Michael Wheeler is a Professor in Philosophy at the University of Stirling, focusing on cognitive science, phenomenology, and the philosophy of technology. His work bridges existentialist philosophy with modern AI ethics and embodied cognition. Key Research Themes: Extended mind, distributed cognition, and transparency in smart machines. Recent Projects: Explore the societal impact of AI, cognitive change in the arts, and the interplay between aging and cognition. Selected Articles (2024-2019): His publications span topics like creativity and contingency in the arts, transparency in AI, and the evolutionary psychology of reasoning. Notable Contributions: Advocates for integrating phenomenology into cognitive science and challenges representationalist frameworks in AI and robotics.
Prof. dr. Tessa Quax is an Associate Professor at the Faculty of Science and Engineering, University of Groningen, leading research in Molecular Microbiology . Her work focuses on archaeal virology and virus-host interactions, supported by prestigious grants including an ERC Starting Grant (2022) and NWO Vidi Grant (2023). Key Research Areas: Archaeal virus entry/egress mechanisms Cell surface dynamics and motility Extreme environment microbiology Genetic tool development for archaea Recent publications in Nature Reviews Microbiology (2025) and Current Opinion in Microbiology (2024) highlight her work on viral host recognition and structural diversity. Her lab's 44 research outputs span archaeal cell biology, viral evolution, and ecological impacts of virus-induced lysis. Scientific Recognition: KNAW Beijerinck Premium (2022) KNAW Early Career Award (2021) Hector Research Career Development Award (2021) ERC Starting Grant (2022) As Chair of the International Society for Viruses of Microbes SAB and Speaker of the German Microbiology Society's Microbial Viruses group, she coordinates global research networks including a HFSP grant (2023) with Japan/Australia/USA collaborators. Her lab currently includes PhD candidate Zaloa Aguirre Sourrouille and multiple postdoctoral researchers.
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.
Leslie Valiant is the T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics in Harvard University's School of Engineering and Applied Sciences, where he has held a faculty position since 1982. A foundational figure in theoretical computer science, his work bridges artificial and natural computational phenomena across multiple disciplines. His academic background includes education at: King's College, Cambridge Imperial College, London Ph.D. in Computer Science from Warwick University (1974) Valiant's research spans computational complexity , machine learning theory , parallel systems , and computational neuroscience . He pioneered the PAC (Probably Approximately Correct) learning framework that established computational learning theory as a rigorous field. His holographic algorithms work revealed deep connections between computational complexity and statistical physics, while his neuroidal model and evolvability theory provide computational explanations for cognitive processes and biological evolution. Current investigations focus on cortical computation primitives and knowledge infusion architectures. His publication trends show increasing integration of neuroscience with computational theory since 2010, with dominant themes in holographic computation (2006-2018), cortical modeling (2012-2018), and evolvability (2009-2017). The work consistently applies computational complexity analysis to biological and cognitive systems. Major recognitions include: Nevanlinna Prize (1986) for mathematical aspects of computer science Knuth Award (1997) for foundational algorithms contributions EATCS Award (2008) for theoretical computer science impact Turing Award (2010) for computational learning theory and complexity Fellowship in the Royal Society and National Academy of Sciences Valiant's research has been supported by NSF and international grants enabling cross-disciplinary work in computational neuroscience and evolutionary algorithms. While specific advisees aren't documented in source materials, his theoretical frameworks have shaped generations of researchers in machine learning and complexity theory. His current research group explores neuroidal architectures for cognitive computation, investigating how cortical circuits achieve robust information processing through in-circuit testing methodologies. Ongoing projects aim to identify fundamental computational primitives in neural systems and develop biologically inspired AI frameworks.
Eric Slessarev is an Assistant Professor at Yale University , affiliated with the Department of Ecology and Evolutionary Biology and the Yale Center for Natural Carbon Capture. His research focuses on soil biogeochemistry, particularly how soil properties influence carbon and nutrient cycling in terrestrial ecosystems, with applications to climate change mitigation strategies like enhanced rock weathering and perennial grass cultivation. Teaches Ecology of Landforms and General Ecology Labs located at KGL 318 (research) and KGL 417 (office) His recent publications highlight interdisciplinary approaches to understanding mineral-organic matter interactions, microbial controls on carbon cycling, and policy implications for soil-based carbon removal strategies. Key methodologies include global data synthesis, isotope tracing, and experimental manipulation of soil-plant systems across depth profiles. Notably, his 2025 work demonstrates drought impacts on carbon persistence, microbial harnessing for CO2 removal, and economic modeling of reversible carbon storage. 2024 studies explore deep-rooted plant effects on carbon fractions, calcium's role in mollisol formation, and policy optimization for carbon sequestration.
Donald Rio holds the Richard and Rhoda Goldman Distinguished Chair in the Biological Sciences and is a Professor of Biochemistry, Biophysics, and Structural Biology. He is affiliated with the Division of Biochemistry and Molecular Biology and the Center for Integrative Genetics. His lab focuses on nucleic acid transactions, including transposable element mobilization (P elements) and RNA binding protein mechanisms controlling alternative splicing. Research highlights include studies on THAP9 proteins in humans/zebrafish, cryo-EM structural analysis of transposase-DNA complexes, and splicing regulation in neurodegenerative diseases like ALS and Parkinson’s. His work combines biochemical, genetic, and computational approaches, including the development of the Junction Usage Model (JUM) for splicing analysis. Research interests span transposition mechanisms linked to HIV integration, immune system recombination, and evolutionary genome dynamics. His team investigates how RNA binding proteins like hnRNPA1 influence splicing in disease contexts, with projects involving CRISPR-based models and patient RNA-seq data analysis. Collaborations include studies on splicing accuracy across tissues and age, and the impact of splicing defects in neurodegenerative disorders. Key awards include the Goldman Chair. His lab’s contributions bridge fundamental molecular mechanisms with translational applications in genetic disease modeling and drug discovery. Recent work focuses on isogenic stem cell models (iSCORE-PD) for Parkinson’s research and structural biology insights into transposase function. Grants and projects involve NIH funding for ALS splicing studies and collaborations with institutions like the Buck Institute. His lab actively publishes in top journals such as Genome Research , PNAS , and Nature , with a strong emphasis on cryo-EM and bioinformatic methods.
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.
Matthew Wills is Professor of Evolutionary Palaeobiology in the Department of Life Sciences at the University of Bath. He is affiliated with the Milner Centre for Evolution and the Centre for Mathematical Biology, where he leads research into macroevolutionary processes using fossil and molecular data. His work integrates phylogenetics, morphological disparity, and stratigraphic congruence to understand large-scale evolutionary patterns. His research interests focus on the role of fossils in building phylogenies, the evolution of morphological complexity, and the testing of macroevolutionary trends such as early high disparity and increasing complexity. He investigates how developmental shifts underpin major evolutionary transitions and how fossilization biases affect our understanding of the Tree of Life. His lab conducts projects on arthropod supertrees, molluscan ontogeny, and the phylogeny of Eumalacostraca using molecules, morphology, and fossils. His recent publications reveal a strong focus on quantifying morphological complexity, vertebral evolution in mammals, species richness in birds, and the impact of boundaries on trait evolution. These works frequently appear in high-impact journals like Nature Communications and Nature Ecology & Evolution , indicating a trend toward integrative, data-rich evolutionary analyses combining paleontological, morphological, and phylogenomic approaches. Principal Investigator, Biodiversity and The Sixth Mass Extinction (Royal Commission for the Exhibition of 1851) Principal Investigator, Susceptibility to Mass Extinctions: Ammonites as a Case Study (NERC) Principal Investigator, PLUTO Project (BBSRC) Principal Investigator, Arthropod Supertree of Life (BBSRC) He has supervised 17 research students and contributes to public discourse through platforms like The Conversation . His work supports UN Sustainable Development Goals related to life on land and climate action through deep-time biodiversity research.
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
Steven N. Evans is a Distinguished Professor at the University of California, Berkeley , affiliated with the Department of Statistics and the Center for Computational Biology . With over three decades of service since 1987, his work bridges probability theory , stochastic processes , and their applications in mathematical biology , computational genetics , and phylogenetics . His research spans: Probability on Algebraic Structures , including random matrices and local fields. Measure-Valued Processes and coalescent models in population genetics. Phylogenetic Inference in historical linguistics and ecology. Stochastic Models for gene expression, fitness landscapes, and mutation-selection balance. Markov Processes and their applications in phylodynamics. Recent publications highlight his contributions to phylogenetic networks , Frechet mean sets , and Levy process analysis , with keywords spanning Probability , Computational Biology , and Population Genetics . He has mentored 10 PhD students, including Boyan Xu (2024) and Nicholas Bhattacharya (2022). His email is evans@stat.berkeley.edu .
Kees Dorst is a Professor of Transdisciplinary Innovation at the TD School of the University of Technology Sydney. He bridges philosophical understandings of design with practical applications, focusing on tackling complex societal challenges through designerly thinking. His research develops methodologies for strategic transformation and networked problem-solving in public sectors. Professor of Transdisciplinary Innovation, UTS Director, Designing Out Crime Research Centre International keynote speaker and advisor on design thinking Research Interests Dorst specializes in: Transdisciplinary innovation for societal challenges Design thinking and co-evolutionary processes Reframing complex problems in public policy Design cognition and metacognition Urban environment design for safety Recent Research Trends show increasing focus on: Hypercomplex problem-solving frameworks Strategic transformation through design Cognitive models in design processes Public sector innovation methodologies Teaching & Leadership includes: Bachelor of Creative Intelligence and Innovation Master of Creative Intelligence and Strategic Innovation Founding the Designing Out Crime Research Centre International design research symposium leadership
R. Dean Astumian is a Professor of Physics in the Department of Physics and Astronomy at the University of Maine, based in Bennett Hall (Room 122) with contact details astumian@maine.edu and 207/581-1024. His academic credentials include: B.S. in Chemistry (1978), University of Texas at Arlington M.S. in Chemistry (1982), University of Texas at Arlington Ph.D. in Mathematical Science/Physical Chemistry (1983), University of Texas at Arlington Professor Astumian's research centers on biophysics and condensed matter physics, specializing in chemically driven molecular motors and pumps. His work investigates energy transduction mechanisms at the molecular scale, focusing on non-equilibrium thermodynamics, kinetic asymmetry, and directional motion in synthetic and biological systems. This research bridges fundamental physics with applications in nanotechnology and synthetic biology. His 2023-2025 publications reveal persistent exploration of molecular ratchets, enzyme chemotaxis, and artificial molecular machines. Key themes include dissipation-driven directionality, electric molecular motors, and compartmentalized reaction networks, demonstrating consistent innovation in understanding how chemical energy drives mechanical motion at nanoscales across diverse chemical and biological contexts. Information regarding graduate students, research grants, scientific awards, laboratories, or collaborative teams was not provided in the available text.
C. S. George Lee is a Professor of Electrical and Computer Engineering at Purdue University's Elmore Family School of Electrical and Computer Engineering, located in West Lafayette. His research focuses on Robotics, Transfer Learning, Neuro-fuzzy Systems, Automatic Controls, and Computer Engineering. He holds a BSEE (1973), MSEE (1974) from Washington State University, and a PhD (1978) from Purdue University. His work integrates computational intelligence with AI, robotics, and education technology, emphasizing human-machine co-learning models and bilingual systems. His contributions span domains like quantum computing, generative AI, and knowledge graph applications. He leads the Art Lab at Purdue and has published extensively on topics ranging from humanoid robotics to cross-cultural educational platforms. His research areas include developing intelligent agents for edutainment, robotic assistants for student learning, and advanced machine learning techniques. Notable trends in his publications involve computational intelligence applied to bilingual language models (e.g., Taiwanese/English co-learning), quantum-based AI systems, and human-centric robotics. He has explored applications in healthcare (e.g., blood donor analysis), autonomous navigation, and game AI (e.g., Go). His work often bridges theoretical advancements with real-world implementations, such as Java software tools for motor activity assessment (JKinect) and AI-driven platforms for skill evaluation. Lee's research emphasizes interdisciplinary collaboration, with contributions to IEEE conferences and cross-institutional projects. His lab develops tools for adaptive e-learning, robotic task performance evaluation, and human pose estimation using neural networks. Despite prolific publishing, no specific grants or awards are explicitly mentioned in the provided text. His work continues to explore the intersection of human intelligence and smart machines through platforms like Metaverse integration and BCI (Brain-Computer Interface) applications.
Juergen Schmidhuber is Associate Professor at the Faculty of Informatics of Università della Svizzera italiana and a leading researcher at the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI). He is also Chief Scientist at NNAISENSE, a company dedicated to building practical general-purpose AI. His work has profoundly influenced modern artificial intelligence, particularly through the development of Long Short-Term Memory (LSTM) networks in 1991, now deployed across billions of devices for speech recognition, machine translation, and virtual assistants. His research interests span Artificial Intelligence, Deep Learning, Recurrent Neural Networks, Universal AI, Meta-Learning, Algorithmic Information Theory, Artificial Curiosity, Robotics , and Low-Complexity Art . He has pioneered mathematically rigorous frameworks for self-improving AI systems and formal theories of creativity and beauty. His work bridges theoretical foundations with real-world applications in computer vision, natural language processing, and autonomous robotics. The recent articles reflect a consistent trajectory of innovation, combining deep theoretical insights with scalable machine learning architectures. His publications emphasize sequence modeling, universal learning, intrinsic motivation, and computational creativity , demonstrating both foundational contributions and industrial impact. From LSTM to Goedel machines, his work consistently targets the long-term goal of self-improving general AI. Scientific Awards: Numerous awards in AI and machine learning (specific names not listed) Schmidhuber leads a research group at IDSIA, where he mentors students and researchers in advancing the frontiers of AI. His lab has secured significant recognition and industrial collaboration, though specific grants are not detailed. He promotes the 'New AI'—general, sound, and relevant to physics—and continues to explore the convergence of intelligence, computation, and the universe. Labs and Teams: Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI) NNAISENSE (as Chief Scientist)
Hector Aguilar-Carreno is a Professor of Virology in the Department of Microbiology and Immunology at Cornell University's College of Veterinary Medicine, where he also serves as Associate Vice Provost in the Office of the Vice President for Research and Innovation. His research focuses on high-mortality paramyxoviruses including Nipah virus (NiV) and Hendra virus (HeV), as well as coronaviruses and other enveloped viruses. Dr. Aguilar-Carreno received his BS in Biochemical Engineering from Instituto Tecnologico de Tepic, Mexico, followed by an MS in Biology from California State University, Los Angeles, and a PhD in Biochemistry and Molecular Biology from the University of Southern California. He completed postdoctoral training in Virology at UCLA under Dr. Benhur Lee before becoming an Assistant Professor at Washington State University's Paul G. Allen School for Global Animal Health. His research spans four main areas: (1) Viral entry mechanisms, where his lab has identified novel domains in viral glycoproteins important for membrane fusion; (2) Viral egress, using multi-omics approaches to study viral assembly and budding; (3) Vaccine development using viral-like particles to generate neutralizing antibodies; and (4) Antiviral discovery targeting enveloped viruses. His lab employs innovative techniques including Flow Virometry and Raman Spectroscopy to study viral entry processes. Analysis of his recent publications reveals a strong focus on paramyxoviruses (particularly Nipah and Hendra viruses), coronavirus research, and the development of broad-spectrum antivirals. His work spans fundamental virology to translational applications, with numerous publications in high-impact journals including Nature, Science, and Cell Reports. President Elect of the American Society of Virology Chair of the American Society of Virology Diversity, Equity, and Inclusion committee Chair of the Cornell CVM Diversity Committee Director of the Cornell Program for Achieving Career Excellence Chair of 16 PhD student thesis committees Dr. Aguilar-Carreno has served on numerous scientific committees including the American Society for Virology Education Committee, the American Society of Microbiology Committee for Minority Education, and as a Standing Member of the VIR-A NIH study section. His leadership extends to chairing the Cornell CVM Diversity Committee and serving on the Cornell presidential postdoctoral fellowship committee, demonstrating significant commitment to diversity and mentorship in science.
