Biology at the Institute of Medical Sciences, University of Aberdeen, within the School of Medicine, Medical Sciences and Nutrition. He leads an active research group focused on understanding developmental processes through mathematical modeling and computational approaches. His work bridges theoretical physics and developmental biology to unravel how embryos self-organize into complex adult forms. University of Cambridge: B.A., M.Sci in Theoretical Physics Harvard Medical School: Ph.D. in Developmental Biology University of Cambridge: Postdoctoral research with John Marioni and Ben Simons Dr. Hiscock's research centers on self-organization in embryonic development, particularly how spatial patterns emerge through reaction-diffusion mechanisms and other self-organizing processes. His lab develops mathematical models (often partial differential equations) to understand pattern formation in developing embryos. The group takes a theory-led approach where mathematical frameworks not only validate biological observations but also generate new hypotheses for experimental testing. Current projects investigate stripe orientation mechanisms, generic properties of Turing-like patterns, limb development, and non-periodic pattern formation, supported by an ERC Starting Grant. His publication record shows a strong trajectory in developmental biology and mathematical modeling, with significant contributions to understanding Turing mechanisms in vivo, particularly in limb development. Key findings include identifying bona fide Turing mechanisms operating in developing limbs and discovering how dynamic morphogen gradients orient cartilage rings in airways. His work demonstrates how theoretical approaches can bridge molecular mechanisms with emergent tissue-level patterns. ERC Starting Grant for research on novel self-organizing mechanisms Dr. Hiscock actively mentors PhD students and postdocs, currently supervising Daniel Muzatko and Paula San Martin Blanco (PhD students) and Bijoy Daga (postdoc). His group collaborates extensively with experimental labs including those of Cliff Tabin at Harvard and Ben Steventon at Cambridge. He welcomes new students interested in applying computational methods to developmental biology problems and supports applications for independent fellowships. The lab culture emphasizes systematic exploration and celebrates the process of discovery, using metal detecting as a metaphor for scientific research. The Hiscock Lab is embedded within Aberdeen's strong developmental biology community, benefiting from proximity to Scotland's natural landscapes which inspire their work on biological pattern formation.