Ferran Garcia-Pichel is a Regents Professor and Center Director at Arizona State University’s School of Life Sciences, affiliated with the Biodesign Center for Fundamental & Applied Microbiomics, Center for Biodiversity Outcomes, Water Institute, and Global Drylands Center. He holds a PhD in Microbiology from the University of Oregon (1999) and has been a faculty member at ASU since 1999. His research focuses on microbial adaptations in arid environments, including biogeochemical cycling, soil crust formation, and sustainable land restoration. Key interests include cyanobacterial sunscreen compounds (scytonemin), carbonate dissolution mechanisms, and hydrogen production. Teaching responsibilities include advanced microbiology, microbial ecology, and geomicrobiology courses such as MBB 495 Undergraduate Research and BIO 493 Honors Thesis. Awards span from the 2021 Regents Professor distinction to the 2023 Sperry Award for restoration science. His lab explores interdisciplinary approaches to study microbial communities in desert soils, marine intertidals, and atmospheric dust, with applications in climate resilience and biomedicine. Research highlights include biocrust restoration strategies, microbial nitrogen fixation networks, and the role of GABA/Glu signaling in spatial organization. Collaborations address global challenges like fugitive dust mitigation and carbon sequestration. The lab is based at the Biodesign Building B on ASU’s Tempe campus.
Bjorn Sandstede is the Alumni-Alumnae University Professor of Applied Mathematics at Brown University. His research focuses on applied dynamical systems, nonlinear waves, pattern formation, and computational biology. He holds a PhD from the University of Stuttgart and has held faculty positions at The Ohio State University and the University of Surrey before joining Brown in 2008. Sandstede has received numerous awards, including the SIAM J.D. Crawford Prize and the Royal Society Wolfson Research Merit Award. He served as Department Chair at Brown and directed the Data Science Initiative. His work involves interdisciplinary collaborations, such as modeling zebrafish stripe formation and developing computational tools like SCOT for single-cell data integration. Sandstede also mentors extensively, advising over 30 PhD students and postdoctoral researchers. He leads the NSF-funded Institute for Computational and Experimental Research in Mathematics (ICERM) and contributes to initiatives promoting diversity and inclusion in STEM. Education: PhD in Mathematics, University of Stuttgart Undergraduate Degree, University of Heidelberg Research Interests: Applied Dynamical Systems Nonlinear Waves and Pattern Formation Computational Biology Data Science PDE Analysis Awards and Recognition: Alfred P. Sloan Research Fellowship SIAM J.D. Crawford Prize Royal Society Wolfson Research Merit Award Elsevier Jack Hale Award Teaching Excellence Awards from Brown University Fellow of the AMS and SIAM Grants and Leadership: Principal Investigator of NSF grant establishing ICERM Director of Brown's Data Science Initiative Member of Research Advisory Board and Tenure Committees Labs and Teams: Leads the Sandstede Lab at Brown, focusing on computational biology and dynamical systems. Collaborates with the Volkening Lab on zebrafish pattern modeling and the Singh Lab on optimal transport methods.
Rachel Sippy is a Research Fellow at the University of Cambridge , specializing in epidemiology and infectious disease dynamics within the Department of Psychiatry . Her work bridges public health, climate science, and computational methods.
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.
Sudin Bhattacharya is an Associate Professor at the BioMolecular Science Gateway, Michigan State University, with affiliations in the Genetics & Genome Sciences Program and Cell & Molecular Biology Program. His research bridges computational biology and toxicology to understand complex biological systems. Email: sbhattac@msu.edu Research Interests Dr. Bhattacharya specializes in systems toxicology, focusing on computational modeling of gene regulatory networks, single-cell transcriptomics, and molecular dynamics in response to environmental toxicants. His work examines how chemical exposures disrupt cellular pathways and contribute to disease mechanisms. Article Trends His recent publications emphasize: Single-cell and single-nucleus RNA sequencing for toxicological profiling Computational models of circadian rhythms and intercellular communication Dose-dependent responses to environmental chemicals like TCDD and heavy metals Mechanistic studies of adipose tissue remodeling and hypertension Applications of machine learning in chemical risk assessment Integrative approaches to liver metabolism and disease modeling Scientific Contributions Dr. Bhattacharya has pioneered multiscale modeling of biological systems, particularly in hepatic and vascular contexts. His work on the aryl hydrocarbon receptor and PPARα signaling networks has advanced predictive toxicology frameworks.
Vernita Gordon is an Associate Professor in the Department of Physics at the University of Texas at Austin (since 2018), previously serving as an Assistant Professor there from 2010 to 2018. She holds a Ph.D. in Physics from Harvard University (2003) and a B.Sc. in Physics and Mathematics from Vanderbilt University (1997). Her research focuses on understanding how physical characteristics like mechanics and spatial structure influence bacterial biofilms, particularly their interactions with the immune system and resistance to antibiotics. She has pioneered techniques such as laser trapping to manipulate biofilm structures and studies radiation effects on bacteria like Deinococcus radiodurans . Education: Ph.D. in Physics, Harvard University (2003) B.Sc. in Physics and Mathematics, Vanderbilt University (1997) Research Interests: Dr. Gordon’s work integrates biophysics, microbiology, and materials science to explore biofilm mechanics, bacterial mechanosensing, and radiation biology. Key areas include: How biofilm mechanics resist immune clearance and antibiotic treatment Role of surface stiffness and shear stress in biofilm initiation Radiation resistance mechanisms in Deinococcus radiodurans Development of tools like laser trapping to study biofilm structure Key Achievements: Recipient of the Elizabeth B. Gleeson Professorship (2023) and Texas Mindset Initiative Fellowship (2023) Provost’s Teaching Fellow (2020–2024) and multiple teaching awards Funded by NSF, NIH, and Cystic Fibrosis Foundation Published over 60 peer-reviewed articles, including in Nature , PNAS , and Biophysical Journal Advising & Outreach: She mentors graduate students in Physics, Microbiology, and Biomedical Engineering, emphasizing interdisciplinary training. Her group actively recruits undergraduates and collaborates with industry partners like Solvay and the College of Pharmacy. Outreach includes lesson plans for high school STEM education and community science initiatives. Labs & Collaborations: Her lab uses advanced microscopy, microrheology, and computational modeling. Key collaborations include work with the Contreras Lab (UT Austin Chemical Engineering) on radiation-resistant bacteria and the Raizen Lab (UT Austin Physics) on self-sterilizing surfaces.
Dr. Qin Li is an Assistant Professor of Genetics at the University of Pennsylvania Perelman School of Medicine, affiliated with the Penn Institute for Immunology & Immune Health (I3H), the Penn Institute for RNA Innovation, and the Penn Center for Genomic Integrity. He earned his BS and PhD in Biological Science and Biochemistry & Molecular Biology from Peking University, followed by postdoctoral training at Stanford University. Education : BS (Peking University, 2009), PhD (Peking University, 2014) Dr. Li’s research focuses on the ADAR1-dsRNA-MDA5 axis, exploring how RNA editing mediates self/non-self discrimination in the immune system. His work connects RNA editing quantitative trait loci (edQTLs) to inflammatory disease heritability and develops computational/experimental tools for RNA editing and sensing. Recent publications highlight his contributions to understanding RNA editing’s role in autoimmune diseases, CRISPR-based regulatory principles, and novel RNA ligand engineering. He mentors PhD and Master’s students in Bioengineering, Cell and Molecular Biology, and related programs.
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.
Prof. Dr. med. Franz Lennard Ricklefs is a Senior Physician and Head of the Working Group at the Department of Neurosurgery, University of Hamburg Faculty of Medicine. He is a Medical Specialist in Neurosurgery with cross-disciplinary expertise in neuro-oncology, molecular pathology, and extracellular vesicle research. Affiliations: University Medical Center Hamburg-Eppendorf (UKE), European Liquid Biopsy Society (ELBS), International Consortium on Meningiomas (ICOM) Research Interests: His work focuses on neurosurgical oncology, particularly glioblastoma and meningioma pathobiology. He investigates DNA methylation patterns, extracellular vesicle biomarkers, and liquid biopsy implementation in clinical neuro-oncology. Additional interests include surgical outcomes for epilepsy and aneurysm management. Article Trends: Over the last decade, Dr. Ricklefs has published extensively on: Extracellular vesicle applications as liquid biopsy markers DNA methylation subclasses for glioblastoma and meningioma Multicenter surgical outcome benchmarking Immune evasion mechanisms in neuro-oncology Technological innovations in neurosurgical visualization Molecular characterization of rare CNS tumors Professional Contributions: He co-authored the MISEV2023 guidelines for extracellular vesicle studies and participates in international consensus reviews for meningioma classification. His collaborations span institutions across Europe and North America.
Dr. Richard Gault is a Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast. His research focuses on computer vision and deep learning applied to microscopy data, particularly in medicine, health, and life sciences. He leads a team developing novel methods for medical image analysis, including histopathology and digital pathology, with applications in cancer diagnosis and environmental science. He is actively involved in teaching, having received Excellence in Teaching awards from Queen's University Belfast in 2019 and 2022. His work bridges computational intelligence and healthcare, with notable contributions to AI-driven diagnostics, stain normalization in histopathology, and multimodal data fusion. Dr. Gault's research interests include ensemble learning, fuzzy systems, and generative models like diffusion networks. He supervises multiple PhD students and has mentored graduates now working in machine learning engineering and postdoctoral research. His team’s achievements include awards such as the 2023 Best Oral Presentation at the Pan Ireland Ophthalmology Day and a 2021 Best Paper Award from his school. Key contributions include the LymphoSight AI application for detecting lymphoid structures and HistoClean , open-source software for improving CNN development in histopathology. He has been recognized as a Senior Member of IEEE and a Fellow of the Higher Education Academy. His work is supported by grants such as the R5131ECI project on 3D quantifier approximation via 2D video analysis (2019–2025). He actively engages in academic activities, including conference organization and PhD external examinations across Europe.
Professor David Taubman is a distinguished academic serving as Professor and Deputy Head of School (Research) at the School of Electrical Engineering and Telecommunications (EE&T) at the University of New South Wales (UNSW) in Sydney, Australia. He is also co-director of Kakadu Software Pty. Ltd. and its affiliates Kakadu R&D and Kakadu GPU. With a career spanning over three decades, Professor Taubman has made significant contributions to the field of image and video compression, most notably as the author of the EBCOT coding algorithm adopted in the JPEG2000 international standard. Professor Taubman earned his B.Sc. in Mathematics and Computer Science (1986) and B.E. (Medal) in Electrical Engineering (1988) from the University of Sydney, followed by an M.Sc. (1992) and Ph.D. (1994) in Electrical Engineering from the University of California at Berkeley. His professional journey includes engineering work at the Electricity Commission of N.S.W. (1988-1990), research positions at Hewlett-Packard Laboratories in Palo Alto (1994-1998), and an academic career at UNSW where he progressed from Senior Lecturer (1998-2003) to Associate Professor (2004-2009) and finally to Professor (2009-present). He has held various leadership roles including Head of the EE&T Telecommunications Research Group (2003-2014), Head of the EE&T Signal Processing Research Group (2014-present), Director of Research for the School of EE&T (2011-2016), and Deputy Head of School (Research) since 2017. Professor Taubman's research interests center on image and video compression, with particular expertise in JPEG2000 standards and implementations. His work spans signal processing, wavelet transforms, scalable video coding, motion modeling, and multimedia systems. He has pioneered numerous compression algorithms and frameworks, including the EBCOT coding algorithm that became central to the JPEG2000 standard. His recent research focuses on efficient motion modeling with cuboidal partitioning, learned lifting-based transform structures, and high-throughput implementations of JPEG2000 for video applications. His work bridges theoretical foundations with practical implementations, as evidenced by the commercially successful Kakadu Software tools that have garnered around 500 commercial licensees. Analysis of Professor Taubman's recent publications reveals a consistent focus on advancing compression technologies with particular emphasis on scalability, efficiency, and adaptability. His work spans traditional image compression (JPEG2000 extensions), video coding (cuboid-based partitioning for UHD/360-degree video), and emerging applications (nanopore sequencing data compression). A notable trend is the integration of machine learning techniques with traditional compression frameworks, as seen in his work on learned lifting-based transform structures. His research maintains strong connections to real-world applications across diverse domains including medical imaging, astronomical data processing, and genomic sequencing. IEEE Fellow Engineers Australia Fellow (by invitation) Professor Taubman has served as Associate Editor for the IEEE Transactions on Image Processing for two four-year appointments (2003-2005 and 2010-2013). He has been actively involved in numerous research grants focused on image and video compression technologies, particularly those related to the JPEG2000 standard and its extensions. His work has received significant industry support, reflected in his consultancy with various U.S., Japanese, and Australian corporations. He has also contributed to international standards development as a member of Standards Australia Technical Committee MS-065 (mirroring ISO TC42 on Digital Photography) and as a constitutional member of Standards Australia Technical Committee IT-029 (Coded Representation of Picture, Audio and Multimedia/Hypermedia Information). Professor Taubman co-directs Kakadu Software Pty. Ltd. and its research affiliates Kakadu R&D and Kakadu GPU, which have developed the commercially successful Kakadu Software tools for JPEG2000. His research group at UNSW focuses on advanced image and video compression techniques, with particular expertise in wavelet-based methods, scalable coding, and motion modeling. The group maintains strong industry connections and has contributed significantly to the development and standardization of image compression technologies worldwide.
Nathan G. Swenson is a Professor in the Department of Biological Sciences at the University of Notre Dame and serves as the Gillen Director of the Environmental Research Center (UNDERC). He has held prior academic positions at the University of Maryland and Michigan State University, advancing from Assistant to full Professor. His research integrates genomics, ecology, and evolutionary biology to understand forest biodiversity and dynamics. Research Interests: Ecology and Environmental Biology Evolutionary Biology Genetics and Genomics Global Change Biology Forest Ecology Functional and Phylogenetic Ecology Tree Physiology and Demography His research focuses on leveraging intra- and interspecific variation in tree performance to predict forest biodiversity patterns. He employs integrative approaches from genomes to forest canopies and utilizes large-scale global datasets. Recent publications emphasize intraspecific trait variation, transcriptomic responses to drought, ecological forecasting, and functional group dynamics in tropical and temperate forests. Scientific Awards: Winner of 2017 British Ecological Society John Harper Prize (awarded to J. Zambrano; Swenson was senior author) Advising and Grants: Dr. Swenson has mentored numerous researchers, including M.N. Umana, S.J. Worthy, and J. Yang, who frequently co-author high-impact papers. His lab receives substantial research funding, evident from large collaborative projects and participation in global networks like ForestGEO and the TRY plant trait database. He has secured support for long-term ecological research, genomic studies, and international fieldwork. Labs and Teams: He leads the Swenson Lab, which conducts research on woody plant ecology in dynamic environments. The lab emphasizes community transcriptomics, functional trait analysis, and large-scale ecological modeling. It collaborates widely across institutions and is involved in major initiatives such as ForestGEO and NEON.
Guizhen Zhao is an Assistant Professor at the University of Houston College of Pharmacy , Department of Pharmacological and Pharmaceutical Sciences. Her research focuses on epigenetic and molecular mechanisms in cardiovascular diseases (CVD), particularly aortic aneurysm, dissection, and atherosclerosis, with a goal to drive drug discovery innovations. Major research areas: Metaboloepigenetic properties of vascular cells, chromatin remodeling, vascular cell crosstalk Methodologies: bulk RNA-seq, single-cell RNA-seq, ChIP-seq, ATAC-seq, spatial transcriptomics, metabolomics Ongoing projects include studying BAF60c-dependent epigenetic modifications in smooth muscle cell biology, BAF60c-mediated iPSC differentiation, BAF60a in endothelial dysfunction, and vascular cell interactions in CVD development. Scientific contributions include 15+ publications on abdominal aortic aneurysm, atherosclerosis, and chromatin remodeling mechanisms, with recent work on adenosine kinase inhibition and KLF11 as therapeutic targets. 2023-25: Career Development Award, American Heart Association 2021-22: Postdoctoral Fellowship, American Heart Association 2019: Young Investigator Award, American Heart Association
Thomas Walter is a Professor at Mines ParisTech and Director of the Centre for Computational Biology (CBIO) , a research group affiliated with the Institut Curie and INSERM . His work focuses on applying Machine Learning and Computer Vision to biomedical image analysis, particularly in high-content screening and computational pathology . He also serves as Deputy Director of the Computational Oncology (U1331) unit and leads the Statistical Learning and Modeling of Biological Systems team. PhD in Medical Image Analysis (2003, Mines ParisTech) Postdoctoral work at EMBL (European Molecular Biology Laboratory) Director of CBIO since 2018 Holder of a PRAIRIE Chair (Paris Artificial Intelligence Research Institute) since 2019 Dr. Walter's research bridges biomedical imaging , machine learning , and cancer genomics . Key areas include: Statistical reconstruction of biological networks Prediction of tumor progression at genomic/transcriptomic levels Development of deep learning methods for cell cycle analysis Integration of multi-omics data for precision oncology Tools for spatial transcriptomics (e.g., autoFISH, RNA2seg) Recent publications highlight his work in spatial transcriptomics , immunotherapy outcome prediction , and deep learning for digital pathology . His team has developed open-source tools like FISH-quant and pyHiM for single-molecule RNA imaging analysis. Scientific Honors: PRAIRIE Chair (2019) for AI research in life sciences Dr. Walter actively contributes to teaching deep learning for image analysis in multiple graduate programs across France, including courses at Mines ParisTech , Université Paris-Saclay , and Institut Curie . His software tools (FISH-quant, pyHiM) and methodological frameworks (e.g., Cut-Detector, PointFISH) have become standard resources in bioimage informatics.
Ueli Grossniklaus is an Ordinary Professor at the University of Zurich within the Faculty of Mathematical and Natural Sciences , affiliated with the Department of Plant and Microbiology . His work focuses on plant developmental biology, particularly epigenetic and genetic mechanisms governing reproduction and adaptation. Key Courses: Epigenetics, Plant Biology Workshop, Group Seminars on Current Research Laboratory Techniques: Advanced methods in plant cell mechanics, transcriptomics, and genome editing Research Interests span plant epigenetics, reproductive biology, and the interplay between environmental stress and genetic regulation. He investigates: Mechanistic control of gametogenesis and fertilization Epigenetic contributions to plant adaptation Evolutionary implications of asexual reproduction Biophysical forces in plant cell growth Publication Trends (2025–2018) reveal expertise in: Arabidopsis and fern model systems Epigenetic regulation (DNA methylation, histone dynamics) Apomixis and hybrid seed failure mechanisms Biomechanics of pollen tubes and carnivorous plants Genome editing tools (CRISPR) and long-read sequencing Scientific Collaborations include interdisciplinary projects on: Microfluidic devices for plant cell analysis Gene drive ecology and ethics 3D imaging of plant reproductive structures Advising and Grants focus on mentoring through research internships in developmental biology, genetics, and systems biology. His lab engages in: Epigenetic response to environmental stress Cell wall mechanics in reproduction Computational modeling of plant growth Laboratory Teams integrate plant biologists, bioengineers, and computational scientists to study: Mechanistic gene regulation Evolutionary developmental biology Microrobotics for cellular force measurement
