Dr. Rachel Penczykowski is an Assistant Professor of Biology at Washington University studying disease ecology in changing environments. Her NSF CAREER Award supports research on urban plant pathogens, particularly powdery mildew epidemics in urban heat islands. Combining field observations, lab experiments, and mathematical modeling, she examines how climate, biodiversity loss, and urbanization reshape host-parasite interactions. Her work spans diverse ecosystems—from aquatic Daphnia-parasite systems to terrestrial plant-pathogen networks—revealing how predators, resources, and microclimates indirectly modulate disease spread. Current projects investigate warming impacts on fungal virulence and host resistance evolution in St. Louis-area plant populations. Dr. Penczykowski leads outreach through the PlantSTEM program, engaging K-12 students in pathogen research. She mentors high schoolers via Tyson Research Center apprenticeships and teaches Disease Ecology, integrating modeling with empirical approaches. Her lab collaborates with the Taylor Geospatial Institute to map urban microclimate-disease linkages.
Professor Stephen Cave is the Academic Director of the Leverhulme Centre for the Future of Intelligence (CFI) and Co-Director of the Institute for Technology and Humanity at the University of Cambridge. With a PhD in Philosophy from Cambridge, he previously served as a policy advisor and diplomat in the British Foreign Office for nearly a decade before returning to academia. Education: PhD in Philosophy, University of Cambridge Current Roles: Academic Director (CFI), Co-Director (Institute for Technology and Humanity) Media Engagement: Regular contributor to Financial Times , Guardian , New York Times , and media appearances on BBC and NPR His research bridges philosophy and ethics of technology , with two primary strands: (1) the ethics of AI and robotics , focusing on responsible AI development and societal impact through works like AI Narratives and Feminist AI ; and (2) the ethics of life-extension and immortality , explored in Immortality and Should You Choose to Live Forever? . Recent publications analyze algorithmic fairness, gender representation in AI narratives, and digital death. The articles listed reflect his engagement with responsible AI frameworks , cultural portrayals of AI , and existential implications of life extension . His work often synthesizes historical, ethical, and cultural perspectives to address contemporary challenges in AI governance and mortality philosophy.
Professor Janet McColl-Kennedy is a leading figure in marketing and service science at The University of Queensland's Business School. She serves as Program Lead for Innovation Pathways (FaBA) and co-founded the Service Innovation Alliance (SIA) research hub, focusing on customer experience, AI, digital transformation, and sustainability. With Fellow status in the Academy of the Social Sciences in Australia and the Australian and New Zealand Marketing Academy, she holds international recognition including Research.com's World's Best Business Scientists ranking and the Christopher Lovelock Career Contributions to the Services Discipline Award (2025). University of Queensland Business School Honorary Visiting Professor, Cambridge Service Alliance Research Collaborator, University of Cambridge Her research spans customer experience management, service ecosystems, digital transformation, and healthcare services. She has pioneered frameworks for customer value co-creation and service recovery strategies, integrating AI and behavioral science. Her 2019 paper on customer experience insights was implemented by a major B2B organization, while her work on value co-creation improved outcomes at Lutheran Community Care. Recent publications focus on AI impacts in food and beverage services, sustainable service ecosystems, and digital health interventions. She has secured over $89 million in competitive grants, including multiple ARC Linkage and Discovery Projects, and leads cross-disciplinary teams with institutions like Cambridge University and Arizona State University. 2024 - ARC College of Experts appointment 2023 - Bo Edvardsson Industry Impact in Services Award 2022 - Elected Fellow of Academy of the Social Sciences in Australia 2021 - Clarivate Highly Cited Researcher 2018 - Ranked most influential marketing academic in Australia With over 220 publications and a Google Scholar H-index of 62, she has mentored 15 PhD students and examined theses at multiple universities. Her teaching spans 30+ years across undergraduate, postgraduate, and executive programs in Australia, USA, Italy, China, and Korea, with awards for blended learning and corporate education.
Peter Wilf is a Professor in the Department of Geosciences at Pennsylvania State University's College of Earth & Mineral Sciences. His research focuses on fossil plants as indicators of past climates, biodiversity, and environmental disturbances from the latest Cretaceous through middle Eocene (~67-45 million years ago). Wilf leads significant research projects including the Origins of Southeast Asian Rainforests from Paleobotany and Machine Learning and the Patagonia Paleofloras Project. His research interests span paleobotany, paleoclimatology, plant-insect interactions, and biogeography, with emphasis on how deep-time data illuminate modern ecosystems and their responses to anthropogenic change. Wilf's work primarily focuses on the latest Cretaceous through middle Eocene, examining global disturbances including warming and cooling events, the end-Cretaceous mass extinction, and recovery periods. His research has significant implications for understanding climate change, biodiversity conservation, and ecosystem dynamics. Wilf's extensive publication record demonstrates consistent high-impact research across paleobotany, with recent work focusing on Southeast Asian rainforests, Patagonian paleofloras, and the connections between Gondwanan landmasses. His research integrates fieldwork in Patagonia and Southeast Asia with advanced analytical techniques, including machine learning applications for fossil leaf identification. Fellow, American Association for the Advancement of Science (AAAS) 2022 Wilson Award for Excellence in Research, Penn State College of Earth & Mineral Sciences 2022 Fellow, Paleontological Society 2017 Fellow, Geological Society of America 2016 Paul F. Robertson Research Breakthrough of the Year Award, Penn State College of Earth & Mineral Sciences 2016 George W. Atherton Award for Excellence in Teaching, Pennsylvania State University 2013 Wilf maintains an active research program with numerous NSF-funded projects and international collaborations. He leads a productive lab group conducting extensive fieldwork in Patagonia, Argentina, and Southeast Asia. His research has transformed understanding of Southern Hemisphere floras, the role of Patagonia in plant evolution, and connections between ancient and modern ecosystems across continents. Wilf's laboratory serves as a hub for paleobotanical research, bringing together students, postdocs, and international collaborators to study fossil plant collections from around the world. The lab integrates traditional paleobotanical methods with cutting-edge technologies including machine learning for fossil identification and advanced imaging techniques for detailed morphological analysis.
Dr. John Warren Huntley is an Associate Professor in the Department of Geological Sciences at the University of Missouri. His research examines the fossil record of biotic interactions including parasitism, predation, and competition, with additional focus on conservation paleobiology and morphological disparity evolution. Dr. Huntley investigates host-parasite dynamics in marine bivalves, human impacts on mollusk populations, and Phanerozoic predation patterns. His work integrates stratigraphic paleobiology with ecological and evolutionary analyses to reconstruct historical ecosystem dynamics. His recent publications demonstrate expertise in paleoparasitology, taphonomy, and conservation paleobiology, applying novel analytical methods to questions about parasite-host coevolution, preservation biases, and extinction events. This research provides critical insights into long-term ecological patterns and biological responses to environmental change. Dr. Huntley has received significant recognition including an NSF CAREER Award and Humboldt Research Fellowship, and he co-edited the comprehensive volumes 'The Evolution and Fossil Record of Parasitism'.
Una-May O'Reilly is a Principal Research Scientist at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), leading the ALFA group. She holds a PhD in Computer Science from Carleton University (1995), with prior roles including a postdoctoral appointment at MIT's Artificial Intelligence Laboratory. Her research focuses on cybersecurity, adversarial AI, software security, and disinformation dynamics, applying evolutionary algorithms and machine learning to address arms races in cyber defense and societal challenges like climate change communication. Education: B.Sc., University of Calgary M.C.S., Carleton University Ph.D., Carleton University (1995) Research Interests: Adversarial machine learning for secure systems Coevolutionary algorithms in cybersecurity and healthcare Program comprehension via neuroscience and AI Climate disinformation mitigation on social media Large language model applications in code synthesis and threat hunting Key Projects: Adversarial Cyber Security : Modeling cyber attack-defense arms races GIGABEATS : AI-driven medical sensor data analysis for critical care MOOC Learner Project : Data science for online education insights Awards: EvoStar Award (2013) for contributions to evolutionary computation Fellow of ACM Sig-EVO Leadership & Service: Co-founder and Vice-Chair of ACM Sig-EVO Former Chair of GECCO (2005), major evolutionary computation conference Editorial roles in Evolutionary Computation and Genetic Programming and Evolvable Machines Labs & Groups: Leads the AnyScale Learning for All (ALFA) group at CSAIL, focusing on scalable AI for cybersecurity, healthcare, and education.
Joseph Bailey is a Professor in the Department of Ecology & Evolutionary Biology at the University of Tennessee, Knoxville. His research focuses on evolutionary ecology, particularly how species interactions link genes to ecosystems, natural selection in community contexts, and scaling genetic processes across geographic and molecular resolutions. He holds a Ph.D. from Northern Arizona University (2003). Education: 2003 – Ph.D., Northern Arizona University Research interests include plant-animal interactions, evolutionary ecology, and the genetic underpinnings of community dynamics. His work integrates molecular, ecological, and evolutionary approaches across diverse systems, including native and invasive species interactions. He has published extensively on topics such as genetic structure of foundation species, plant-microbe interactions, and herbivore-induced ecosystem changes. Lab and Affiliations: His research group operates out of the Joseph Bailey Lab ( http://joebaileylab.com/ ). Publications reflect a focus on community genetics, indirect ecological interactions, and the genetic basis of species interactions.
Alan Grafen is an Honorary Fellow at Jesus College, University of Oxford, and holds Tutorial Fellow roles at St John’s College in Quantitative Biology. His primary affiliation is the University of Oxford’s Faculty of Biology and Medicine. He is a leading evolutionary biologist specializing in mathematical and logical models of evolutionary processes. Research Interests: Grafen’s work focuses on evolutionary theory, particularly the formalization of Darwinism, inclusive fitness, signal evolution, and sexual/kin selection. He leads the Formal Darwinism Project to mathematically formalize natural selection’s role in evolution. His models include the mathematical underpinning of Zahavi’s handicap principle and advancements in reproductive value theory. Key Contributions: Published influential works like Modern Statistics for the Life Sciences (2002) and co-authored analyses of Richard Dawkins’ evolutionary ideas. His recent articles (2018–2024) explore natural vs. sexual selection distinctions, kin recognition stability, and extensions to Fisher’s fundamental theorem. Awards and Grants: Not explicitly listed, but his work has shaped evolutionary theory. His research spans theoretical models in Nature -level journals and interdisciplinary collaborations with statisticians and biologists. Labs/Teams: Directs the Formal Darwinism Project and collaborates with evolutionary theorists globally. His work bridges mathematics and empirical biology, influencing both academic and popular science discourse.
Dr. Lyn Cook is an Associate Professor specializing in evolutionary biology and systematics at the University of Queensland. Her research examines plant-insect interactions, biogeographic patterns, and taxonomic relationships using molecular phylogenetics. Research focuses on: Australian flora and insect coevolution Historical biogeography of Southern Hemisphere taxa Taxonomic revisions using genomic data Cryptic species discovery Conservation prioritization Recent work addresses taxonomic controversies in Eucalyptus classification and resolves biogeographic origins of Australian arachnids using phylogenetic methods. Fieldwork spans Australian biomes from rainforests to arid zones.
Prof. Ralph Hückelhoven is a Professor of Phytopathology at the Technical University of Munich (TUM), affiliated with the TUM School of Life Sciences. His research focuses on the molecular and biological mechanisms underlying plant diseases, particularly plant immunity, pathogen exploitation of signal transduction, and host-pathogen interactions. He leads the Chair of Phytopathology at TUM since 2006, following academic roles at universities of Kiel and Hohenheim. Education: PhD (1999) and habilitation in molecular phytopathology (2005) from Justus Liebig University Giessen, after a biology degree at RWTH Aachen University. Awards: Julius Kühn Prize (2004) and leadership of a DFG Junior Research Group (2002-2006). His research spans plant immunity at cellular and molecular levels, including studies on receptor kinases (e.g., MIK2, LORE), RAC GTPases (e.g., RACB), and metabolomics-driven insights into pathogen resistance. He has published over 100 peer-reviewed articles, examining topics like fungal toxins, volatile signaling, and crop disease management. Key publications include work on Arabidopsis immune receptors, barley powdery mildew susceptibility factors, and Fusarium head blight resistance. Research integrates genetics, proteomics, and metabolomics to advance disease-resistant crop development. His lab investigates host-pathogen interactions across scales—from molecular signaling to field epidemiology—contributing to sustainable agricultural strategies against plant pathogens.
Dr James Herbert-Read is an Associate Professor and Whitten Lecturer in Marine Biology at the Department of Zoology, University of Cambridge. He serves as Deputy Head of Department (Postgraduate Education) and leads the Marine Behavioural Ecology Group. His research focuses on understanding how animals, particularly marine organisms, collect and process information from their environments to make behavioral decisions, with emphasis on social interactions, adaptation mechanisms, and ecological constraints. His group employs theoretical frameworks, controlled experiments, and quantitative field studies to investigate behavioral diversity in marine species. Key themes include collective behavior, predator-prey dynamics, camouflage strategies, and the impacts of environmental stressors on animal decision-making. Recent publications highlight work on lionfish vocalization mechanisms, cuttlefish camouflage, citizen science applications in marine research, and behavioral responses to visual and acoustic noise. Scientific awards and affiliations include: Whitten Lecturer in Marine Biology Associate Professor, University of Cambridge He has supervised research projects on topics such as: Social attraction in invasive fish species Evolution of coordinated movement Neurophysiological basis for leadership in shoals Maternal effects on offspring exploration
Yang You is a Presidential Young Professor at the National University of Singapore (NUS), affiliated with the Department of Computer Science under NUS Computing. He holds a PhD in Computer Science from UC Berkeley, advised by Prof. James Demmel. His research focuses on parallel/distributed algorithms, high-performance computing, and machine learning, particularly in scaling deep neural networks on distributed systems and supercomputers. Notably, his team achieved world records in ImageNet and BERT training speeds, with techniques adopted by tech giants like Google and NVIDIA. His optimizers (LARS/LAMB) are included in MLPerf benchmarks. Education - PhD in Computer Science, UC Berkeley - Outstanding Graduate of Tsinghua University (1st rank). Research Interests Yang You’s work spans machine learning system optimization, parallel computing, and distributed training infrastructure. He explores efficient algorithms for large-scale models, including techniques for reducing training time and improving scalability. His contributions emphasize practical implementations that bridge theory and industry applications, such as accelerating diffusion models and optimizing LLM inference. Awards & Honors Lotfi A. Zadeh Prize (2020) IPDPS 2015 Best Paper Award (0.8% acceptance) ICPP 2018 Best Paper Award (0.3% acceptance) ACM/IEEE George Michael HPC Fellowship Siebel Scholar (2020) Forbes 30 Under 30 Asia (2021) Advising & Labs He advises PhD students in cutting-edge research and leads the NUS AI Lab , focusing on advancing AI systems and high-performance computing. His lab collaborates with industry partners to deploy scalable machine learning solutions.
Tiffany M Jamann is an Associate Professor in Crop Sciences at the University of Illinois, where she holds the Monsanto Fellowship in Plant Breeding. Her research program focuses on understanding and improving disease resistance mechanisms in maize through integrated genetic, genomic, and phenotypic approaches. Dr. Jamann's work spans multiple disease systems with particular emphasis on foliar diseases such as Northern Leaf Blight and ear diseases like Gibberella ear rot. Her research interests include: Quantitative trait locus (QTL) mapping for disease resistance in maize Development of near-isogenic line populations for gene discovery Comparative studies of resistance mechanisms across different pathosystems Investigation of pattern-triggered immunity in maize Standardization of pathogen inoculation and disease rating methodologies Analysis of Dr. Jamann's recent publications (2023-2025) reveals a strategic integration of traditional plant breeding with cutting-edge genomic approaches. Her work demonstrates increasing use of comparative genomics and transcriptomics to identify host-specificity genes in pathogens while maintaining strong focus on practical breeding applications. A notable trend is her development of standardized methodologies for pathogen inoculation across multiple disease systems, enabling more reliable resistance evaluation. Monsanto Fellow in Plant Breeding Multiple publications featured in news outlets and academic discussions Active research with significant social media engagement (46 X users mentioning her work) Dr. Jamann's research program likely involves extensive collaboration with other plant pathologists and breeders, as evidenced by her numerous co-authored publications. Her work on multi-environment trials suggests substantial field research across different geographical locations. The development of specialized maize germplasm, including near-isogenic lines, indicates long-term investment in genetic resources for disease resistance research. Her laboratory maintains sophisticated capabilities for pathogen characterization, high-throughput phenotyping using fluorescence microscopy, and genetic mapping approaches. The emphasis on both fundamental plant-pathogen interactions and applied crop improvement demonstrates a research program that bridges basic science with practical agricultural outcomes.
Dr. Silu Wang is an Assistant Professor in the Department of Biological Sciences at the University at Buffalo. Her research focuses on speciation, adaptation, and forest evolutionary genomics, particularly in avian species. She leads the Forest Speciation Lab, studying the genomic and ecological mechanisms underlying species divergence in North American and global forest ecosystems. Her work integrates field studies, genomic analyses, and computational modeling to address biodiversity conservation challenges under climate change. Education: BS in Behavior Genetics and Neurobiology, University of Toronto MA in Ecology, Evolution and Behavior, University of Texas, Austin PhD in Zoology, University of British Columbia Postdoctoral Research at University of California Berkeley and UC Davis Research Interests: Dr. Wang investigates how hybridization, climate adaptation, and reproductive isolation shape avian biodiversity. Her lab uses old-growth forest bird species as models to study early-stage speciation processes, including mate choice, genetic incompatibilities, and mitochondrial-nuclear interactions. Key themes include understanding organismal responses to environmental changes and developing genomic tools for conservation prioritization. Lab and Teams: The Forest Speciation Lab collaborates with institutions globally, focusing on fieldwork in temperate and tropical forests. Current projects include studies on warbler hybrid zones, tinamou speciation, and the genomic architecture of mitonuclear coevolution. Teaching: Dr. Wang teaches courses on Speciation, Tropical Ecology, and Evolutionary Biology, emphasizing hands-on research training for students.
Dr. Yang Zhang is a Professor at the National University of Singapore (NUS), holding appointments in the Department of Computer Science (School of Computing) and the Department of Biochemistry (Yong Loo Lin School of Medicine). He also leads the Zhang Lab, which focuses on AI-driven computational methods for protein structure prediction and design. Previously, he was a Professor at the University of Michigan. His research integrates artificial intelligence, deep learning, and physics-based models to address challenges in computational biology. Affiliations: School of Computing; Yong Loo Lin School of Medicine; Cancer Science Institute of Singapore Key Roles: Principal Investigator of Zhang Lab; Developer of I-TASSER algorithm Research interests span AI-driven protein design, deep learning for RNA structure prediction, and drug discovery. Projects include the EvoDesign server for protein interaction design and TripletRes for coevolution-based contact prediction. Major contributions include the I-TASSER algorithm, ranked top in CASP experiments for protein structure prediction. Awards: Alfred P. Sloan Award, NSF CAREER Award, and seven-time Highly Cited Researcher (2015–2021).
