Affiliations & Roles Professor of Computer and Information Science at University of Pennsylvania Faculty in Graduate Groups: Bioengineering (School of Engineering) Genomics & Computational Biology (School of Medicine) Operations, Information & Decisions (Wharton School) Psychology (School of Arts & Sciences) Research Affiliations: Annenberg Public Policy Center (Distinguished Fellow) Center for Cognitive Neuroscience Institute for Translational Medicine Research Interests Focuses on explainable AI, natural language processing (NLP), and machine learning applications in psychology and medicine. Key areas include: Language analysis for well-being and mental health Spectral methods for NLP (e.g., Eigenwords) Forecasting and decision-making models Bioinformatics and genomics Teaching Teaches advanced courses in Machine Learning, Deep Learning, and AI ethics, including: CIS 5200: Machine Learning CIS 5220: Deep Learning CIS 6200: Advanced Topics in Deep Learning Key Collaborations Works with interdisciplinary teams on projects like the Good Judgment Project (forecasting) and WWBP (Well-Being and Language). Collaborators include Martin Seligman (positive psychology), Dean Foster (statistics), and Michael Collins (NLP).
Kunihiko Kaneko is a Professor at the Niels Bohr Institute, University of Copenhagen, with a distinguished career in theoretical biophysics and complex systems. He received his PhD and MSc in Physics from the University of Tokyo, and has held leadership roles at the Universal Biology Institute and Center for Complex Systems Biology. PhD Physics, 1984 - University of Tokyo MSc Physics, 1981 - University of Tokyo His research spans five primary areas: Universal Biology, Evolutionary Constraints, Ecosystem Dynamics, Neural Cognition, and Universal Anthropology. He has published extensively on multi-level consistency principles, dimensional reduction in biological systems, and reciprocity between robustness and plasticity across scales. Recent publications show strong focus on microbial ecosystems (2025), evolutionary game theory (2025), neural modular architectures (2024), and dimensional reduction in cellular systems (2024). His work bridges physics and biology through dynamical systems theory applied to diverse phenomena from protocells to human societies.
Scott E. Miller is Senior Biodiversity Advisor, Senior Research Entomologist, and Curator of Lepidoptera at the Smithsonian's National Museum of Natural History. He has held numerous leadership positions including Deputy Under Secretary for Collections and Interdisciplinary Support, Deputy Under Secretary for Science, Associate Director for Science at the Smithsonian's National Zoological Park, and Interim Director of Smithsonian Libraries and Archives. Prior to the Smithsonian, he held leadership roles at the International Centre of Insect Physiology and Ecology in Nairobi, Kenya, and the Bishop Museum in Honolulu, Hawaii. Miller earned his BS from the University of California at Santa Barbara and his PhD from Harvard University. His academic journey has been marked by significant contributions to entomology and biodiversity research. Dr. Miller's research focuses on the integration of systematics, ecology, biogeography and conservation of insects and plants. His current work uses museum-based taxonomy and systematics to mobilize biodiversity information to empower ecology, conservation, and agriculture. Major research themes include moth systematics, biogeography and phylogenomics (particularly Dalceridae, Geometridae, and other families), insect food web and ecology projects in Papua New Guinea, Kenya and elsewhere, and building DNA reference libraries from museum vouchers for ecological applications. He has been instrumental in developing DNA-based identification tools through initiatives like the Consortium for the Barcode of Life. His recent publications demonstrate a strong focus on biodiversity informatics, DNA barcoding, and the application of museum collections to contemporary ecological questions. Miller's work spans tropical ecology, systematics, and the development of new methodologies for biodiversity assessment, with significant fieldwork conducted in Papua New Guinea, Kenya, and other biodiversity hotspots. Dr. Miller has contributed significantly to scientific infrastructure development, including co-chairing the US Government's Interagency Working Group on Scientific Collections and helping establish the Consortium for the Barcode of Life. His leadership extends to international scientific collaboration and the development of research centers like Mpala Research Centre in Kenya. As Senior Biodiversity Advisor, he oversees major initiatives that connect museum collections with contemporary biodiversity challenges. His laboratory and team focus on leveraging the extensive moth collections at NMNH for phylogenomic studies and ecological applications, working closely with international collaborators on projects spanning multiple continents.
Sebastian Risi is a Professor at the IT University of Copenhagen , where he directs the Creative AI Lab and co-directs the Robotics, Evolution and Art Lab (REAL) . His work bridges computational evolution, deep learning, and collective intelligence for applications in robotics, art, and video game design. His research focuses on self-organizing AI systems that grow or assemble through local interactions, inspired by biological development. Key areas include neuroevolution , neural cellular automata , and generative modeling , with applications in adaptive robotics, game content creation, and damage-resilient AI. Recent publications highlight trends in self-assembling neural architectures (NDPs) and 3D functional machine generation (Minecraft experiments). Awards include ERC Consolidator Grant (2022), Best Paper at FDG’21 , and Google Faculty Award (2019). Scientific Awards : ERC Consolidator Grant (GROW-AI), Best Paper FDG’21, Runner-Up IEEE Games’20, GECCO 2017 Competition Winner, Sapere Aude Grant, Amazon/Google Faculty Awards He advises on projects like GROW-AI (EU-funded), AI-TESTER (game testing), and C2SIM (military systems). Media coverage includes Science , Wired , and Popular Science .
Charles C. Davis is a Professor of Organismic and Evolutionary Biology at Harvard University and Curator of Vascular Plants in the Harvard University Herbaria. He leads the Davis Lab, focusing on plant diversity through integrative research in systematics, paleobiology, ecology, and molecular biology. His work emphasizes phylogenetic theory, biogeography, and the application of herbarium collections to address global change challenges. Davis is particularly noted for leveraging herbarium specimens to study plant responses to climate change, phenology, and biodiversity patterns. Research interests include plant-insect interactions, genome architecture evolution in parasitic plants, and the ethical use of herbarium specimens. His lab has pioneered high-throughput phylogenomic pipelines (e.g., PhyloHerb) and explored the future of herbaria in the digital age. Collaborations span global institutions, emphasizing digitization, spectral imaging, and AI-driven analysis of biodiversity data. Recent work highlights the impact of anthropogenic change on plant communities, the role of phenology in species survival, and strategies to mitigate collecting biases in herbaria. Davis teaches courses on plant systematics and evolution, and his lab actively participates in public engagement through exhibits like the HMNH’s *In Search of Thoreau’s Flowers*. His research has been featured in *Trends in Ecology & Evolution*, *Molecular Phylogenetics and Evolution*, and *Current Biology*, with a focus on advancing methodologies for biodiversity science while addressing ethical challenges in specimen sampling.
Betsy Foxman serves as the Hunein F. and Hilda Maassab Professor of Epidemiology at the University of Michigan School of Public Health. She directs three major initiatives: the Center for Molecular and Clinical Epidemiology of Infectious Diseases, the Integrated Training in Microbial Systems program, and the Certificate in Healthcare Infection Prevention & Control. Her academic leadership spans decades with continuous research contributions. Dr. Foxman earned her PhD and MSPH from UCLA (1983, 1980) and BS from UC Berkeley (1977). Her research centers on infectious disease transmission, microbiome ecology, antibiotic resistance, and wastewater surveillance . Key projects include analyzing the oral microbiome in dental caries using genomic methods, studying nose/throat microbiome associations with respiratory infections in nursing facilities, and developing wastewater monitoring for antibiotic-resistant pathogens. Her work integrates next-generation sequencing with epidemiological analysis to identify novel interventions. Publication trends reveal consistent focus on microbiome-pathogen interactions across multiple body sites (oral, vaginal, gut, respiratory). Recent articles demonstrate methodological innovation in wastewater epidemiology (2024 Norovirus GII monitoring) and clinical applications like predicting vancomycin-resistant enterococci contamination (2023 Lancet study). Her research bridges molecular microbiology with population health, emphasizing translational potential for diagnostics and public health interventions. Fellow of the Infectious Disease Society of America Fellow of the American College of Epidemiology Fellow of the American Academy of Microbiology Dr. Foxman's advising portfolio includes numerous NIH-funded projects on microbiome dynamics and infection control. Her leadership in the Center for Molecular and Clinical Epidemiology drives collaborative research across departments. Current initiatives focus on wastewater surveillance standardization and microbiome-based diagnostics for infection prevention. She maintains active laboratories for genomic analysis of microbial communities and clinical sample processing.
Dr. Carsten Nowak serves as Head of Conservation Genetics at the Senckenberg Research Institute and Natural History Museum Frankfurt, where he leads the national reference center for genetic analyses of wolves and lynx. His work bridges cutting-edge molecular methods with practical conservation applications, focusing on wildlife monitoring and species preservation. Since 2010, his laboratory has been responsible for central examination of all samples collected through Germany's nationwide wolf and lynx monitoring programs. Nowak's research interests center on developing highly sensitive molecular marker systems for wildlife monitoring, with particular expertise in environmental DNA (eDNA) methods and SNP chips optimized for genotyping forensic and non-invasively collected environmental samples. His work addresses critical questions in conservation biology, including inbreeding, genetic impoverishment, population origins, and human environmental impacts on genetic population structures of native species. He investigates how genetic methods can clarify previously unanswered questions in nature conservation, where data limitations often hinder efficient and targeted conservation measures. His extensive publication record (2023-2025) reveals a strong focus on wolf population dynamics across Europe, hybridization detection methodologies, and conservation genomics of endangered species like the garden dormouse. Nowak's research demonstrates sophisticated approaches to tracking animal movements across national borders, assessing genetic diversity in recovering populations, and developing practical tools for non-invasive wildlife monitoring. His work on wolf-dog hybridization has particular policy relevance as wolf populations expand across Europe. As a public-facing scientist, Nowak regularly engages with policymakers and the public through presentations, media appearances, and citizen science projects. He has participated in high-profile events including briefings for Federal Environment Minister Svenja Schulze and numerous public lectures on wildlife conservation topics. His leadership extends to coordinating international research collaborations, including the CEwolf Consortium and various transboundary monitoring networks. Nowak directs the Center for Wildlife Genetics in Gelnhausen, where his team conducts DNA-based analyses of predator-prey interactions, livestock depredation incidents, and wildlife population monitoring. His laboratory serves as the national reference center for genetic analyses of wolves and lynx in Germany, processing samples from across the country to distinguish individuals, determine relatedness, and monitor population health. The center also develops molecular methods for detecting wolf-dog hybrids and other conservation genetics applications.
Professor Daniel Catchpoole serves as Deputy Head of School (Research) at the School of Computer Science, University of Technology Sydney (UTS), holding dual appointments at UTS and The Children's Hospital at Westmead. With over 20 years of research experience, he bridges computational sciences and pediatric cancer research through the Biomedical Data Science Lab in the Australian Artificial Intelligence Institute. His work integrates data analytics, artificial intelligence, and software development with molecular cancer biology to transform pediatric cancer treatment pathways. PhD in Cancer Cell Biology, University of New South Wales (1991-1995) Founding Fellow, Royal College of Pathologists Australasia (2010-present) Head, Children's Hospital at Westmead Tumour Bank (2001-present) Professor Catchpoole's research focuses on translational applications of genomics in childhood cancers, particularly acute lymphoblastic leukemia and neuroblastoma. His work combines high-throughput genomic technologies with advanced computational analysis to develop systems biology approaches for cancer patient assessment. Recent projects explore virtual reality applications for complex genomic data visualization and copper chelation therapies to enhance neuroblastoma immunotherapy. His research has received significant funding from Cancer Institute NSW, Sony Foundation, ARC, and NHMRC. His publication record spans biomedical data science, cancer genomics, and virtual reality applications in oncology. Recent work demonstrates leadership in 3D latent diffusion models for tumor segmentation, biobank economics, and innovative immunotherapies. His research consistently addresses the critical need for actionable knowledge from complex multidimensional biomedical data. Editorial Board Member, Cancers (2023) Associate Editor, Innovations in Digital Health, Diagnostics and Biomarkers (2019) Founding member and first President, Australasian Biospecimens Network Association Professor Catchpoole has supervised 17 Honours students (including 6 First Class Honours), 3 MSc students, and 12 PhD candidates across multiple institutions, with 6 current PhD students. His collaborative research bridges UTS's Faculty of Engineering and IT with The Children's Cancer Research Unit at The Children's Hospital at Westmead. Significant research funding includes Cancer Institute NSW grants, Sony Foundation VR projects, and ARC Discovery Projects focused on genomic data analysis and clinical decision support systems. His leadership extends to building frameworks for translational research, managing biobanks and clinical data linkages, and navigating governance requirements for cancer research. The Tumour Bank at Kids Research, CCRU, represents his long-standing commitment to pediatric cancer infrastructure development.
Neil F. Lobo is a Research Professor in the Department of Biological Sciences at the University of Notre Dame, where he has held progressive academic positions since 2004. His work lies at the intersection of medical entomology, infectious disease epidemiology, and public health policy, with a focus on mosquito-borne diseases such as malaria and dengue. He conducts field and laboratory research across multiple continents, collaborating with global health programs to inform vector control strategies. Ph.D. in Molecular Biology, University of Notre Dame (1995–2000) B.Sc., St. Joseph’s Arts and Science College, Bangalore, India (1990–1994) Dr. Lobo's research centers on understanding the biological and behavioral traits of Anopheles mosquitoes that influence malaria transmission. His lab investigates vector bionomics, species composition, insecticide resistance, and the impact of human behavior on disease spread. A major focus is residual transmission—malaria cases that occur despite existing interventions like bed nets and indoor spraying. His work emphasizes evidence-based decision-making for national malaria control programs. His recent publications span topics including spatial repellents, human exposure patterns, and malaria eradication strategies. Collectively, these studies reflect a strong commitment to operational research that bridges scientific discovery with real-world implementation. His work is published in high-impact journals such as The Lancet , Malaria Journal , and American Journal of Tropical Medicine and Hygiene , and often involves multi-institutional, international collaborations. Scientific awards and honors: No specific awards mentioned in the provided text. Dr. Lobo has advised numerous research projects and contributed to major global health initiatives, including collaborations with ministries of health in Africa and Southeast Asia. His lab supports operational research to evaluate intervention efficacy, vector surveillance, and transmission drivers. He has secured funding for long-term field studies in countries such as Indonesia, Kenya, Tanzania, Zambia, and Ethiopia, enabling data-driven policy recommendations for vector control. The Lobo Lab operates with a strong commitment to equity, inclusion, and anti-racism in science. It fosters an open, intersectional environment that values diverse perspectives to enhance scientific rigor and global applicability. The lab collaborates with academic institutions, NGOs, and public health agencies worldwide to advance health standards, particularly for populations disproportionately affected by preventable diseases.
Tyler Imfeld is an Assistant Professor in the Department of Biology at Regis University, specializing in evolutionary ecology and avian biodiversity. His work focuses on the diversification of songbirds in the Americas. Education: BS in Biology from Xavier University; PhD in Ecology, Evolution, and Behavior from the University of Minnesota. Dr. Imfeld integrates molecular and morphological data from natural history collections to address evolutionary and taxonomic questions, with a strong emphasis on phylogenetics. His research spans biogeography, adaptive radiation, and morphological evolution in passerines. Recent publications analyze macroevolutionary patterns in avian phylogenies, interhemispheric dispersal dynamics, and the role of ecological factors in speciation. Earlier work explored microbial interactions with nutrients and manganese cycling in environmental systems. Dr. Imfeld actively incorporates natural history collections into his teaching and outreach programs, engaging learners of all ages in biodiversity studies.
Katherine E. Varley, PhD is a Huntsman Cancer Institute Investigator and Associate Professor in the Department of Oncological Sciences at the University of Utah. She leads the Varley Lab and is a member of the Nuclear Control of Cell Growth and Differentiation Program, focusing on breast cancer genomics, epigenetics, and biomarker discovery. Her work bridges computational biology with clinical applications to improve breast cancer diagnosis and treatment. Dr. Varley earned her BS in Biology with a concentration in Computational Biology from Cornell University in 2003, followed by a PhD in Computational Biology from Washington University School of Medicine in 2009 under Dr. Robi Mitra. Her postdoctoral training was conducted in Dr. Richard M. Myers' laboratory at the HudsonAlpha Institute for Biotechnology, where she participated in the ENCODE Project Consortium. Her research focuses on using next-generation sequencing and computational analysis to study gene expression, transcription factor binding, and DNA methylation patterns in breast cancer. The Varley Lab investigates epigenetic gene regulation, develops novel molecular methods and bioinformatics approaches, and translates discoveries into clinical tools. Key research areas include Clinical Trial Genomics, Epigenome Engineering, Detecting Circulating Tumor DNA, and identifying Transcription Factors Driving Metastasis, with particular emphasis on triple-negative breast cancer. Analysis of Dr. Varley's publications reveals a consistent trajectory from fundamental genomic mechanisms to clinical translation, with recent work emphasizing biomarker discovery, tumor heterogeneity, and the development of genomic tools for precision oncology. Her research spans cancer biology, genomics, and computational analysis to address critical challenges in breast cancer treatment. Dr. Varley holds multiple patents related to cancer diagnostics and genomic technologies, including targeted sequencing methods, multigene assays for recurrence risk, and biomarkers for triple-negative breast cancer. These inventions reflect her commitment to translating basic research into clinical applications. She actively collaborates with clinical investigators in breast cancer trials and works closely with the Breast and Gynecologic Cancers Disease Center at Huntsman Cancer Institute. Her lab maintains four main research thrusts that collectively address breast cancer from molecular mechanisms to clinical applications, demonstrating a comprehensive approach to improving patient outcomes through genomic technologies.
Celia Byrne is an Associate Professor in the Department of Preventive Medicine and Biostatistics at the Uniformed Services University of the Health Sciences (USUHS). She holds a dual appointment in the Department of Epidemiology and Biostatistics. Her academic background includes a Bachelor's in Biology from Earlham College and a PhD/Master's in Epidemiology from UCLA. Her research focuses on environmental exposures, breast cancer epidemiology, and public health disparities. Key projects include investigating polycyclic aromatic hydrocarbons (PAHs) and breast cancer risk, environmental metal impacts on breast density, and the effects of SARS-CoV-2 on long-term health outcomes in military populations. She has led federally funded studies, such as the US Army-funded PAHs and Breast Cancer Risk project and a National Institute of Environmental Health Sciences study on metal/metalloid exposures. Byrne’s work bridges epidemiology and biostatistics, emphasizing methodological rigor in analyzing population-level health data. Her recent studies address post-COVID-19 sequelae, vaccination impacts, and racial disparities in endocrine-disrupting chemical exposure. Collaborations include multidisciplinary teams across military and civilian institutions. Her publications span environmental health, infectious disease epidemiology, and breast cancer research. Notable contributions include analyses of long-COVID symptoms, hybrid immunity mechanisms, and the role of acculturation in breast density among immigrant populations.
Gerald Quon is an Associate Professor in the Department of Molecular and Cellular Biology at the University of California, Davis. He is affiliated with the Genome Center and participates in multiple graduate programs, including Integrative Genetics and Genomics, Neuroscience, Computer Science, Biostatistics, and Biomedical Engineering. Education: PhD in Computer Science from the University of Toronto (2012) MSc in Biochemistry from the University of Toronto (2006) Research Interests: Dr. Quon applies computational approaches to genetics and genomics problems, focusing on the genetics of human disease , models of cell population dynamics , and neurogenomics . His lab builds neural network models to understand how genetic variation affects disease risk through molecular and cellular phenotypes, with applications to obesity, Alzheimer’s disease, psychiatric disorders, and Rett syndrome. Recent Research Trends: Recent publications highlight work in neuroplasticity , single-cell multimodal analysis , brain evolution , morphological variation modeling , and microbiome-based classification . His team combines sequencing and imaging technologies to model cellular interactions and gene expression dynamics. Scientific Awards: NIH New Innovator Award (2021) Grants & Collaborations: He received NSF funding (2019) for computational tools in single-cell analysis and collaborates across disciplines, including neuroscience, biomedical engineering, and computational biology. His lab develops software like scProjection , siVAE , and scAlign .
Dr. Nilo Merino Recalde is a Postdoctoral Researcher at the Edward Grey Institute, University of Oxford. His research focuses on animal culture, acoustic monitoring of biodiversity, and applied machine learning. He employs interdisciplinary approaches spanning visual arts, anthropology, and biology to study animal behavior and ecology. His current work emphasizes large-scale acoustic data collection and analysis, with a particular interest in bird song and cultural evolution. Research interests include: Animal culture and its transmission mechanisms Acoustic ecology and biodiversity assessment using sound Machine learning applications in ecological research Data visualization and open science practices His publications highlight advancements in phylogenomic analysis, acoustic datasets for wild bird populations, and software tools like pykanto for bioacoustic research. He actively develops open-source tools to democratize data analysis in ecology. No scientific awards or grants are listed. He currently advises no students but collaborates widely in multidisciplinary teams. His primary affiliation is the Edward Grey Institute's Sheldon Group, where he integrates fieldwork and computational methods to understand animal behavior at ecological and evolutionary scales.
Nikolaus (Nik) Fortelny is a Group Leader in Computational Biology at the University of Salzburg, Austria, where he leads the Computational Systems Biology research group within the Department of Biological Sciences & Medical Biology. His research focuses on understanding biological systems at the molecular level through advanced computational approaches. Dr. Fortelny's research interests include: Computational Systems Biology Multi-omics data integration and analysis Single-cell and spatial biology Machine learning applications in biology Network science approaches to biological regulation Immune system modeling His recent publications demonstrate a strong focus on applying computational approaches to understand complex biological systems, particularly in immunology and cellular regulation. His work often involves collaboration with experimental biologists to generate and analyze large-scale datasets from multi-omics experiments collected at single-cell or spatial resolution. Dr. Fortelny is actively involved in research recruitment and is currently hiring for professor positions in Medical Systems Biology and Animal Physiology at the University of Salzburg, with an application deadline of April 19th, 2025. His group regularly seeks students, PhD candidates, postdocs, and staff scientists to join their team.
