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Mark BurnleyView profile

Senior Lecturer

• Exercise Physiology
• Endurance Exercise
• Sports Science
• +6 more

Mark Burnley is a Senior Lecturer in Exercise Physiology at Loughborough University, having previously held roles at the University of Kent and the University of Wolverhampton. He specializes in endurance exercise physiology, focusing on oxygen uptake kinetics, critical power, and metabolic steady states. Burnley earned his BSc in Sport Science and PhD in Exercise Physiology from the University of Brighton and holds a Postgraduate Certificate in Academic Practice. His research explores physiological thresholds in endurance performance, including VO₂ kinetics, lactate dynamics, and fatigue mechanisms. He is a member of the American College of Sports Medicine and the Physiological Society, and serves as a section editor for the European Journal of Sports Science. Key research contributions include refining methodologies for determining exercise intensity domains and challenging conventional interpretations of critical power. His work emphasizes the interplay between metabolic and neuromuscular factors in endurance performance. Burnley’s publications span topics like priming exercise effects, nitrate supplementation, and polarized training debates. Though no formal awards are listed, his extensive peer-reviewed output underscores his scholarly impact.

Alan RooneyView profile

Assistant Professor

• Geochemistry
• Geochronology
• Climate Science
• +3 more

Alan Rooney is an Assistant Professor in the Department of Earth & Planetary Sciences at Yale University, affiliated with the Yale School of Arts and Sciences. He leads the Rooney Geochronology and Geochemistry Group, which is part of the Yale Metal Geochemistry Center. His research integrates radiogenic isotope geochemistry (e.g., Re-Os, Sr, Nd) with field-based methods like sedimentology and stratigraphy to investigate tectonic, climatic, and biologic transitions in Earth history. Current projects include refining Neoproterozoic chronology, studying Mid-Pleistocene ice sheet dynamics, and advancing EARTHTIME’s Re-Os geochronometer standards. His research interests are centered on three main areas: 1) Proterozoic tectonics and eukaryotic diversification, 2) ice sheet dynamics over the last 5 million years using multiple geochemical proxies, and 3) radiogenic isotopes as tracers of crustal-mantle processes. He collaborates with researchers at Dartmouth College, Oxford University, and other institutions to address these topics. The Rooney Lab emphasizes experimental approaches, such as simulating seafloor weathering of mafic rocks, to better understand isotopic fluxes into the sedimentary record. His articles highlight a focus on geochronology and isotopic analysis to unravel climate-tectonic interactions, with recent work emphasizing the Great Oxidation Event, Ediacaran biogeochemical shifts, and Mid-Pleistocene glacial variability. These studies often combine field observations with laboratory experiments to deconvolve complex Earth system processes. Dr. Rooney has no listed scientific awards. He advises three graduate students: Gryphen Goss, Sam Shipman, and Carey Ciaburri. The lab’s NSF-funded involvement in EARTHTIME underscores its commitment to advancing geochronological standards. The Rooney Geochronology Lab operates within ultra-clean facilities equipped with advanced mass spectrometers (e.g., Thermo Fisher Neptune-Plus MC-ICP-MS, Triton-Plus TIMS), adjacent to the Microprobe Facility’s electron microprobe resources, enabling precise geochemical and petrological analyses.

Miroslava KavgicView profile

Associate Professor

• Sustainable Building Engineering
• Carbon Capture Materials
• HVAC Systems Optimization
• +6 more

Miroslava Kavgic is an Associate Professor in the Department of Civil Engineering at the University of Ottawa. She holds a Ph.D. (United Kingdom), M.Sc. (United Kingdom), and B.Sc. (Serbia), and is a Professional Engineer (P.Eng.). Her research focuses on sustainable building engineering, carbon-negative materials, and energy-efficient design for remote communities. She leads the Centre for Indigenous Community Infrastructure at uOttawa, emphasizing culturally appropriate solutions. Education: Ph.D. in Environmental Design and Engineering (University College London, 2013) M.Sc. in Environmental Design and Engineering (University College London, 2006) B.Sc. in Mechanical Engineering (Serbia) Research Interests: Carbon capture building materials (e.g., hempcrete composites) Bioclimatic design strategies for net-zero buildings Urban energy modeling to decarbonize cities Renewable energy systems integration Advanced HVAC controls and energy efficiency Her recent publications (2021–2025) emphasize: Phase change material applications in building envelopes Machine learning for energy demand prediction Optimization algorithms like MEVO for building performance Hybrid renewable energy systems Labs/Teams: Active in the Centre for Indigenous Community Infrastructure, focusing on Northern communities' sustainable infrastructure. Collaborates with industry on building design innovations.

Howard RundleView profile

Professor

• Evolutionary ecology
• Evolutionary genetics
• Sexual selection
• +7 more

Howard Rundle is a Full Professor in the Department of Biology within the Faculty of Science at the University of Ottawa. His research laboratory focuses on empirical studies in evolutionary ecology and evolutionary genetics, utilizing both laboratory and field approaches with model systems including various Drosophila species and the antler fly ( Protopiophila litigata ). His work is conducted both in controlled laboratory settings and in natural environments, particularly in Algonquin Park's Wildlife Research Station. Dr. Rundle's primary research interests span evolutionary ecology and evolutionary genetics, with particular emphasis on: The role of sexual selection in adaptation and purging of deleterious mutations Sexual conflict and its ecological context The evolutionary divergence of mate preferences and its contribution to speciation Quantitative genetics of sexual displays, particularly cuticular hydrocarbons in insects The impact of ecological complexity on evolutionary processes His recent publications reveal a consistent focus on how mating environments influence the dynamics of sexual conflict, adaptation, and speciation. Much of his work examines whether sexual selection helps or hinders adaptation, with growing emphasis on genomic approaches to understand the genetic basis of evolutionary responses. His research program demonstrates how ecological context fundamentally shapes evolutionary outcomes, particularly in the interface between natural and sexual selection. Dr. Rundle collaborates extensively with researchers at other institutions including Aneil Agrawal (University of Toronto), Russell Bonduriansky (University of New South Wales), Vincent Careau (University of Ottawa), Kelly Dyer (University of Georgia), Amanda Moehring (Western University), and Locke Rowe (University of Toronto). These collaborations enhance the scope of his research across multiple dimensions of evolutionary biology. The Rundle Lab maintains a strong commitment to equity, diversity, and inclusion, explicitly welcoming and supporting members from all racial, religious, and cultural backgrounds, as well as those from the LGBTQ+ community, operating under the University of Ottawa's principles in these areas.

Ellen RothenbergView profile

Professor

• Cellular and Developmental Biology
• Molecular Biology
• Immunology
• +3 more

Ellen Rothenberg is the Edward B. Lewis Professor of Biology at the California Institute of Technology (Caltech). She earned her A.B. in Biochemical Sciences from Harvard University (1972) and a Ph.D. in Molecular Biology from MIT (1977). Her academic career at Caltech spans roles from Assistant Professor (1982–88) to her current position. She holds the Ruddock Professorship (2007–21), Distinguished Professor (2021–), and Lewis Professor (2021–). Her research focuses on transcriptional networks governing T-cell development and signaling, particularly how hematopoietic stem cells commit to T-lymphocyte lineages. Using in vitro systems, molecular genetics, and genomic approaches, her lab explores transcription factor interactions, chromatin dynamics, and signaling pathways that drive T-cell identity. Key interests include understanding stem-cell multipotentiality loss, irreversible commitment mechanisms, and links to autoimmune predisposition. Rothenberg is an Andrew D. White Professor-at-Large at Cornell University (2021–2027), collaborating with immunology and molecular biology departments. She has organized international conferences, served on NIH review panels, and advises biotech firms like Century Therapeutics. Her honors include membership in the National Academy of Sciences, AAAS and American Academy of Arts and Sciences fellowships, and the Feynman Teaching Prize (2016). Education: A.B., Harvard University, Biochemical Sciences, 1972 Ph.D., Massachusetts Institute of Technology, Molecular Biology, 1977 Awards: AAAS Fellow, American Academy of Arts and Sciences Fellow Member, National Academy of Sciences American Association of Immunologists Distinguished Fellow Richard P. Feynman Prize for Excellence in Teaching (2016) External Roles: Cornell’s ADW-PAL (2021–2027), collaborating with faculty hosts Brian Rudd and Andrew Grimson Scientific Advisor, Century Therapeutics, A2 Biotherapeutics, Kite Pharma Her work bridges basic research and clinical applications, including immunogenomics symposia and public lectures on T-cell programming. Ongoing projects explore evolutionary origins of lymphocyte development through comparative analysis of basal vertebrates.

Bernard KochView profile

Assistant Professor

• Science of science
• Culture
• Cultural evolution
• +2 more

Bernard Koch is an Assistant Professor in the Department of Sociology at the University of Chicago. His research focuses on the science of science, culture, cultural evolution, AI ethics, and computational social science. Prior to joining the University of Chicago, he was a Postdoctoral Research Fellow at Northwestern University’s Kellogg School of Management. He earned his Ph.D. in Sociology from UCLA in 2023. His work bridges sociology and computational methods, exploring topics such as machine learning applications in social research, ethical implications of AI, and cultural dynamics. Recent projects include analyzing the role of large language models (LLMs) in social simulations and confronting the misuse of genetics in online contexts. Koch’s articles span themes like data-centric machine learning (DMLR), the historical development of deep learning, and the lifecycle of datasets in research. He also investigates cultural evolution through case studies like music subcultures and material culture diversification. He holds no listed awards but has contributed to interdisciplinary collaborations, including genomics research on the Mnemiopsis leidyi organism. While no formal advisees are listed, his research group likely engages in computational social science projects.

James O Lloyd-SmithView profile

Professor

• Epidemiology
• Zoonotic Diseases
• Viral Transmission Dynamics
• +4 more

James O Lloyd-Smith is a Professor in the departments of Ecology and Evolutionary Biology and Computational Medicine at the University of California, Los Angeles (UCLA). His research focuses on understanding the ecological and evolutionary drivers of infectious diseases, with a particular emphasis on zoonotic pathogens and viral transmission dynamics. Key areas of investigation include the spillover of pathogens from wildlife to humans, environmental stability of viruses, and the application of mathematical models to inform public health strategies. His work spans disciplines such as epidemiology, computational biology, and wildlife health, with notable contributions to studies of influenza, leptospirosis, and monkeypox. He has pioneered methods to predict pathogen spread using mechanistic models and has explored the impact of climate, human behavior, and environmental factors on disease emergence. Notable projects include analyzing the stability of SARS-CoV-2 in different environments, investigating the role of childhood immune imprinting in influenza susceptibility, and developing frameworks to assess risks of viral spillover from bats. His research integrates field data with computational approaches to address global health challenges.

Andrew M. OlneyView profile

Professor

• Natural Language Processing
• Intelligent Tutoring Systems
• Dialogue Systems
• +5 more

Andrew M. Olney is Professor in both the Institute for Intelligent Systems and Department of Psychology at the University of Memphis. His work bridges artificial intelligence, cognitive science, and education, with a primary focus on natural language interfaces for learning. His educational background includes a Ph.D. in Computer Science from the University of Memphis (2006), an M.S. in Evolutionary and Adaptive Systems from the University of Sussex (2001), and a B.A. in Linguistics with Cognitive Science from University College London (1998). Dr. Olney's research centers on intelligent tutoring systems and natural language processing applications in education. His specific interests include vector space models, dialogue systems, unsupervised grammar induction, and computational representations of meaning. He has made significant contributions to conversational intelligent tutoring systems and task-oriented natural language interfaces, with particular emphasis on dyadic interaction and engagement in learning contexts. Analysis of his recent publications reveals a consistent focus on leveraging AI for educational enhancement, particularly through automated content creation, question generation, and adaptive learning systems. His work spans multiple disciplines including computer science, cognitive science, linguistics, and education, demonstrating strong interdisciplinary integration. Scientific Awards and Recognition: Best Paper Award, Proceedings of Empowering Education with LLMs (2023) Associate Editor, International Journal of Artificial Intelligence in Education (Impact Factor 4.9) Dr. Olney has been actively involved in mentoring graduate students and securing research funding. He has served as Principal Investigator on $6M of federal grants within a total of $18M in federal grant funding. His service includes former editorship of the Journal of Educational Data Mining (2017-2022) and former leadership roles as Director/Associate Director of the Institute for Intelligent Systems (2006-2017). He currently coordinates both the Cognitive Science Graduate Certificate and Undergraduate Minor in Cognitive Science at the University of Memphis. His BrainTrust project, funded by the NSF, addresses the knowledge engineering bottleneck for intelligent tutoring systems through innovative approaches to virtual student simulation and knowledge representation.

• Computational Neuroscience
• Spacetime Connectomics
• Neurotwin Models
• +5 more

Jakub Vohryzek is a postdoctoral researcher at the Computational Neuroscience (CNS) Group at University Pompeu Fabra in Barcelona, supervised by Prof. Gustavo Deco. His work focuses on spacetime connectomics and whole-brain modeling, particularly in neurodegenerative disorders and psychedelic neuroscience. He holds a DPhil from the University of Oxford, where he studied under Prof. Morten Kringelbach. Research Interests: Spacetime connectomics Psychedelic-induced brain state transitions Neurotwin models for personalized medicine Cognitive and clinical applications of whole-brain dynamics Current projects include developing neurotwin models under a European grant for neurodegenerative treatments, investigating brain state dynamics in mindfulness therapy, and modeling psychedelic effects on Alzheimer’s disease. His recent work emphasizes low-dimensional brain network interactions and functional hierarchy perturbations. His research has explored connectivity profiles, oscillatory restoration in dementia, and algorithmic agent approaches to neuropsychiatric disorders. He collaborates on open-science initiatives like Brainhack and advocates for inclusive conference design.

Alexander J. StewartView profile

Associate Professor

• Mathematical Biology
• Computational Social Science
• Cultural Evolution
• +7 more

Alexander J. Stewart is an Associate Professor of Informatics at Indiana University Bloomington and an Honorary Professor of Mathematics at the University of St Andrews. He holds a PhD in Mathematical Biology from University College London (2010), and earlier degrees in Physics (Imperial College London) and Mathematical Biology (University College London). His research focuses on mathematical and computational models of social learning in online ecosystems, addressing topics such as misinformation, polarization, and cooperative behavior through lenses of game theory and evolutionary dynamics. Key themes include cultural evolution's interaction with algorithms, social network structures' impact on collective decisions, and cognitive mechanisms shaping social interactions. His work has been published in high-impact journals like Nature , PNAS , and Science Advances , addressing topics ranging from information gerrymandering to the evolution of stereotyping. He leads projects funded by the John Templeton Foundation, exploring cultural evolution and online social contracts. Advising over 7 graduate students and postdocs, he has mentored researchers now in academic and industry roles globally. His teaching includes advanced courses on game theory and social media dynamics. Media contributions include analyses on polarization's societal impacts and the dangers of algorithmic misinformation. Current research initiatives include modeling behavioral motivations for cooperation and investigating eco-evolutionary trade-offs in pathogen competition. His labs focus on interdisciplinary approaches to understanding complex social and biological systems.

Gunnar von HeijneView profile

Professor

• Molecular Biology
• Cell Biology
• Bioinformatics
• +5 more

Gunnar von Heijne serves as Professor of Theoretical Chemistry at Stockholm University, a position he has held since 1994, and as Director of the Center for Biomembrane Research since 2006. Previously, he directed the Stockholm Bioinformatics Center from 2000-2006. His academic career includes appointments at Karolinska Institute as Associate Professor (1989-1994), University of Munich as Full Professor of Computer Science (1999-2002), and ETH Zurich as Professor of Computer Science (2003). Dr. von Heijne earned his Ph.D. in Theoretical Physics from the Royal Institute of Technology, Stockholm in 1980. His research focuses on protein sorting and membrane protein biogenesis, with groundbreaking contributions including the discovery of the "(-1,-3)-rule" for signal peptide cleavage sites and the "positive inside" rule for membrane protein topology. He has developed essential bioinformatics tools such as SignalP, TargetP, and TMHMM that are widely used in the field. His work spans both computational methods development and experimental validation across E. coli and eukaryotic systems, with recent emphasis on dual-topology membrane proteins and their evolutionary significance. His research has established fundamental principles in membrane protein biology and provided essential tools for the global research community. Dr. von Heijne's publications have received approximately 75,000 citations with an h-index of 102, reflecting his significant impact on molecular biology, bioinformatics, and membrane protein research. The T. Svedberg Award, The Swedish Biochemical Society (1990) The Göran Gustafsson Prize, The Swedish Academy of Sciences (1995) The Arrhenius Medal, The Swedish Chemical Society (1997) Elected member of the Royal Swedish Academy of Sciences (1997) Elected member of the Academia Europaea (1998) "Excellence" Award, the Swedish Research Council (2002) Honorary Doctorate, Åbo Akademi (2008) The van Deenen Medal, Utrecht University (2009) The Accomplishment by a Senior Scientist Award of the International Society for Computational Biology (2012) Dr. von Heijne has supervised 16 Ph.D. students since 1991 and has served extensively on academic committees, including as faculty examiner for doctoral defenses at multiple international institutions. He has chaired the Nobel Committee for Chemistry since 2007 and has participated on editorial boards of leading journals including Journal of Molecular Biology and EMBO Journal. As Director of the Center for Biomembrane Research, he leads an interdisciplinary team investigating membrane protein structure, function, and biogenesis through integrated experimental and computational approaches, advancing our understanding of fundamental cellular processes.

• Vehicle Routing Problems
• Scheduling Algorithms
• Genetic Algorithms
• +3 more

Rémy DUPAS is an Associate Professor with HDR (Habilitation à Diriger des Recherches) specializing in operations research, scheduling algorithms, and vehicle routing optimization. His work focuses on dynamic systems, genetic algorithms, and real-time logistics solutions. He has contributed extensively to the field through publications in journals like European Journal of Operational Research and International Journal of Innovative Computing and Applications . His research interests include vehicle routing problems (VRP), cyclic scheduling in manufacturing systems, and metaheuristics for dynamic optimization. He has developed innovative approaches using genetic algorithms and neural networks to address real-world logistics challenges, such as time-dependent travel times and flexible time windows. He has advised four PhD students, including Xin ZHAO (2004–2008), Haiyan HOUSROUM (2002–2005), and Guillaume CAVORY (1997–2000), focusing on topics like dynamic vehicle routing and evolutionary algorithms. His HDR thesis, Amélioration de performance des systèmes de production : apport des algorithmes évolutionnistes aux problèmes d’ordonnancement cycliques et flexibles , underscores his expertise in optimizing industrial systems. Key contributions include book chapters on metaheuristics for vehicle routing in dynamic contexts and conferences on topics like the traveling repairman problem and simulation platforms for dynamic vehicle tours.

Tjisse van der HeideView profile

Professor

• Coastal Ecology
• Ecosystem Engineering
• Seagrass Restoration
• +3 more

Tjisse van der Heide is a Professor of Coastal Ecology at the Groningen Institute for Evolutionary Life Sciences (GELIFES) at the University of Groningen and a researcher for the Royal Netherlands Institute for Marine Research (NIOZ). He also serves as Vice Chair of the Dutch OBN Knowledge Network for Nature Restoration and Management's team of experts on dune and coastal landscapes. Van der Heide's research focuses on coastal ecosystems and the role of ecosystem engineers—organisms that create suitable living circumstances for themselves and other species through environmental modification. His work examines how ecosystems function and how dissipated ecosystems can be restored, combining field and lab experiments with computer models. In 2024, he received a prestigious Vici-grant for his research on restoration of coastal ecosystems by temporarily mimicking habitat-forming species, developing a framework that integrates ecology, industrial design, and engineering principles. Analyzing his recent publication record reveals strong emphasis on ecosystem engineering processes, habitat restoration techniques, and climate change impacts on coastal systems. His research spans seagrass beds, mussel and oyster reefs, salt marshes, and dune ecosystems, with particular focus on how biotic interactions shape coastal landscapes and influence restoration success. His interdisciplinary approach frequently bridges theoretical ecology with practical conservation applications. Van der Heide has received significant recognition including the Vici-grant (2024) and the Heineken Young Scientist Award. His research has direct policy implications, as evidenced by his media commentary on coastal development projects like power cables through the Wadden Sea. His work involves extensive collaboration with researchers across multiple institutions, focusing on both fundamental ecological processes and applied restoration techniques. Van der Heide's research group conducts field studies throughout the Wadden Sea region and other coastal areas, contributing to our understanding of ecosystem dynamics and developing practical solutions for coastal conservation challenges.

James TyboutView profile

Professor

• International Economics
• Development Economics
• Applied Micro Economics
• +3 more

James Tybout is a Professor of Economics at the Department of Economics, Pennsylvania State University. He holds a Ph.D. from the University of Wisconsin-Madison (1980). His research focuses on international trade dynamics, development economics, and industrial organization, with a particular emphasis on firm-level analysis in developing economies. Key themes include export behavior, trade policy impacts, and structural transformation in industries such as textiles, manufacturing, and retail sectors. His work explores topics like export market entry costs, learning effects in international trade, and the effects of multinational corporations such as Walmart on local suppliers. Notable studies include analyses of Colombian exporters, Mexican soap and detergent producers, and Bangladeshi apparel firms. His research also addresses credit constraints, fuel substitution in manufacturing, and the consistency of customs records across countries. Publications span over three decades, reflecting a sustained engagement with global trade patterns and firm-level responses to policy and market changes. Despite his prolific output, no specific awards or grants are listed in the provided text. His advisory roles and lab affiliations remain unspecified.

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +6 more

Talal Shaikh is an Associate Professor at Heriot-Watt University's School of Mathematical and Computer Sciences in Dubai. He serves as Director of Undergraduate Studies and Programme Director for BSc Computer Science, BSc CS (AI), and MSc Software Engineering. With a decade of industry experience as a Chief Information Officer and Software Engineer, he bridges practical insights with academic research. Research Interests: Pervasive Computing, IoT/M2M, AI/ML, WiFi Sensing for Healthcare, Financial Machine Learning, Educational Technology Awards: Teaching Excellence Awards (2017/18), Fellow of the Higher Education Academy (FHEA), multiple Learning and Teaching Oscars (2016, 2017, 2018) His work spans Ubiquitous Computing and IoT , focusing on sensor networks and WiFi-based sensing for healthcare. In Artificial Intelligence , he applies ML to robotics, financial analytics, and educational innovation. Recent articles analyze Reinforcement Learning , Emotion Recognition , and WiFi Sensing applications. His teaching emphasizes student-centric learning, with over 100 supervised dissertations achieving distinctions. Collaborations include international conferences and interdisciplinary research in smart environments and adaptive systems.