Katy Börner is a Professor affiliated with Indiana University, Bloomington, USA. Her research focuses on data visualization, scientometrics, and the science of science, with contributions to tools like Network Workbench (NWB) and Sci2. She leads interdisciplinary projects such as the Human Reference Atlas and explores visualization literacy in education and public health. Her work spans virtual reality applications, biomedical knowledge networks, and AI-driven scientific discovery. Key research interests include mapping scientific collaboration networks, analyzing scholarly publications, and developing visualization frameworks for big data. She collaborates widely with institutions like NIH and VIVO, advancing open science and interdisciplinary research. Her projects often bridge computational methods with human-centric design, enhancing understanding of complex systems in health, technology, and social sciences. Publications highlight innovations in interactive visualization tools (e.g., opioid crisis research networks), data integration (Human Reference Atlas), and AI applications in biomedical research. She emphasizes translating data into actionable insights through visual analytics, impacting policy, education, and healthcare.
Dr. Anton Lavrinienko is a Lecturer at the Department of Health Sciences and Technology at ETH Zürich, affiliated with the Biotechnology of Food Systems group. His research focuses on microbiome studies, environmental health, and the impact of pollution and radiation on ecosystems and microbiota. He is based in Zurich, Switzerland, and teaches the course Applied Bioinformatics: Microbiomes (Autumn Semester 2025). His work integrates molecular biology, ecology, and public health to address challenges in food systems and environmental sustainability. Research interests include microbial diversity in polluted environments, radiation effects on wildlife, and the application of genomics to biodiversity conservation. He collaborates on projects such as the European Reference Genome Atlas and studies microbial responses to anthropogenic contamination in urban and natural ecosystems. Dr. Lavrinienko’s studies often involve fieldwork in regions like Chernobyl, investigating how chronic radiation and metal pollution alter microbiota and organismal health. His findings contribute to understanding ecological resilience and human health implications of environmental stressors. He emphasizes open data standards and FAIR principles in microbiome research.
Professor Andrzej Aksamitowski serves at the Institute of Political and Security Sciences within the Faculty of Humanities at the University of Szczecin, where he maintains active research and academic duties. His distinguished career spans decades of scholarly contribution to military history and security studies, including prior leadership roles as Head of the Department of Conflict and Peace Studies (2012-2019) and significant positions at Poland's National Defence University and Military Historical Institute in Warsaw. Aksamitowski's research program centers on national security frameworks, historical military operations, and the specialized field of military cartography. His expertise in fortification systems and armed conflict analysis bridges historical scholarship with contemporary security applications, particularly through his innovative integration of geographic information into military history. This interdisciplinary approach has established him as a leading authority on 20th-century Polish military engagements and cartographic documentation of warfare. His publication trajectory from 1992-2014 reveals a sustained focus on World War II military campaigns, with particular emphasis on Polish defensive operations and North African theaters. Aksamitowski's signature contribution lies in historical atlases that combine rigorous archival research with precise cartographic representation, creating indispensable reference works for understanding battle dynamics and strategic decision-making. These publications consistently demonstrate his methodological innovation in visualizing complex military operations through specialized mapping techniques. Professional recognition includes: Silver Cross of Merit (1992) Gold Cross of Merit (2000) Medal of the National Education Commission (2005) Honorable Mention for Historical Book of the Year (2019) While specific graduate student mentorship details remain undocumented in public sources, Aksamitowski's institutional leadership roles—including departmental head positions and editorial responsibilities for major reference works—demonstrate substantial academic supervision capacity. His current work at the University of Szczecin continues to advance security studies through the Institute of Political and Security Sciences, where he contributes to both teaching and research infrastructure development in national security disciplines.
Christine Kooi is the Lewis, Katheryn and Benjamin Price Professor of European History at Louisiana State University (LSU), affiliated with the College of Humanities & Social Sciences and the Department of History. Her work focuses on the Reformation in the Low Countries (1500-1620), religious tolerance in early modern Europe, and Catholic-Protestant dynamics. She teaches courses on early modern Europe, the Dutch Republic, and gender history. Education: B.A. summa cum laude, The College of Saint Rose (1987) M.A. and Ph.D., Yale University (1993) Her research explores religious coexistence in Calvinist-dominated regions, particularly Catholic survival strategies in Dutch Golden Age society. She has held prestigious fellowships at the H.H. Meeter Center for Calvin Studies (2021) and Amsterdam’s Protestant Heritage Centre (2019), and received the Carl Meyer Prize (1993). Her book Calvinists and Catholics during Holland’s Golden Age (2012) examines interconfessional relations, while recent work addresses the legacy of the Synod of Dordrecht (2020). Her publications span journals like Archive for Reformationsgeschichte and Sixteenth Century Journal , with chapters in major edited volumes such as Cambridge Companion to the Dutch Golden Age . She serves on the editorial board of the Sixteenth Century Journal . Awards & Grants: Netherlands Institute for Advanced Study Resident Fellow (2003) Louisiana Board of Regents ATLAS Grant (2007–2008) Her work bridges local case studies (e.g., Leiden’s church discipline debates) with broader themes of religious conflict, conversion, and state-religion interactions in early modern Europe.
Griffin Weber, M.D., Ph.D., is an Associate Professor of Medicine and Biomedical Informatics at Harvard Medical School (HMS) and Beth Israel Deaconess Medical Center (BIDMC). He directs the Biomedical Research Informatics Core (BRIC) at BIDMC. His research focuses on expertise mining, social network analysis, and biomedical informatics. Key contributions include developing Profiles RNS (an open-source research networking platform) and i2b2 / SHRINE federated query tools for clinical data. He holds MD and PhD degrees from Harvard (2007), and earlier degrees in bioengineering and computer science. Education: SB in Bioengineering (Harvard, 2000), SM/PhD in Computer Science (Harvard, 2004/2005), MD (Harvard, 2007). He served as Harvard Medical School's first Chief Technology Officer, building educational platforms for 500+ courses. His work spans DNA microarrays, breast cancer tumor modeling, and EHR bias analysis. Research Interests: Leveraging informatics to improve healthcare through federated data systems, team science dynamics, and EHR analysis. Projects include Profiles RNS for researcher networks and i2b2 for clinical data queries across institutions. He explores biases in EHR data filtering and visualizing healthcare system dynamics in biomedical data. Grant Leadership: Principal investigator on NIH grants addressing EHR biases (R01LM013345), healthcare system dynamics (U01CA198934), and scientific workforce networks (U01GM112623). Collaborator on PCORI and NIH-funded initiatives. Awards: 2020 Fellow of the American College of Medical Informatics; 2011 Top Podium Presentation (AMIA); 2007 Medical Technology Award (Massachusetts Medical Society). Labs/Teams: Leads BRIC at BIDMC, collaborates on i2b2/SHRINE, and contributes to the 4CE consortium for federated healthcare data analysis.
Young-Hee Lee is a Ph.D. candidate and Lecturer at the Technical University of Munich (TUM), affiliated with the TUM School of Engineering and Design and the Institute for Communications and Navigation. Her research focuses on proteomics, with emphasis on protein citrullination dynamics, phosphoproteomics in cancer diagnostics, and advanced mass spectrometry techniques. Her recent work includes the development of high-throughput proteomic workflows for ischemic stroke biomarker discovery and the application of deep learning to enhance citrullination identification. She contributes to methodological innovations in peptide extraction and single-cell proteomics sensitivity. Lee is part of the Chair of Communication and Navigation led by Prof. Christoph Günther, located at Theresienstraße 90, Munich. Her research bridges computational biology and biochemical analysis, with applications in cancer, neuroscience, and viral proteomics.
Jean Fan, PhD is an Assistant Professor of Biomedical Engineering at Johns Hopkins University, affiliated with the Center for Computational Biology and Institute for Computational Medicine. Her research focuses on developing machine learning methods to analyze spatially resolved and single-cell omics data. Her team, the JEFworks Lab, creates open-source tools for analyzing high-dimensional biological data to understand cellular identity, tissue organization, and disease progression. Dr. Fan's work bridges computational biology with clinical applications, particularly in leukemia and pediatric brain cancers. Education: BS in Biomedical Engineering & Applied Math from Johns Hopkins (2013); PhD in Bioinformatics from Harvard Medical School (2018); Postdoc in Chemical Biology/Physics at Harvard (2018–2020) under Xiaowei Zhuang, focusing on spatial transcriptomics. Research emphasizes spatial genomics and computational tool development, with key contributions to spatial alignment algorithms (STalign), normalization techniques, and cell-type deconvolution methods. Her lab's work has advanced understanding of kidney ischemic injury, glioblastoma spatial dynamics, and CLL pathogenesis. Awards include Forbes 30 Under 30, NSF CAREER Award, and 2025 PECASE. She founded CuSTEMized, a nonprofit providing STEM storybooks for girls. Recent collaborative projects include HuBMAP 3D reference atlas construction and Discovery Award-funded interdisciplinary initiatives. Labs/Teams: JEFworks Lab (primary); active collaborations with Dana-Farber Cancer Institute and Harvard Medical School. Current efforts focus on spatially resolved multi-omic integration and clinical translation of computational tools.
Haynes Heaton is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University. He holds a Ph.D. in Computational Biology from Cambridge University, an M.D. from Brown University, and a B.S. in Computer Science from Brown University. His interdisciplinary work bridges computational methods with biomedical applications, focusing on genomic technologies for malaria research and single-cell analysis. Research interests include genome sequencing of malaria vectors (e.g., Anopheles mosquitoes), development of bioinformatics tools (e.g., LCSKPOA, Souporcell), and structural variation analysis in human and pathogen genomes. His work has contributed to chromosomal reference genomes for multiple malaria mosquitoes, advancing understanding of vector biology and disease transmission. Publications highlight innovations in genome assembly, single-cell RNA-seq deconvolution, and computational methods for genomic data analysis. While no explicit awards are listed, his research has been featured in Auburn Engineering news for breakthroughs in leukemia diagnostics via software development. He collaborates with medical and computational teams to translate genomic insights into clinical applications. No advising records or grants are explicitly detailed in the provided text.
Jan G. Bjaalie is Professor of Neuroinformatics and Dean of Research and Innovation at the University of Oslo Faculty of Medicine . Since 2023 he heads the faculty’s research and innovation strategy, while directing the Neural Systems and Graphics Computing Laboratory at the Institute of Basic Medical Sciences. Education: 1990 Ph.D. in Neuroanatomy, University of Oslo 1986 M.D., University of Oslo Research interests revolve around collaborative and open neuroscience, digital brain atlasing, and the cyber-infrastructures that enable data sharing. He leads efforts to build next-generation atlases that integrate multi-scale brain architecture and connectivity data, and to develop ontologies and FAIR-compliant platforms for global neuroscience. Recent work emphasizes in silico integration of rodent and human imaging datasets, leveraging machine-learning registration tools and cloud-based services such as EBRAINS. The goal is to transform how brain data are stored, visualised and reused across laboratories worldwide. Scientific output & impact: A scan of publications from 2023-2025 reveals a strong focus on digital atlas frameworks, automated image registration (DeepSlice, DeMBA), open data standards (AtOM ontology), and large-scale analyses of genetic influences on brain structure in Alzheimer’s models. These works collectively advance reproducible, high-throughput neuroanatomy and cross-species translation. Grants & leadership roles: Coordinator/Partner in EU Flagships EBRAINS 2.0, BRAIN Health, Human Brain Project (2013-2026) Infrastructure Director, Human Brain Project (2018-2023) Leader of Neuroinformatics Platform & EBRAINS Data Services (2017-2023) Head of Institute of Basic Medical Sciences (2009-2016) Executive Director, International Neuroinformatics Coordinating Facility (INCF) (2006-2008) Chair, International Brain Initiative (2021-) Editorial & governance service: Founding Chief Editor Frontiers in Neuroinformatics (2007-), Section Editor Brain Structure and Function (2002-2020), member of the INCF Governing Board and EBRAINS AISBL Management Board, and numerous international advisory panels on data governance and ethics. His laboratory hosts the Norwegian Neuroinformatics Node and collaborates closely with global consortia to deliver open-access atlases, software pipelines and FAIR data standards that underpin modern neuroscience.
Asha Venkatesh is a Senior Lecturer at the University of Aberdeen, School of Medicine, Medical Sciences and Nutrition, where she plays a key role in anatomy education and academic leadership. She serves as Course Coordinator for Year 2 MBChB Anatomy, Assessment Lead for Anatomy (MBChB), and Co-lead for Equality, Diversity, and Inclusion (EDI) and the Athena Swan Self-Assessment Team within her School. Her work focuses on enhancing medical education through innovative teaching methods, inclusive curriculum design, and digital assessment strategies. Her research interests lie at the intersection of anatomy education, clinical application, and pedagogical innovation. She is particularly known for integrating radiology into anatomy teaching, developing e-learning tools, and promoting inclusive and ethical anatomy education. Her work emphasizes student engagement, curriculum reform, and the use of technology to enhance learning outcomes in medical and biomedical sciences. Dr. Venkatesh's recent publications reflect a strong trend toward inclusive, technology-enhanced, and clinically relevant anatomy education. Themes include online assessment, gamification of learning, decolonisation of curricula, and addressing neurophobia in medical students. Her scholarly output spans journals such as Journal of Anatomy , Medical Teacher , and Biomedical Visualisation , with increasing focus on equity, ethics, and innovation in anatomical sciences. AUSA and University of Aberdeen Best Undergraduate Lecturer 2020 AUSA and University of Aberdeen Best Undergraduate Supervisor 2021 AUSA and University of Aberdeen Best Undergraduate Supervisor 2022 Dr. Venkatesh actively supervises undergraduate research projects in Biomedical Sciences and MBChB electives, and has contributed to curriculum development with funded initiatives in e-learning and assessment reform. She has served on numerous university and national committees, contributing to academic governance and quality assurance. Her external roles include being an External Examiner at the Universities of Glasgow, Dundee, and Manchester, and leadership in the Anatomical Society and TEPARG. She is a member of the Trans European Pedagogic Anatomical Research group (TEPARG), the Anatomy Associations Advisory Committee, and was Lead Organiser of the Scottish Anatomists Group (2014–2021). She also serves as Membership Officer of the Anatomical Society (2022–2024) and reviews for major journals and textbooks in anatomy and medical education.
Gabriel Loeb, MD, PhD is an Assistant Professor at the University of California, San Francisco (UCSF) School of Medicine , where he operates as a physician-scientist specializing in genetic kidney diseases . His research integrates human genetics , genomics , and novel kidney disease models to identify molecular mechanisms in chronic kidney disease and Autosomal Dominant Polycystic Kidney Disease (ADPKD). Clinically, he focuses on familial and genetic kidney disease care at the UCSF Nephrology Faculty Practice . Education BS in Biology (2005), Stanford University MD (2015), Cornell PhD in Immunology (2015), Cornell/Rockefeller/Sloan Kettering Internal Medicine Residency (2018), Brigham and Women's Hospital/Harvard Medical School Nephrology Fellowship (2021), UCSF Research Interests center on leveraging human genetic variation to decode kidney disease mechanisms, with a focus on ADPKD and tubule epithelial regulatory elements . His work explores cell type-specific genomics , polycystin channel function , and urine multiomics for non-invasive diagnostics. Recent Publications highlight advancements in ADPKD mechanistic understanding , urine-based liquid biopsies , and genomic deep learning model limitations . Key journals include Nature Genetics , Nature Communications , and bioRxiv . Grants & Programs Laboratory for Genomics Research Innovation Award (2024–2025) Physician Scientist Scholars Program, UCSF (2021–2026)
Linda C. Giudice is a Distinguished Professor holding the Robert B. Jaffe, MD Endowed Professorship in Reproductive Sciences at the University of California, San Francisco (UCSF) School of Medicine. She serves as Director of the Center for Research on Origins and Biological Consequences of Human Infertility, the UCSF Women's Reproductive Health Research Career Development Center, the UCSF NIH National Center for Translational Research in Reproduction and Infertility (NCTRI), and the UCSF NIH Human Endometrial Tissue and DNA Bank. Her extensive leadership in reproductive sciences spans decades of groundbreaking research and mentorship. 1969: BS Engineering, Columbia University 1971: MSc, Washington University, St. Louis 1976: PhD Biochemistry, University of California, Los Angeles 1982: MD Medicine, Stanford University 1982-83: Internship in General Internal Medicine, Kaiser Foundation Hospital 1983-84: Residency in Gynecology and Obstetrics, Stanford University Medical Center 1984-86: Residency in Obstetrics and Gynecology, Barnes Hospital, Washington University 1986-87: Fellowship in Reproductive Endocrinology and Infertility, Stanford University Medical Center Dr. Giudice's research focuses on environmental impacts on reproductive health, steroid hormone signaling in human endometrium, endometrial-placental interactions, and the endometrium as a mucosal tissue. Her laboratory employs systems biology approaches to investigate molecular mechanisms underlying normal and abnormal human endometrial development and function, with particular emphasis on endometriosis, infertility, and implantation disorders. Her team explores endometrial renewal through stem cell-focused research and investigates the human female reproductive tract as a portal of entry for infection, including HIV transmission. Recent work has centered on epigenetic regulation of endometrial function and the immune environment in endometriosis using single-cell technologies. Analysis of her recent publications reveals a strong trend toward advanced genomic and transcriptomic techniques, particularly single-cell analysis and multi-omics approaches to understand endometrial biology and endometriosis pathogenesis. Her research spans fundamental molecular mechanisms of endometrial function while maintaining strong translational applications for diagnostic and therapeutic development in reproductive medicine. 2002: Elected to the Institute of Medicine of the National Academies 2006-2007: President of the Society for Gynecologic Investigation 2006: Academia Nazionale dei Lincei Arnaldo Bruno International Prize 2008: American Medical Women's Association Woman in Science Award 2008: SGI Distinguished Scientist Award 2008: American Fertility Society Illuminations Award 2008: American Society for Reproductive Medicine Distinguished Researcher Award 2009: NICHD, NIH, DHHS Perinatology Research Branch Wall of Honor 2013: Journal of Women's Health Award for Outstanding Achievement Dr. Giudice has mentored numerous researchers through her laboratory at UCSF, including postdoctoral scholars, REI fellows, and clinical research coordinators. Her lab maintains the UCSF NIH Human Endometrial Tissue and DNA Bank, established in 1999, which serves as a national repository for endometrial and blood specimens. She has secured significant NIH funding through the National Center for Translational Research in Reproduction and Infertility program, supporting translational research in reproductive sciences. The Giudice Lab, located at 513 Parnassus Avenue in the Health Sciences Education Building, operates as a multidisciplinary team investigating endometrial biology from molecular to clinical perspectives. Current research focuses include epigenetic regulation of endometrial function, immune environment in endometriosis, endometrial stem/progenitor cells, and the reproductive tract as a portal for infection. The lab collaborates extensively with other UCSF researchers and participates in national and international consortia focused on women's reproductive health.
Trygve Brauns Leergaard is a Professor at the Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo. His academic work focuses on neuroanatomy, brain connectivity mapping, morphological phenotyping, and neuroinformatics, particularly in rodent models. MD, University of Leiden (1996) PhD, University of Oslo (2000) Research Interests: Leergaard specializes in digital brain atlasing, histological validation of neuroimaging, and neuroinformatics. His work bridges computational methods with neuroanatomical studies, emphasizing standardization of brain mapping techniques. Recent Publications: His 2024–2025 research includes developing spatial integration workflows, comparative brain atlas metadata models, and developmental mouse brain atlases. Earlier work (2018–2023) explored neurodegenerative disease models, brain tumor growth patterns, and Parkinson's disease mechanisms. Laboratory & Collaborations: He co-leads the Neural Systems and Graphics Computing Laboratory and collaborates internationally with institutions including UC San Diego, Duke University, and NTNU.
Leonard Edward White is an Associate Professor in Neurology at Duke University, with additional appointments in Psychology and Neuroscience, Orthopaedic Surgery, and Neurobiology. He serves as Associate Director of the Duke Institute for Brain Sciences and Director of Undergraduate Studies of Neuroscience. His academic career spans over three decades since earning his Ph.D. from Washington University in St. Louis in 1992. Dr. White's research focuses on the structure and function of the mammalian brain, particularly through the development of advanced magnetic resonance methods for interrogating brain structure. His work combines light sheet microscopy with MRI techniques to provide new insights into microscopic brain structure, whole-brain connectivity, and how neural tissue constrains connectivity in animal models. He maintains a sustained interest in how early sensorimotor experience influences neural circuit formation and maturation in the cerebral cortex, as well as the intersection of brain sciences with humanities. His recent publications (2020-2025) reveal a strong emphasis on high-resolution brain imaging techniques, particularly MRI and light sheet microscopy for creating detailed brain atlases. His work spans multiple species (mouse, rat, human) and addresses fundamental questions in neuroanatomy, connectomics, and developmental neuroscience. Notably, he has been developing the Duke Mouse Brain Atlas and exploring the impact of prenatal drug exposure on brain development. Dr. White has secured significant research funding, including the current 'Ultra-high Resolution Structural Connectome Atlases of the Animal Brain' grant (2022-2026) from the University of Pittsburgh, and previously led NIH-funded projects on visual cortex development spanning nearly two decades. He is deeply involved in medical education, serving as Director of Undergraduate Studies of Neuroscience and developing innovative approaches to teaching neuroanatomy. His educational scholarship includes work on integrating art into medical education and revitalizing neuroanatomy teaching methods. He also maintains an active presence in neurohumanities, exploring the intersection of neuroscience with arts and humanities.
Julia Salzman is an Associate Professor at Stanford University, affiliated with the School of Medicine in the Departments of Biomedical Data Science and Biochemistry , with courtesy appointments in Statistics and Biology . She serves as a member of interdisciplinary centers including Bio-X , Stanford Cancer Institute , and Sarafan ChEM-H . Salzman's research focuses on statistical computational biology , particularly RNA splicing , cancer genomics , and microbial systems . Her lab develops algorithms like SPLASH (Statistically Primary aLignment Agnostic Sequence Homing) and SICILIAN for precise splice junction detection, enabling reference-free analysis of genomic data across human , non-model organisms , and planetary health applications (e.g., oceanic systems , plants ). Her 15 most recent publications span 2024–2016, covering topics from cell-free RNA diagnostics to circular RNA in disease . Key methodologies include DEEPEST for gene fusion detection and SQUICH for logarithmic molecular sampling. These works highlight her contributions to cancer biology and viral pandemic response . Scientific Awards include Arc Ignite Investigator (2023) NSF CAREER AWARD (2016) Alfred P. Sloan Research Fellow (2014) Baxter Faculty Scholar Award (2014) Salzman's funding history includes NIH Pathway to Independence and NSF grants . She mentors PhD and Master’s students through courses like BIOMEDIN 290 and BIODS 228 , while leading the Salzman Lab in advancing computational genomics and biological modeling .
