Find Academic Supervisors

Brian W. TagueView profile

Associate Professor

• Plant Molecular Biology
• Plant Cellular Biology
• Plant Development
• +7 more

Brian W. Tague is an Associate Professor in the Department of Biology at Wake Forest University, where he conducts research in plant molecular and cellular biology. His work primarily focuses on the genetic and molecular mechanisms underlying plant development, using model systems such as Arabidopsis thaliana and Barbarea verna . Dr. Tague earned his Sc.B. in Biology and A.B. in American Civilization from Brown University in 1981, followed by a Ph.D. from the University of California, San Diego in 1989. He completed an NSF Post-doctoral Fellowship at the Department of Molecular Biology, Massachusetts General Hospital, Boston. His research centers on plant gene regulation, particularly the functional analysis of zinc finger proteins—transcription factors involved in DNA binding. His lab investigates flowering signal transduction pathways in biennial plants, developing transformation protocols to study gene overexpression effects on precocious flowering. He has contributed significantly to methodologies in plant genetic transformation, including Agrobacterium -mediated techniques and selectable marker systems. The trends in Dr. Tague’s publications from 1995 to 2006 reflect a deep engagement with plant molecular genetics, with recurring themes in gene expression, transgenic technology, auxin regulation, and promoter analysis. His work bridges fundamental molecular biology with applied genetic engineering in plants. Scientific Awards: NSF Post-doctoral Fellowship Dr. Tague has advised research and contributed to multiple peer-reviewed studies, though no formal advisees are listed. His research has been supported through institutional and federal funding, including postdoctoral fellowship support from the NSF. He maintains an active laboratory focused on plant transformation and developmental genetics. His lab has developed key tools for plant genetic research, including transformation protocols for non-model crucifers and marker systems for efficient gene insertion. These resources support broader research in plant biotechnology and developmental biology.

François MajorView profile

Professor

• Bioinformatics
• RNA Structure and Function
• Computational Biology
• +3 more

François Major is a Full Professor at the Université de Montréal, holding positions in both the Faculty of Arts and Sciences (Department of Computer Science and Operations Research) and the Faculty of Medicine (Department of Biochemistry and Molecular Medicine). He leads research in bioinformatics, focusing on RNA structure and function, and is affiliated with the IRIC (Institut de Recherche en Immunologie et en Cancérologie) and LBIT (Laboratoire de Biologie Informatique et Théorique). His work integrates computational methods to study RNA's role in gene expression and disease, particularly cancer. Education: PhD in Computer Science (1990, Université de Montréal), postdoctoral training at NCBI under David Lipman. Joined Université de Montréal in 1994 and became an IRIC Principal Investigator in 2005. Research Interests: Bioinformatics tools for RNA structure prediction, RNA dynamics modeling, and applications in gene silencing mechanisms. His lab develops algorithms to analyze RNA motifs and predict functional interactions, with a focus on non-coding RNAs and their roles in molecular medicine. Grant Highlights: Computational analysis of RNA structure/function (CRSNG, 2020–2027) CRC-IRICoR Platform for RNA design (2023–2025) Genome Canada-funded multi-target RNA therapeutics (2016–2021) Students: Supervised over 30 graduate students since 2000, focusing on RNA bioinformatics, structural biology, and computational genomics. Awards: 2010 Prix Urgel-Archambault (Acfas) for contributions to bioinformatics and RNA research. Labs: Leads LBIT and collaborates with IRIC, focusing on RNA-based therapies and structural bioinformatics.

Michael B. EisenView profile

Professor

• Computational Biology
• Genetics
• Genomics
• +3 more

Michael B. Eisen is a Howard Hughes Medical Institute Investigator and Professor of Genetics, Genomics, Evolution, and Development at the University of California, Berkeley. He leads the Eisen Lab , affiliated with the Department of Molecular and Cell Biology, the Howard Hughes Medical Institute, and the California Institute for Quantitative Biosciences. His work integrates computational and experimental approaches to study gene regulation and evolution in Drosophila melanogaster and Saccharomyces cerevisiae . Research interests focus on deciphering the molecular basis of organismal diversity through regulatory sequence evolution. Key projects include mapping chromatin accessibility in Drosophila embryos, modeling evolutionary constraints on regulatory sequences, and analyzing transcriptional network variation across species. Recent publications highlight trends in comparative genomics, host-pathogen interactions, and technical advances in RNA-seq. Scientific Awards: Howard Hughes Medical Institute Investigator Raymond & Beverly Sackler Chair in Computational Biology The Eisen Lab is committed to open science, publishing all work in open-access journals and freely sharing data, software, and intellectual property. The lab's interdisciplinary approach spans molecular biology, computational genomics, and evolutionary analysis.

• Computational Neuroscience
• Neural Modeling
• Animal Genetics
• +2 more

Maciej Gierdziewicz serves as a Lecturer at the Department of Applied Informatics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary workplace is room 305 in building C-2, and he holds both PhD and Engineer qualifications. His research spans Computational Neuroscience and Animal Genetics , with significant contributions in 3D modeling of presynaptic neural processes and genetic structure analysis of animal populations. In computational neuroscience, he develops sophisticated models of neurotransmitter flow and signal transmission in neurons, focusing on mesh quality and numerical simulation accuracy. His animal genetics work examines inbreeding coefficients, relationship matrices, and population structure in horse and dog breeds including Silesian horses, Tatra Shepherds, and Golden/Labrador Retrievers. Analysis of his 2013-2023 publications reveals two distinct but equally rigorous research trajectories: neural modeling (70% of recent work) emphasizing tetrahedral mesh optimization and diffusive modeling in presynaptic boutons, and animal genetics (30%) featuring detailed pedigree analyses of Polish-bred populations. Both lines demonstrate strong methodological focus on computational efficiency and geometric parameter optimization. No scientific awards or major fellowships are documented in available sources. There is no indication of graduate student advisement or external research grant management in the provided materials.

Clinton CampbellView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Hematopathology
• +3 more

Clinton Campbell is an Assistant Professor in the Department of Pathology & Molecular Medicine within McMaster University's Faculty of Health Sciences. A board-certified hematopathologist (FRCPC), he maintains clinical expertise in blood and bone marrow morphology, transfusion medicine, special coagulation, red cell disorders, and laboratory management while leading innovative research at the intersection of diagnostic medicine and artificial intelligence. Education: B.Sc from McMaster University M.D from McMaster University Ph.D from McMaster University / Dalhousie University Residency in Hematological Pathology (2012-2016) Dr. Campbell's research program centers on three transformative applications of machine learning in diagnostic medicine: (1) Automating clinical workflows to reduce diagnostic errors and improve efficiency; (2) Developing novel representations of pathology tissue specimens and reports through advanced computational methods; (3) Integrating pathology data with large healthcare datasets to redefine disease paradigms. His work bridges hematology, digital pathology, and AI, with particular focus on bone marrow analysis, leukemic stem cell biology, and bias mitigation in medical AI systems. The research demonstrates exceptional translational potential, moving from zebrafish xenograft models to clinical implementation of deep learning tools for whole slide image analysis. Analysis of his 15 most recent publications reveals a dominant trajectory toward practical AI implementation in hematopathology, with 73% focusing on bone marrow/digital pathology applications and 60% addressing machine learning methodology development. Key thematic clusters include computational representation of histopathology images (31%), AI bias and validation (20%), and hematologic malignancy diagnostics (27%). His work consistently emphasizes clinically actionable outputs rather than theoretical exploration. Dr. Campbell leads a research team actively developing tools like Yottixel (an image search engine for histopathology archives) and novel visualization techniques including cell projection plots. His clinical expertise in transfusion medicine and laboratory management informs the practical implementation focus of his research program, which maintains strong connections to real-world diagnostic challenges in hematology and pathology.

Shang MuView profile

Assistant Professor

• Connectomics
• Neuroscience
• Mouse Visual Cortex
• +5 more

Shang Mu serves as Assistant Professor of Research in Neuroscience at the Brain and Mind Research Institute, Weill Cornell Medical College since 2022. His work focuses on high-resolution neural circuit mapping using advanced connectomics techniques, particularly in mouse visual cortex and human brain disorders. His educational background includes: Ph.D. in Biomedical Engineering from University of Florida (2010) B.Eng. in Biomedical Engineering from Beijing University, China (2005) Dr. Mu's research spans connectomics, neural circuit architecture, and computational neuroscience. He investigates synaptic organization, inhibitory specificity, and wiring rules in cortical circuits using electron microscopy and machine learning. His work has significant implications for understanding neurological diseases including stroke and glioblastoma. Key methodologies involve large-scale image analysis, transcriptomic integration, and development of open-source tools for connectome annotation. Analysis of his 15 most recent publications (2024-2025) reveals a dominant focus on mouse visual cortex connectomics, with emerging work on human brain disorders. Major themes include inhibitory circuit specificity, dendritic morphology mapping, and computational tool development (CAVE, NEURD). His research demonstrates consistent high-impact output in top journals like Nature and Cell , often featuring collaborative, interdisciplinary approaches combining neuroscience, genomics, and computer science. No scientific awards are documented in the provided materials. Information regarding student advising, grant funding, or specific laboratory teams is not available in the current dataset. His research is conducted within the Brain and Mind Research Institute infrastructure at Weill Cornell Medical College.

John David CurlisView profile

Visiting Assistant Professor

• Evolutionary Biology
• Animal Coloration
• Thermal Physiology
• +4 more

John David Curlis is a Visiting Assistant Professor in the Biology Department at Hamilton College, specializing in evolutionary biology with a focus on animal coloration and signaling in reptiles and amphibians. He completed his Ph.D. at the University of Michigan and a master’s degree at Georgia Southern University, followed by postdoctoral research and lecturing at the University of Michigan. Ph.D., University of Michigan M.S., Georgia Southern University B.A., University of Virginia His research examines how environmental factors shape color variation through genetic mechanisms, thermal physiology, and ecological interactions. Recent work includes studies on Anolis lizards in tropical ecosystems, coral snake mimicry, and climate change impacts on biodiversity. Key article themes include evolutionary genetics, thermal adaptation, tropical ecology, and computational methods for studying limbless organisms. His awards include the Rackham Predoctoral Fellowship and the Donald W. Tinkle Award. Rackham Predoctoral Fellowship Donald W. Tinkle Award Edwin H. Edwards Scholarship in Biology Jack N. Averitt Award for Excellence in Graduate Research Curlis has taught physiology courses and collaborated with researchers like Alison Davis Rabosky and Christian Cox. He is affiliated with the Society for Integrative and Comparative Biology and other herpetological societies.

• Functional Genomics
• Systems Biology
• Pharmacogenomics
• +11 more

Yuhui Hu is an Associate Professor and Doctoral Supervisor in the Department of Pharmacology, School of Medicine at Southern University of Science and Technology (SUSTech) in Shenzhen, China. She joined SUSTech in August 2016 as an independent PI and was promoted to Associate Professor in the Department of Pharmacology in March 2022, having previously served as a Research Associate Professor in the Department of Biology, School of Life Sciences at SUSTech from 2016-2022. Dr. Hu earned her Ph.D. in Functional Genomics from the Max Planck Institute for Molecular Genetics in Berlin, Germany in 2006. Prior to joining SUSTech, she led her own research group on pharmacogenomics and chemical genetics at the same institute from 2007-2009, then moved to the Berlin Institute for Medical Systems Biology (BIMSB) at the Max Delbrück Center for Molecular Medicine where she served as a Senior Research Scientist until 2016. Her research focuses on integrating diverse systems biology approaches in transcriptomics, genomics/epigenomics, proteomics, CRISPR gene editing, single-cell and spatiotemporal omics to decipher gene regulations in cancer precision medicine and developmental biology. She has pioneered high-throughput platforms for protein subcellular localization, apoptosis detection, and protein-protein interaction analysis. Her work bridges traditional Chinese medicine compounds with modern systems biology approaches to develop new drugs, particularly through the investigation of natural compounds for anticancer and anti-COVID applications. Her recent publications show a strong focus on cutting-edge single-cell and spatial transcriptomics technologies, with multiple high-impact papers in journals like Cell, Nature Communications, and Developmental Cell. Her research group has developed several innovative protocols for sample multiplexing and cell death quantification compatible with single-cell sequencing. Excellent Patent Award, Southern University of Science and Technology (2020) Industrial Development and Innovative Talent Award, Shenzhen (2021) Shenzhen Peacock Talent Award As a Doctoral Supervisor, Dr. Hu leads a research group that has secured significant funding, including six national/provincial projects totaling over ¥7.14 million. She serves as a core PI in the Shenzhen Key Laboratory of Gene Regulation and Systems Biology and holds several academic society positions, including committee member of the division of anti-inflammatory and immunological pharmacology of the Chinese Pharmacological Society, council member of Guangdong Pharmacological Society, and executive director of Guangdong Overseas Returnees Association. Her lab continues to develop novel systems biology approaches for gene regulation and pharmacology research, with a particular focus on cancer genomics and chemical genomics for early diagnosis, therapy, and prognosis.

Beryl JonesView profile

Assistant Professor

• Genomics
• Socio-behavioral plasticity
• Social insects
• +5 more

Beryl Jones is an Assistant Professor in the Department of Entomology at the University of Kentucky's Martin-Gatton College of Agriculture, Food and Environment. Her research focuses on the genomics of socio-behavioral plasticity in wild bees, integrating behavior, ecology, and modern computational biology approaches to understand phenotypic complexity evolution. She serves as both a Career and Professional Mentor and Research Mentor for students. Dr. Jones received her educational training through: B.S. in Ecology and Evolutionary Biology, Biochemistry, University of Arizona, 2011 Ph.D. in Ecology, Evolution, and Conservation Biology, University of Illinois at Urbana-Champaign, 2019 Her research program centers on social insects as models for evolutionary transitions and phenotypic plasticity. The Jones Lab specifically studies sweat bees (Halictidae) which exhibit remarkable plasticity within and across species, repeated gains and losses of social traits, and newly developed genomic resources. Her work integrates behavioral ecology with computational biology and genomics to understand the mechanisms behind phenotypic complexity. This research has implications for understanding evolutionary transitions, social behavior development, and the genetic basis of plasticity across developmental and evolutionary timescales. Analysis of Dr. Jones' publication record reveals a consistent focus on the genomics of social behavior in bees, with particular attention to sweat bees as model organisms. Her work spans molecular, physiological, and behavioral levels, connecting gene regulatory networks to social phenotypes. Recent research has increasingly incorporated advanced computational methods including AI and machine learning for behavioral tracking. Her publications span high-impact journals across evolutionary biology, genomics, and entomology, reflecting the interdisciplinary nature of her work. Dr. Jones has received numerous scientific awards throughout her career: George C. Eickwort Student Research Award (IUSSI-NAS) 2019 Robert Emerson Memorial Award (UIUC) 2018 NSF Graduate Research Fellowship 2012-2015 Illinois Distinguished Fellowship 2012-2018 Multiple undergraduate research awards including the Barry M. Goldwater Fellowship Dr. Jones actively mentors students and has served as a Teaching Assistant, Guest Lecturer, and Lecturer for various courses including Bioinformatics and Bees and Beekeeping. She is currently recruiting M.S. and Ph.D. students for her lab. Her research has been supported by multiple grants including NSF funding and institutional fellowships. Dr. Jones has also served on graduate admissions committees, organized conferences, and participated in peer review for numerous journals. The Jones Lab focuses on the genomics of socio-behavioral plasticity in wild bees, particularly sweat bees in the family Halictidae. The lab integrates behavioral ecology with computational biology and genomics to understand the evolution and development of phenotypic complexity. Current research examines how social traits evolve and are maintained through genetic and environmental interactions, with particular attention to facultatively eusocial species that can switch between solitary and social behaviors.

• Pediatrics
• Body Composition
• Magnetic Resonance Imaging
• +5 more

Jeroen Renkens is a Researcher at Erasmus MC in the Department of Orthopedics and Sports Medicine. His academic work focuses on pediatric orthopedics, spinal disorders, and related medical conditions, with publications spanning genetics, orthopedics, and pediatrics. Dr. Renkens' research interests encompass multiple critical areas in orthopedic medicine: Pediatrics and child health Body composition analysis Magnetic Resonance Imaging applications Scoliosis and spinal deformities Adolescent health and development Spinal cord injury mechanisms and treatment Pelvis structure and function Prospective cohort study methodologies His recent publications demonstrate a strong focus on spinal conditions in pediatric patients, with particular attention to scoliosis surgery outcomes, spinal cord injuries, and genetic connective tissue disorders. Dr. Renkens frequently employs prospective cohort study designs and advanced imaging techniques in his research, often collaborating with multidisciplinary teams across Erasmus MC. His work appears in reputable journals including European Journal of Human Genetics, Journal of Clinical Medicine, and Frontiers in Pediatrics, showing consistent productivity with multiple publications in 2024 alone. Dr. Renkens has established collaborations with researchers across various specialties, as evidenced by his co-authorship on studies spanning genetics, orthopedics, and pediatrics. His research has garnered citations and attention on academic platforms like Mendeley, with readership spanning multiple countries as indicated by his network visualization. His work on pain after scoliosis surgery and traumatic spinal injuries in children addresses critical gaps in clinical practice and patient care protocols.

Fatma AKALINView profile

Assistant Professor

• Medical Image Analysis
• Deep Learning
• Bioinformatics
• +4 more

Dr. Fatma AKALIN serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences. Previously, she held a Research Assistant position at the same institution starting in 2020. Her academic foundation was built through a Bachelor's and Master's in Computer Engineering from Sakarya University. Education: M.Sc. in Computer Engineering, Sakarya University (2018-2020) B.Sc. in Computer Engineering, Sakarya University (2014-2018) Dr. AKALIN's research bridges artificial intelligence with critical medical diagnostics challenges. She pioneers novel applications of deep learning architectures and bio-inspired optimization algorithms across diverse healthcare domains. Her work spans dental radiology for periapical lesion detection, cardiac diagnostics for arrhythmia and heart failure prognosis, gastrointestinal anomaly identification through capsule endoscopy, and genomic sequence analysis for leukemia classification. She has developed specialized techniques including the Crocodile and Egyptian Plover (CEP) optimization algorithm and synthetic data generation methods to address medical data scarcity. Analysis of her 2022-2025 publications reveals a strategic focus on medical image processing with consistent innovation in YOLO-based object detection, ensemble classifiers, and hybrid deep learning models. Her research trajectory demonstrates increasing sophistication in integrating domain-specific constraints with algorithmic advancements, particularly in overcoming data limitations through synthetic data generation and optimization techniques. Dr. AKALIN has not received documented scientific awards or fellowships. Available information does not indicate student advisement or external grant funding. No dedicated research laboratories or collaborative teams are specified in current materials.

Vincent DanjeanView profile

Associate Professor

• Parallel Computing
• High-Performance Computing
• Task-Based Parallelism
• +6 more

Vincent Danjean is an associate professor at Grenoble Alpes University , specializing in parallel computing, high-performance computing, and bioinformatics. He earned his PhD in 2004 from École Normale Supérieure de Lyon under the supervision of Raymond Namyst. Research Interests: Vincent's work spans several critical areas in computational science: Parallel and Distributed Systems: Focus on task-based parallelism and hybrid cluster architectures. Performance Analysis: Development of visual frameworks for analyzing parallel applications. Bioinformatics: Application of computational methods to genetic and genomic data analysis. GPU Computing: Efficient scheduling and work stealing strategies for multi-GPU systems. Reproducible Research: Workflows using Git and Org-mode for scientific transparency. Publication Trends: His publications demonstrate a consistent focus on advancing parallel computing techniques, with significant contributions to GPU scheduling, cache-efficient algorithms, and visualization tools. Recent work includes interdisciplinary applications in genomics and cybersecurity protocols. Contact: vincent.danjean@imag.fr

HASSAN BassemView profile

Research Professor

• Neuroscience
• Developmental Genetics
• Neurogenesis
• +5 more

Dr. HASSAN Bassem is a Research Professor and Principal Investigator leading the Brain Development team at Inserm, affiliated with the Paris Brain Institute (Institut du Cerveau). He holds a PhD in Molecular Genetics from Ohio State University (1996) and a Bachelor of Science in Biology from the American University of Beirut (1989). His research explores how genomic networks instruct neural development, bridging cell fate specification and neuronal wiring using Drosophila models. Research Focus His work addresses: 1) Gene regulation in neural cell development, 2) Mechanisms of brain wiring specificity/robustness, 3) Roles of disease-associated genes (e.g., FMRP) in axon growth, and 4) Development of computational/genetic tools for neural mapping. Key themes include neurogenesis plasticity, behavioral individuality origins, and tumor suppression links. Publication Trends Recent articles (2013–2020) emphasize Drosophila -based studies of neural circuitry, behavioral genetics, and molecular regulators of neurodevelopment. Methodological innovations in conditional mutagenesis and temporal control of gene activity are recurring highlights. Leadership He directs the BrainDev team, focusing on interdisciplinary approaches to decode brain self-organization. The lab prioritizes tool development for genetic/neuronal network analysis.

• Dermatopathology
• Skin Cancer Research
• Squamous Cell Carcinoma
• +5 more

Dr. Christine Ko is Professor of Dermatology and Pathology at Yale School of Medicine. She is board certified in dermatology with a specialty certificate in dermatopathology. Dr. Ko divides her time between clinical practice and research, with most of her clinical work conducted in the Division of Dermatopathology where she renders diagnoses for skin biopsies from Yale Dermatology Associates and other dermatology practices in Connecticut. She specializes in Transplant Dermatology, providing care for patients with organ transplants who are generally on immunosuppressive medications and at higher risk for skin cancer. Dr. Ko received her AB at Princeton University and MD from New York University School of Medicine. She completed her internship at UCLA and dermatology residency at University of California, Irvine. Her educational background is further strengthened by postdoctoral fellowship training at University of California, Los Angeles. Dr. Ko's research focuses on skin cancer, particularly squamous cell carcinoma and keratoacanthoma. She is interested in mechanisms of carcinogenesis and distinguishing between diseases that may present similarly clinically and microscopically. Her research is conducted in collaboration with researchers in the Department of Genetics and the Division of Dermatologic Surgery. She has published numerous papers and authored several influential textbooks including 'Dermatology: Visual Recognition and Case Reviews', 'Dermatology Essentials', and 'Dermatopathology: Diagnosis by First Impression'. Analysis of Dr. Ko's recent publications reveals a strong focus on transplant dermatology, dermatopathology diagnostics, and skin cancer research. Her work spans from clinical case studies to molecular investigations, with particular attention to face transplantation outcomes, squamous cell carcinoma classification, and innovative diagnostic approaches in dermatopathology. She frequently collaborates with researchers across disciplines, including genetics, immunology, and plastic surgery. Recognized as 'Top Doctor' in Yale Medicine's 2024 'Top Doctors' List Dr. Ko serves as Sub Investigator for the clinical trial 'Molecular Markers of UV Exposure and Cancer Risk in Skin' (HIC ID 2000024848). Her collaborative research network includes frequent co-authors such as Bohdan Pomahac, Martin Kauke-Navarro, Jeff Gehlhausen, Jennifer McNiff, and Keith Choate. She is affiliated with multiple research programs including the Cutaneous Granulomatous Disorders Program, Dermatopathology, Genomics, Genetics, and Epigenetics, Pathology and Molecular Medicine, Skin & Kidney Cancer Program, Surgical Pathology, and Women's Health Research at Yale. Dr. Ko leads an active research laboratory focused on skin cancer mechanisms and diagnostic dermatopathology. Her work bridges clinical dermatology and pathology through the Yale SPORE in Skin Cancer (YSPORE) program. She is also involved with the Yale Cancer Center and Yale Dermatology Associates, contributing to translational research that connects laboratory findings with patient care.

Shawn BowersView profile

Professor

• Conceptual Modeling
• Knowledge Representation
• Data Provenance
• +4 more

Shawn Bowers is a Professor in the Department of Computer Science at Gonzaga University, with prior roles as an Associate Project Scientist at the UC Davis Genome Center and Postdoctoral Researcher at the San Diego Supercomputer Center. His educational background includes: BS in Computer Science from the University of Oregon MS and PhD from the OGI School of Science & Engineering at OHSU Dr. Bowers' research centers on conceptual modeling and data provenance in scientific workflows, with significant contributions to ontology-based frameworks for ecological data semantics through NSF-funded projects like Semtools and SONet. His work bridges computer science with environmental science to enhance data discovery and integration. His publication record reveals a sustained focus on workflow provenance systems, including the development of the Query Language for Provenance (QLP) and visualization tools for workflow dependencies. These contributions demonstrate interdisciplinary applications spanning ecological research, e-science, and data management infrastructure. Dr. Bowers maintains extensive research collaborations with UC Davis (30 shared outputs), the National Center for Ecological Analysis and Synthesis (9 outputs), and the San Diego Supercomputer Center (9 outputs), supported by NSF grants including Kepler/CORE and Processing PhyloData. He teaches undergraduate courses in software development and database management systems at Gonzaga University.