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Tonya KaltenbachView profile

Professor

• Gastroenterology
• Endoscopy
• Colorectal Cancer Screening
• +5 more

Tonya Kaltenbach, MD is a Professor in the Department of Medicine at the University of California, San Francisco (UCSF) School of Medicine. She specializes in gastroenterology and endoscopy, with a focus on advancing endoscopic techniques, colonoscopy quality improvement, and medical education. Her work emphasizes simulation-based training, artificial intelligence integration in endoscopy, and colorectal cancer screening. Education: Dr. Kaltenbach earned her BA in Biologic Basis of Behavior from the University of Pennsylvania (1996), MD from Jefferson Medical College (2001), and completed residency at Stanford University (2004). She further specialized in gastroenterology at Stanford (2007) and holds an MSc in Clinical Research from UCSF (2007). Additional training includes advanced endoscopy fellowships in Japan (2009) and the US. Research: Her research spans endoscopy quality metrics, non-polypoid colorectal neoplasms, and improving adenoma detection rates. She leads initiatives like the VA Endoscopy Quality Improvement Program (VA-EQuIP) and pioneered simulation-based mastery learning for endoscopy training. Key contributions include advancing optical diagnosis techniques and AI applications in real-time polyp histology prediction. Awards: Recognized with the Distinguished Master Endoscopist award (ASGE, 2022), multiple Education Audiovisual Awards, and grants from institutions like the VA and NIH. Her work has been published in high-impact journals such as Gastroenterology and Annals of Internal Medicine . Grants & Teams: Collaborates on national projects like the VA-EQuIP trial and the Bali Endoscopy Simulation Training (BEST) program. Leads teams focusing on endoscopy training standards and colorectal cancer prevention strategies.

• Artificial Intelligence
• Data Science
• Machine Learning
• +7 more

Phivos Mylonas is an Associate Professor at the Department of Informatics and Computer Engineering within the School of Engineering at the University of West Attica. He also maintains academic appointments at Ionian University where he previously served as Associate Professor and Assistant Professor in the Department of Informatics. His academic journey includes adjunct professor positions at several Greek institutions including University of Central Greece, University of the Aegean, and University of Crete. Dr. Mylonas holds a PhD in Electrical and Computer Engineering from the National Technical University of Athens, a Master's Degree in Advanced Information Systems from the National and Kapodistrian University of Athens, and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens. His research spans Artificial Intelligence applications, data science, user modeling, personalization technologies, and semantic frameworks. His scholarly output shows a clear trajectory toward increasingly sophisticated AI applications, with recent publications focusing on ChatGPT integration, fuzzy logic systems, and multimodal interaction. The research demonstrates strong interdisciplinary connections between computer science, education, and cultural heritage preservation. Thomaidio Grant for Science and Art Progress (2005, 2006) ICCS-NTUA Short Term Research Grant (2005-2006) As an academic leader, Dr. Mylonas has served as Director of the Humanistic and Social Informatics Laboratory at Ionian University (2013-2022) and as a Senior Researcher at the Image, Video and Multimedia Laboratory at National Technical University of Athens. He has been instrumental in organizing numerous international conferences and has served on over 200 conference program committees. His laboratory work spans multiple institutions including collaborations with University of Patras and Ionian University.

Rhian WallerView profile

Associate Professor

• Deep-sea biology
• Cold-water corals
• Biogeography
• +3 more

Rhian Waller is an Associate Professor at the School of Marine Sciences, University of Maine. Her research focuses on deep-sea invertebrate reproduction, cold-water corals, and biogeography. She holds a Ph.D. from the Southampton Oceanography Centre, UK (2004). Research Interests: Waller investigates larval development mechanisms in deep-sea corals, environmental impacts on reproductive strategies, and population connectivity using microscopy (SEM/TEM), genetic analysis, and geographic databases. Current projects span from Arctic to Antarctic regions, including studies on Gulf of Maine coral habitats and Alaskan Red Tree coral reproduction. Grants & Collaborations: Secured over $1.2M in funding from NSF, NOAA, and WHOI for projects like 'Stepping Stones Across the Atlantic' and 'Paleogenetics of Mediterranean Corals'. Collaborates internationally with institutions like the USGS and Chile’s Huinay Foundation. Publications: Recent work emphasizes coral reproductive biology (e.g., Hawaiian black corals), larval dispersal patterns, and deep-sea coral biogeography. Articles highlight applications of ancient DNA techniques and hydrothermal vent colonization studies. Labs & Teams: Leads a laboratory offering undergraduate training in marine microscopy, histology, and genetic analysis, supporting students pursuing graduate studies.

Ahmet SoyluView profile

Associate Professor

• Knowledge Graphs
• Semantic Web
• Data Integration
• +3 more

Ahmet Soylu is Associate Professor in Data and Knowledge Management at the University of Oslo. His research develops semantic technologies and knowledge systems for applications in healthcare, cloud computing, and industrial domains. Research Focus Creates knowledge graph systems for data integration and analysis, with applications in medical diagnostics (cancer/brain tumor classification), cloud cost optimization, and industrial monitoring systems. Develops transformer-based models for SQL recommendation and data linking. Publication Trends Recent work shows strong emphasis on healthcare AI (particularly cancer diagnostics), cloud storage optimization, knowledge graph embeddings, and industrial applications at Bosch. Increasing focus on imbalanced learning techniques for medical data. Project Leadership Developed Koala-UI for tabular data linking Semantic systems for Bosch welding quality monitoring Open energy management systems for EV charging

• Congenital Heart Disease
• Pulmonary Vascular Disease
• Atherosclerosis
• +5 more

Professor David Celermajer is the Scandrett Professor of Cardiology at the University of Sydney’s Central Clinical School and Head of the Discipline of Cardiology. He holds roles as Academic Cardiologist at Royal Prince Alfred Hospital (RPAH), Director of Adult Congenital Heart Services, and Clinical Director of the Heart Research Institute. His academic affiliations include membership in the Sydney Environment Institute and Charles Perkins Centre. He is a Rhodes Scholar and University of Sydney Medallist, recognized with prestigious awards like the Blackburn Medal (2019) and Officer of the Order of Australia (AO). He serves on the editorial boards of leading cardiology journals and has published over 600 papers with an H-index of 110. Research focuses on congenital heart disease (CHD), pulmonary vascular disease, and atherosclerosis. Key projects include the ACHD Database at RPAH, exercise physiology in Fontan patients, and public health models for lifelong CHD care. He collaborates internationally with institutions in China, Finland, France, and the UK. Professor Celermajer advises over 25 PhD candidates and leads teams at the Heart Research Institute and RPAH. His clinical roles include directing Pulmonary Hypertension Services and serving on the Congenital Heart Alliance of Australia and New Zealand.

• Head and Neck Cancer
• Human Papillomavirus (HPV) Vaccination
• Otolaryngology
• +5 more

Niels Kokot, MD is a Clinical Professor in the Department of Otolaryngology-Head & Neck Surgery at the Keck School of Medicine of USC , University of Southern California. His clinical and research focus spans head and neck oncology, HPV vaccination dynamics, reconstructive surgery, and health disparities in cancer survivorship. Role: Clinical Professor, Otolaryngology-Head & Neck Surgery Affiliation: Keck School of Medicine of USC Email: kokot@usc.edu Research Interests include head and neck cancer, HPV-related pathogenesis, reconstructive microsurgery, psychosocial determinants of postoperative outcomes, and health equity. He investigates disparities in cancer diagnosis, treatment of minority populations, and the role of digital platforms in patient education. Recent Publications highlight trends in cost-effectiveness of surveillance imaging, free flap outcomes, and the intersection of social media with health communication. His work spans clinical trials, systematic reviews, and epidemiological studies. Collaborations involve multidisciplinary teams, including critical care, endocrinology, and medical oncology. His career bridges basic science (notably cytokine signaling in the 1990s) with contemporary clinical and health systems research.

• Neuroimaging
• Brain Mapping
• Computational Neuroscience
• +4 more

Paul M. Thompson, PhD is a Professor at the Keck School of Medicine of the University of Southern California, with appointments across 8 departments including Neurology, Psychiatry, Biomedical Engineering, and Quantitative & Computational Biology. He leads the ENIGMA Consortium , a global network of 2500+ scientists across 47 countries conducting large-scale neuroimaging-genetics studies of 30+ brain disorders. His research integrates neuroimaging, mathematics, computer science , and clinical medicine to map brain diseases and develop AI tools for early detection. Education: MA in Mathematics & Classics (Oxford), PhD in Neuroscience (UCLA) Labs: Director of the USC Imaging Genetics Center (50+ researchers) and $11M NIH ENIGMA Center for Worldwide Medicine, Imaging & Genomics Key research areas include: Alzheimer’s Disease : Identifying genetic risk variants and AI-driven subtyping for novel treatment targets Psychiatric Disorders : Mapping brain changes in schizophrenia, depression, OCD, and bipolar illness Developmental Neuroscience : Tracking brain growth in children and fetal programming effects Global Health : India ENIGMA Initiative studying brain aging in diverse populations His recent publications focus on deep learning for MRI analysis , diffusion models for synthetic imaging , and genetic correlates of brain structure in journals like Nature Genetics , Science , and Nature . Major Awards : 2023 Society for Brain Mapping & Therapeutics: Pioneer in Medicine Award 2021 U.S. Alzheimer Association: Zenith Award 2015 Kent Innovations in Academia Award Leadership : Director, ENIGMA Center for Worldwide Medicine ($11M NIH) Director, AI4AD ($18M NIH Initiative) Founder, India ENIGMA Initiative

• Neurology
• Epidemiology
• Biostatistics
• +6 more

Dr. Ling Zheng is an Associate Professor of Research in the Department of Neurology at the Keck School of Medicine, University of Southern California. She holds leadership roles as Director of Clinical Quality Informatics at Keck Medical Center and previously served as Director of Biostatistics and Outcomes Assessment at LAC+USC Medical Center. Her expertise spans epidemiology, biostatistics, and clinical quality improvement. Dr. Zheng earned her medical degree from Fujian Medical University, followed by an M.S. in Biostatistics and a Ph.D. in Epidemiology from USC. Her research focuses on atherosclerosis progression, vascular dementia mechanisms, and real-world evidence approaches for cerebrovascular disease prevention. She also investigates hospital quality metrics using national healthcare databases. Her publications (2003–2017) emphasize vascular-neurological intersections, including stroke complications, dementia pathology, and healthcare system performance. Notable trends include analyzing subarachnoid hemorrhage outcomes, differentiating Alzheimer’s from vascular dementia via neuropsychological profiles, and improving organ donation rates in Hispanic communities. She has contributed to understanding metabolic impacts of antipsychotics in Alzheimer’s patients and the role of docosahexaenoic acid in amyloidosis. Dr. Zheng’s work integrates clinical, epidemiological, and biostatistical methods to address public health challenges. Her quality improvement initiatives focus on optimizing hospital protocols and patient outcomes through data-driven strategies.

Paul W. SternbergView profile

Professor

• Systems Biology
• Cellular and Developmental Biology
• Evolutionary Biology
• +6 more

Paul W. Sternberg is the Bren Professor of Biology and William K. Bowes Jr. Leadership Chair at the California Institute of Technology's Division of Biology and Biological Engineering. He holds a B.A. from Hampshire College (1978) and a Ph.D. from MIT (1984). His research focuses on systems biology of C. elegans development, neural circuits underlying sex and sleep, and functional genomics of nematodes. Sternberg pioneered tools like Textpresso for text mining in biological literature and co-leads WormBase, a central database for nematode research. His work includes sequencing genomes of parasitic nematodes and studying behavior, such as CO 2 response and host-finding mechanisms. Awards include HHMI Investigator (1992–2017) and the Thomas Hunt Morgan Medal (2023). Research interests span systems biology, evolutionary biology, and microbiology. Key projects involve understanding developmental decisions (e.g., dauer larva formation), neural circuitry, and applying genomics to combat parasitic nematodes. Collaborations include the Alliance of Genome Resources and Gene Ontology Consortium. Sternberg’s lab also studies cell migration and signaling pathways in development, leveraging CRISPR and optogenetics. Education: B.A., Hampshire College; Ph.D., MIT Awards: HHMI Investigator (1992–2017), Thomas Hunt Morgan Medal (2023) Labs/Teams: Sternberg Lab, WormBase, Alliance of Genome Resources

• Neuroanatomy
• Connectomics
• Neural circuits
• +5 more

Professor Hong Wei Dong is a faculty member in the Department of Neurobiology at the David Geffen School of Medicine, University of California Los Angeles (UCLA). His research focuses on creating comprehensive connectome maps of the C57Bl/6 mouse brain to understand functional network organization and behavioral output mechanisms. He integrates Connectomics Genetics 3D high-resolution imaging Artificial intelligence to explore the fundamental architecture of the central nervous system. Key research directions include: Classification of mouse brain/spinal cord cell types through anatomic, molecular, and physiological properties Development of microscopy/histological technologies for human brain mapping at axonal resolution Application to neurodegenerative disease models (Alzheimer’s, Huntington’s) Recent publications highlight his work on: Visceromotor cortex networks High-resolution brain atlases Thalamic subnetworks Neuronal diversity analysis Advanced image processing tools Transsynaptic tracing methodologies Awardeeship highlights: Suzanne Eaton Memorial Prize Taylor M. Brown Memorial Award His lab develops scalable technologies like Gossamer for petabyte-scale image processing and Morphohub for multi-morphometry generation, while maintaining affiliations with UCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.) and NIH T32 training grants.

Greg SiegleView profile

Associate Professor

• Neuroscience
• Psychiatry
• Cognitive Science
• +7 more

Greg Siegle is an Associate Professor in the Department of Psychiatry at the University of Pittsburgh School of Medicine, with affiliations in the Center for the Neural Basis of Cognition and the Clinical and Translational Sciences Institute (CTSI). He directs the Program in Cognitive Affective Neuroscience (PICAN) and holds a Ph.D. from the San Diego State University/UCSD Joint Doctoral Program in Clinical Psychology. His research focuses on neural mechanisms underlying rumination, dissociation, and emotional disorders such as depression, PTSD, and autism, employing fMRI, EEG, and computational modeling. He develops interventions like Cognitive Control Training to target specific brain mechanisms and improve treatment outcomes. His work bridges basic neuroscience and clinical practice, emphasizing precision in diagnosis and treatment. Education: Ph.D., Clinical Psychology, San Diego State University/UCSD Joint Program Research Interests: Siegle investigates how sustained emotional processing disrupts cognitive and neural systems in psychopathology. His projects include understanding prefrontal-limbic interactions in depression, translating neuroimaging findings into clinical tools, and developing targeted therapies. He explores topics like pupil dilation as a biomarker of treatment response, the role of reward processing in late-life depression, and developmental changes in emotional processing during puberty. Labs & Collaborations: He leads the PICAN lab, offering opportunities for postdocs, undergraduates, and research assistants. Collaborations include work on virtual reality exposure paradigms, Emotiv headset processing, and functional connectivity tools. His lab develops software for data analysis, including the Functional Connectivity Toolbox and pupilometry tools. Grants & Software: Developed grants database templates for biosketch formatting Code for processing pupillary data, ASL5000 pupil data, and waveform comparisons Future Work: Focuses on translating neuroimaging insights into low-cost clinical tools, enhancing treatment personalization, and exploring mechanisms of sustained vs. blunted affective processing across disorders. He also advocates for rigorous standards in neuroscience reporting (e.g., COBIDAS guidelines).

LI Yuanxi, KristenView profile

Lecturer

• Semantic Multimedia Indexing and Retrieval
• Adaptive Search Engine Design
• Link Prediction Based on Multimedia Big Data
• +3 more

Dr. LI Yuanxi, Kristen is a Lecturer in the Department of Computer Science at Hong Kong Baptist University. She holds a Ph.D. in Computer Science and an M.Sc. in IT Management from the same institution. Her research focuses on semantic multimedia indexing, adaptive search engines, link prediction using big data, infectious disease modeling, inclusive education, and web usability design. Education: Ph.D. in Computer Science, Hong Kong Baptist University M.Sc. in IT Management, Hong Kong Baptist University Her research explores innovative methods for multimedia retrieval and search engine design, with applications in social media analysis and public health. She actively engages in pedagogical research to enhance teaching methodologies. Recent Workshops: Organized the 2017 Joint Design Workshop on 'Design for Sustainability (D4S)', available on YouTube. Her publications emphasize semantic technologies and ontology-driven systems to improve information retrieval effectiveness.

Sam MaddenView profile

Professor

• Database Systems
• Data Management
• Machine Learning
• +5 more

Sam Madden is a Professor of Electrical Engineering and Computer Science at MIT, leading the Data Systems Group (DSG) and the Data Science and AI Lab (DSAIL). He holds the MIT College of Computing Distinguished Professor title. Madden's research focuses on database systems, including learned database systems, query processing, and data management for video and sensor networks. He received his Ph.D. from UC Berkeley (2003) and MEng/BS from MIT (1999). His work spans systems for sensor networks (TinyDB), columnar databases (C-Store), and video analytics (VaaS). Notable projects include Starling (cloud query optimization), BRAD (cloud data infrastructure), and Aurum (data discovery). Madden has advised numerous students and received prestigious awards like the ACM Fellow (2020) and SIGMOD Codd Innovations Award (2024). Education: Ph.D., University of California, Berkeley (2003) M.Eng., MIT (1999) B.S., MIT (1999) Awards: MIT TR35 (2005) SIGMOD Test of Time Award (2013, 2017) ACM Fellow (2020) Teaching: Courses include Database Systems, Software Systems for Data Science, and Computer Systems. Companies: Co-founder of Vertica (acquired by HP), Chief Scientist at Cambridge Mobile Telematics.

LI RongView profile

Professor

• Cellular Dynamics
• Mechanobiology
• Biomechanics
• +6 more

LI Rong is a Professor (courtesy appointment) in the Department of Mechanical Engineering at the National University of Singapore (NUS), and Director of the Mechanobiology Institute (MBI), a Research Centre of Excellence at NUS. She concurrently holds a Distinguished Professorship in the Department of Biological Sciences at NUS. Previously, she served as Bloomberg Distinguished Professor of Cell Biology at Johns Hopkins School of Medicine and Department of Chemical and Biomolecular Engineering at Johns Hopkins University. Her research focuses on cellular dynamics and mechanics, integrating genetics, quantitative imaging, biophysical measurements, mathematical modeling, genomics, and proteomics. This interdisciplinary work aims to understand how eukaryotic cells transmit genomes, adapt to environments, and organize for specialized functions. Her recent publications span entity profiling, temporal data management, and big data analytics systems. Key contributions include the MAROON+ system for temporal entity profiling, HC-Store for hybrid MapReduce-RDBMS systems, and frameworks for optimizing algorithmic trading strategies using MapReduce. LI Rong's leadership roles include directing the Mechanobiology Institute and holding distinguished appointments across multiple institutions. Her work bridges engineering, biology, and computational sciences, reflecting her expertise in both mechanobiology and big data systems.

Tatjana BartschView profile

Researcher

• Italian Renaissance Art
• Dutch Renaissance Art
• Renaissance Drawings
• +3 more

Tatjana Bartsch is Deputy Head of the Photographic Collection at the Bibliotheca Hertziana – Max Planck Institute for Art History. She holds a PhD in Art History and German Literature from Humboldt University Berlin and the University of Pisa. Her research focuses on 16th-century Italian and Dutch art, Renaissance drawings, reception of antiquity, and the history of photography. She has led major projects like Faktizität und Gebrauch früher Fotografie and authored/co-authored books on Maarten van Heemskerck's Roman sketches and early photography archives. Education: PhD: Humboldt University Berlin & University of Pisa (2010), Thesis: Die römischen Studien Maarten van Heemskercks zwischen Sachlichkeit und Imagination Magister (MA): Humboldt University Berlin & University of Pisa (1997) Professional Experience: 2011–Present: Scientific Staff Member, Photographic Collection, Max Planck Institute for Art History 2009–2011: Coordinator at Excellence Cluster TOPOI, Berlin 2000–2008: Researcher at Census of Antique Works of Art and Architecture Research Interests: Her work bridges art history, material culture, and digital archives. She investigates Renaissance artistic practices, early photographic archives, and the role of images in preserving cultural memory. Key themes include Antikenrezeption , cartography in early modern Europe, and the intersection of art with historical documentation. Grants & Projects: Principal Investigator for Brautstiftung mit Obelisk (2021) Co-author of Faszination Rom exhibition catalog (2024) Edited volumes on Maarten van Heemskerck's Roman works (2019, 2024) Labs/Teams: Leads the Photographic Collection department, managing over 500,000 images documenting art and architecture. Collaborates with the Deutsches Archäologisches Institut on early photography research.