جست‌وجوی استاد و پژوهشگر

Tim Conradمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Computational Biology
• Machine Learning
• +۵ مورد دیگر

Dr. Tim Conrad is a researcher at the Zuse Institute Berlin in the Visual and data-centric computing department under the Mathematics of Complex Systems division. He leads projects at the intersection of computational biology, AI, and medical data analysis. Projects: Geometric Learning for Single-Cell RNA Velocity Modeling, MODAL MedLab, Sparse Compressed Sensing in -Omics Data, BIFOLD (Big Data and Machine Learning) Research Networks: Affiliated with MATH+ and MODAL Research Campus His research focuses on applying machine learning , network optimization , and sparse data analysis to biological and medical challenges including disease modeling, microbiome dynamics, and ECG classification. Recent work explores hybrid PDE-ODE epidemic models and federated learning in healthcare. 2023-2025 publications highlight trends in AI for biological networks , temporal community detection , and medical signal processing . He co-authored studies on SARS-CoV-2 simulations, proteomics feature selection, and multi-label ECG analysis. His 2004 doctoral thesis at Monash University laid foundations for later work in metabolic pathway analysis. Awarded as a Zuse Fellow , he contributes to open science initiatives like FAIR data sharing . Collaborations span institutions including Freie Universität Berlin and Charité in medical informatics and clinical applications.

Georg Guggenbergerمشاهده پروفایل

استاد

• Soil Science
• Soil Chemistry
• Biogeochemistry
• +۷ مورد دیگر

Professor Georg Guggenberger is a distinguished academic at Leibniz University Hannover, where he serves as Professor of Soil Chemistry within the Department of Soil Science at the Institute of Earth System Sciences, Faculty of Natural Sciences. In addition to his research and teaching responsibilities, he holds several significant administrative positions including Vice Dean for Research in the Dean's Office of the Faculty of Natural Sciences, Executive Management at both the Institute of Soil Science and Department of Soil Science levels, and Chair of the Selection Committee for the M.Sc. Landscape Sciences program. Prof. Guggenberger's research program focuses on fundamental processes governing soil organic matter dynamics across diverse ecosystems worldwide, from Arctic to tropical regions. His work investigates biotic and abiotic factors influencing the formation, transport, and stabilization of soil organic matter, with particular emphasis on soil fertility maintenance. He employs advanced methodologies including stable isotope approaches, biomarker analyses, microspectroscopic techniques (XPS, ESEM, NMR, NanoSIMS), and molecular biological methods to study biogeochemical interactions on mineral surfaces, dissolved organic matter dynamics, plant-mycorrhizal-soil interactions, permafrost soil organic matter, and impacts of land use and climate change on soil organisms. Analysis of Prof. Guggenberger's recent publications reveals a strong interdisciplinary research program spanning soil biogeochemistry, carbon cycling, soil microbiology, and climate change impacts. His work integrates field experiments along environmental gradients with laboratory manipulation studies to identify underlying mechanisms. The research shows particular strength in understanding organic matter stabilization mechanisms, microbial contributions to soil processes, and development of sustainable soil management practices that address climate change challenges. Prof. Guggenberger actively contributes to academic service through his leadership roles in examination boards and committees, including the Examination Board for Geosciences programs and the Selection Committee for Landscape Sciences. His administrative responsibilities as Vice Dean for Research demonstrate his commitment to advancing research within the Faculty of Natural Sciences at Leibniz University Hannover.

Ali Shojaieمشاهده پروفایل

استاد

• Biostatistics
• Statistics
• Machine Learning
• +۴ مورد دیگر

Ali Shojaie is a Professor of Biostatistics and Statistics at the University of Washington, serving as Associate Chair for Strategic Research Affairs in the Department of Biostatistics. He leads the Summer Institute for Statistics in Big Data (SISBID) and the Data Management and Statistics (DMS) Core for the UW Alzheimer's Disease Research Center. His research focuses on developing statistical and machine learning methods for high-dimensional data, with applications in genomics, neuroscience, and public health. Shojaie's work includes advancements in graphical models, Granger causality, and spatial statistics. He has contributed to methodologies for analyzing networks from time series and spatial data, with applications in understanding gene regulatory networks and brain connectivity. His recent projects involve NIH-funded grants exploring gene-phenotype associations using omic data and explainable machine learning for brain stimulation research. Scientific awards include the 2022 Leo Breiman Award from ASA's Statistical Learning and Data Science section, and election as a Fellow of the Institute of Mathematical Statistics (IMS) and American Statistical Association (ASA). He serves on editorial boards for journals like the Journal of the American Statistical Association and Biometrika. Shojaie advises numerous PhD students and postdocs, many of whom have secured academic and industry positions. His lab develops open-source software tools, including the netgsa and ngc packages for network analysis and Granger causality estimation.

Kelsey Laneمشاهده پروفایل

عضو هیئت علمی

• Marine Microbiology
• Climate Science
• Oceanography
• +۳ مورد دیگر

Kelsey Lane is an Oceanography Instructor and REU Program Director at Oregon State University's Department of Oceanography. She specializes in modern planktic foraminiferal ecology and investigates marine microbiomes and the impacts of marine heatwaves on plankton communities. Her work integrates molecular ecology and geochemical analyses in foraminifera. Education: Details not explicitly provided in text Her research focuses on understanding how environmental changes affect marine microbial communities and plankton ecosystems. She emphasizes fieldwork and at-sea experiences for students through her teaching and REU program direction. No scientific awards or grants were explicitly mentioned in the provided text. Lane does not currently advise graduate students and focuses on undergraduate education. She teaches courses such as OC103: Exploring the Deep, OC201: Oceanography, and OC340: Biological Oceanography.

• Microbial Ecology
• Bacterial Interactions
• Carbon Cycling
• +۳ مورد دیگر

Shaul Pollak is an Assistant Professor at the Division of Microbial Ecology within the Centre for Microbiology and Environmental Systems Science at the University of Vienna. His research focuses on bacterial interactions in ecosystems, particularly their roles in plant pathogen protection and carbon cycling across soil and marine environments. He leads a research group investigating how microbial processes scale from genetic mechanisms to planetary biogeochemical cycles. His primary research interests include microbial community assembly, bacterial metabolism of complex biopolymers, and evolutionary genomics of marine cyanobacteria. Current projects leverage genomic dark matter to predict soil carbon fluxes, examine plant-bacteria interactions under environmental change, and explore the diversity of Prochlorococcus marinus. His interdisciplinary approach integrates genomics, high-throughput experiments, and machine learning to bridge ecological and evolutionary theory. Analysis of his 2022-2025 publications reveals consistent themes in microbial community dynamics, with emphasis on polysaccharide degradation mechanisms, phage-bacteria interactions, and genomic predictors of bacterial metabolic functions. His work demonstrates how bacterial trade-offs and cross-feeding structures shape ecosystem processes from ocean biogeochemistry to human gut microbiome organization. Dr. Pollak actively recruits PhD students and postdoctoral researchers through university stipend programs, with current group members including Thomas Gaehtgens, Gerhard Gruber, Jyothsna Pujar, Qi Qi, Lior Shachar, Marco Sing, and Joana Valèrio. His laboratory maintains active collaborations across soil and marine microbial ecology projects, with research infrastructure supported by University of Vienna resources and external funding.

Tao Huanمشاهده پروفایل

دانشیار

• Metabolomics
• Exposomics
• Analytical Chemistry
• +۵ مورد دیگر

Tao Huan is an Associate Professor in the Department of Chemistry , University of British Columbia , and holds the Canada Research Chair in Metabolomics and Exposomics . His research focuses on advancing mass spectrometry (MS) for metabolomics , integrating bioinformatics to address challenges in cancer metabolism , disease biomarker discovery , and exposome characterization . Education: Ph.D. in Analytical Chemistry (University of Alberta, 2015), Postdoctoral Research Associate (The Scripps Research Institute, 2015-2018). Dr. Huan’s work emphasizes systems biology , combining metabolomics with genomics and proteomics to decode complex biological mechanisms. He has pioneered methods for chemical isotope labeling and multimodal data integration , enhancing metabolite identification and pathway analysis. His recent publications (2020-2019) highlight innovations in LC-MS/MS workflows , freeze-thaw sample stability , and applications in colorectal cancer and Alzheimer’s disease . Dr. Huan’s lab actively recruits students and postdocs in analytical chemistry, metabolomics, and bioinformatics. Awards: Fred Beamish Award (2025), President’s Award, Metabolomics Society (2025), UBC Killam Faculty Research Award (2024), Michael Smith Health Research BC Scholar Award (2023). He serves as a faculty member in UBC’s Graduate Program in Bioinformatics , Genome Science and Technology , and the Cluster for Microplastics, Health and Environment . Lab alumni include Ph.D. and M.Sc. students now in academia and industry.

• Plant Pathology
• Forest Health Management
• Environmental Risk Modeling
• +۳ مورد دیگر

Bo Lu is a Professor of Biostatistics and Statistics at The Ohio State University. His research focuses on advancing early detection technologies for forest pathogens and pests using spectroscopy, machine learning, and metabolomics. He specializes in understanding plant defense mechanisms against invasive species and climate-driven disease dynamics. Key research areas include: Non-invasive disease diagnostics via FT-IR/Raman spectroscopy Machine learning applications in plant health monitoring Molecular basis of plant-pathogen interactions Environmental risk modeling for emerging forest diseases Notable projects include developing early detection systems for ash dieback, beech leaf disease, and soybean cyst nematode infestations. His work integrates statistical modeling with biochemical analysis to improve forest biosecurity strategies globally. He advocates for international collaboration in addressing the global forest health crisis through improved diagnostic frameworks and resistance breeding programs.

Kung-Hui Chuمشاهده پروفایل

استاد

• Environmental Engineering
• Biotechnology
• Microbial Ecology
• +۳ مورد دیگر

Kung-Hui Chu is a Professor in the Department of Civil Engineering at Texas A&M University, affiliated with the College of Arts and Sciences and the Water Program. Her research focuses on biotechnological solutions for environmental challenges, including the biodegradation of contaminants like PFAS, chlorinated solvents, and estrogens using microbial systems. She has pioneered studies on polyurethane biodegradation, acidophilic methanotrophs, and engineered biocatalysts for biofuel production. Her work integrates microbial ecology, genomics, and environmental engineering to address water, soil, and energy sustainability. Notable contributions include the development of magnetic activated carbon (MAC) and hydrothermal alkaline treatment (HALT) for PFAS remediation, and the use of stable isotope probing (SIP) to trace contaminant biodegradation pathways. Her articles highlight advancements in bioremediation technologies, microbial community dynamics, and sustainable waste-to-resource systems. Chu collaborates on projects such as the Texas CREWS initiative and the Aggie BLUE Print Laboratories, emphasizing interdisciplinary environmental solutions.

Anne G Hoenمشاهده پروفایل

دانشیار

• Microbiome research
• Epidemiology
• Environmental health
• +۷ مورد دیگر

Anne G Hoen is an Associate Professor at the Geisel School of Medicine , Dartmouth College, with joint appointments in Epidemiology , Biomedical Data Science , and Microbiology and Immunology . Her research focuses on microbiome development in infants, environmental exposures, and their associations with health outcomes, using interdisciplinary approaches including statistical modeling and bioinformatics. Research Interests: She explores how microbial communities in early life influence disease risk through environmental and dietary factors. Her work integrates microbiome-metabolome interactions, computational methods for microbial network analysis, and epidemiological studies of infectious diseases. Recent Article Trends: 2025-2024 publications highlight maternal diet-microbiome links, microbial interaction networks, ECHO consortium collaborations, and novel computational approaches for microbiome data. Key sub-fields include perinatal exposome, microRNA profiling, and longitudinal metabolomic analysis. Scientific Awards: K01LM011985: Bioinformatics strategies for early life microbiomics R01LM012723: Multi-omic functional integration using networks Advising: Mentors current PhD students in Dartmouth's Quantitative Biomedical Sciences (QBS) program, including Becky Lebeaux and Quang Nguyen, while alumni like Sara Lundgren and Wes Viles hold postdoctoral and academic positions.

David J. Mooreمشاهده پروفایل

استاد

• Neuropsychology
• HIV Neurobehavioral Research
• Neurocognitive Disorders
• +۵ مورد دیگر

David J. Moore, Ph.D., is a licensed clinical psychologist and Professor of Psychiatry at UC San Diego Health. He co-directs the SDSU/UCSD Joint Doctoral Program (JDP) in Clinical Psychology and leads research at the HIV Neurobehavioral Research Program (HNRP). His work focuses on neurocognitive impairments in individuals with HIV, comorbid mental illness, and substance use disorders, with a special emphasis on technological interventions for medication adherence. Doctorate: Ph.D. in Clinical Psychology (SDSU/UCSD JDP, neuropsychology specialization) Postdoctoral Fellowship: UCSD (serious mental illness) Clinical Internship: West Los Angeles VA Dr. Moore’s research addresses: Neurocognitive complications of HIV infection Intersection of HIV and aging Technological interventions for medication adherence Impact of comorbid psychiatric/substance use disorders on functioning His publications span topics including HIV neurocognitive profiles, syndemic factors in sexual risk behavior, and aging with HIV. Current studies integrate metabolomics, neuroimaging, and behavioral data through NIH-funded grants.

Cindy Lee Van Doverمشاهده پروفایل

استاد

• Chemosynthetic Ecosystems
• Deep-Sea Ecology
• Marine Conservation
• +۴ مورد دیگر

Cindy Lee Van Dover is a deep-sea biologist and the Harvey W Smith Distinguished Professor of Biological Oceanography at Duke University. She serves as Chair of Duke's Division of Marine Science and Conservation and Director of the Duke University Marine Laboratory in Beaufort, N.C. Her research focuses on chemosynthetic ecosystems, biodiversity, and deep-sea policy frameworks. Ph.D. in Biological Oceanography, MIT/Woods Hole Oceanographic Institution (1989) M.A. in Ecology, UCLA (1985) B.S. in Biological Oceanography, Rutgers University (1977) Van Dover's work spans deep-sea ecology, hydrothermal vent biodiversity, and environmental policy. She investigates gene flow in vent invertebrates, ecological impacts of deep-sea mining, and conservation strategies for chemosynthetic ecosystems. Her research integrates field programs using submersibles and telepresence technologies to study vent connectivity and microbial roles in extreme environments. Her scientific leadership includes 80+ peer-reviewed publications and roles as Chief Scientist in NSF- and NOAA-sponsored expeditions. She pioneered studies on geothermal light at vents and deep-sea symbiosis, with recent work on dual symbiotic relationships in vent snails and methane seep ecology. Virginia Outstanding Scientist (2006) Fulbright Scholar (France 2004) Fellow, American Association for the Advancement of Science Mines Medal for Leadership and Innovation NSF Career Awardee Van Dover's grants include NSF EAGER funding for deep-submergence science leadership and Pew Charitable Trusts' support for deep-sea mining impact assessments. She leads interdisciplinary initiatives like Science and Art at the Moment of Discovery , integrating artists into marine research expeditions. Her outreach includes authoring two books: Deep-Ocean Journeys for public audiences and The Ecology of Deep-Sea Hydrothermal Vents as the first textbook in the field. Her work has been featured in Science News , Discover Magazine , and National Public Radio .

Gerald Quonمشاهده پروفایل

دانشیار

• Computational Biology
• Single Cell Genomics
• Epigenomics
• +۵ مورد دیگر

Gerald Quon is an Associate Professor in the Department of Molecular and Cellular Biology at the University of California, Davis. He is affiliated with the Genome Center and participates in multiple graduate programs, including Integrative Genetics and Genomics, Neuroscience, Computer Science, Biostatistics, and Biomedical Engineering. Education: PhD in Computer Science from the University of Toronto (2012) MSc in Biochemistry from the University of Toronto (2006) Research Interests: Dr. Quon applies computational approaches to genetics and genomics problems, focusing on the genetics of human disease , models of cell population dynamics , and neurogenomics . His lab builds neural network models to understand how genetic variation affects disease risk through molecular and cellular phenotypes, with applications to obesity, Alzheimer’s disease, psychiatric disorders, and Rett syndrome. Recent Research Trends: Recent publications highlight work in neuroplasticity , single-cell multimodal analysis , brain evolution , morphological variation modeling , and microbiome-based classification . His team combines sequencing and imaging technologies to model cellular interactions and gene expression dynamics. Scientific Awards: NIH New Innovator Award (2021) Grants & Collaborations: He received NSF funding (2019) for computational tools in single-cell analysis and collaborates across disciplines, including neuroscience, biomedical engineering, and computational biology. His lab develops software like scProjection , siVAE , and scAlign .

• Malaria Research
• Infectious Diseases
• Antibiotic Resistance
• +۵ مورد دیگر

Martina Wade is a Researcher in the Department of Epidemiology of Microbial Diseases at Yale School of Public Health. Her work focuses on infectious diseases, particularly malaria and antibiotic resistance, with a global health perspective emphasizing sub-Saharan Africa. She collaborates on projects in Cameroon, Uganda, and Burkina Faso, addressing drug resistance mechanisms, diagnostic innovations, and public health interventions. Her research spans clinical trials (e.g., ivermectin mass drug administration protocols), microbiota analysis in livestock and human populations, and environmental transmission dynamics of pathogens. She has published extensively on malaria treatment efficacy, microbiome disruptions from antibiotic use, and novel diagnostic technologies like photoacoustic detection. Her work bridges laboratory science with field epidemiology, aiming to improve clinical outcomes and public health strategies. Key collaborations include Sunil Parikh, Justin Goodwin, and Fangyong Li, focusing on antimalarial resistance tracking and pediatric infection dynamics. Her laboratory is located at 60 College Street, Ste Room 711, New Haven, CT. Contact: martina.wade@yale.edu.

• Endocrinology
• Diabetes Research
• Metabolism
• +۵ مورد دیگر

Zubin Punthakee is an Associate Professor in the Department of Endocrinology & Metabolism within the Faculty of Medicine at McMaster University. His scholarly activity spans over 30 years with 97 publications in the last 10 years, demonstrating sustained research productivity in diabetes, endocrine disorders, and metabolic health. Dr. Punthakee's research interests focus on several key areas in endocrinology and diabetes care. He has made significant contributions to understanding type 2 diabetes remission through metabolic interventions, transition care for adolescents with type 1 diabetes moving to adult care systems, hypoparathyroidism management and skeletal health outcomes, and health disparities among South Asian populations. His work often involves large-scale clinical trials, registry-based research (particularly the Canadian National Hypoparathyroidism Registry), and implementation science approaches to improve diabetes care delivery. Analysis of his recent publications reveals a strong focus on diabetes remission strategies, transition care quality improvement, and skeletal complications of endocrine disorders. His work bridges clinical endocrinology with health services research, often examining how to translate evidence into practice through audit and feedback mechanisms and structured transition programs. Dr. Punthakee has been actively involved in numerous clinical trials including the REMIT-iGlarLixi trial examining diabetes remission, and has contributed to major clinical practice guidelines for diabetes management across the lifespan. His work with the Canadian National Hypoparathyroidism Registry has produced multiple publications characterizing the etiology, clinical manifestations, and management strategies for hypoparathyroidism. His research frequently addresses health disparities, particularly among South Asian populations in Canada, examining factors like vaccine effectiveness, dietary patterns, and cardiovascular risk. This work demonstrates his commitment to addressing health equity through rigorous clinical research.

• Veterinary Epidemiology
• Antimicrobial Resistance
• Infectious Disease Surveillance
• +۳ مورد دیگر

Lorin D. Warnick is currently serving as the Austin O. Hooey Dean of Veterinary Medicine at Cornell University College of Veterinary Medicine. He is a tenured Professor in the Department of Population Medicine and Diagnostic Sciences, where his research focuses on the epidemiology of Salmonella infections and antimicrobial resistance in enteric bacteria affecting both domestic animals and humans. A key contributor to Cornell's response to the COVID-19 pandemic, he has led research on SARS-CoV-2 diagnostic testing and campus outbreak dynamics. Education : B.S. in Microbiology (1984) from Brigham Young University DVM (1988) from Colorado State University Ph.D. in Veterinary Medicine (Epidemiology) and Statistics from Cornell University (1994) Professional Experience : Assistant Professor (1994-1996) at Virginia-Maryland Regional College of Veterinary Medicine Assistant/Associate Professor (1996-2008) and Professor (2008-present) at Cornell University Section Chief in Ambulatory and Production Medicine (1997-1999) Research Interests span veterinary epidemiology, antimicrobial resistance, foodborne pathogens, and public health. His work connects animal and human health through One Health frameworks, particularly in Salmonella transmission dynamics between dairy cattle and humans. He has pioneered surveillance systems for infectious diseases, including the model used during Cornell's COVID-19 response. Scientific Awards include: Phi Zeta Veterinary Honor Society (1987) Phi Kappa Phi Honor Society (1988) Honorary Diploma from American Veterinary Epidemiology Society (2018) One Cornell Award for Leadership in Pandemic Testing (2021) Advising and Grants highlight his role in mentoring students and leading interdisciplinary research teams. His grants focus on antimicrobial resistance mitigation, dairy calf health, and pandemic response infrastructure. He has collaborated extensively with institutions like USDA and CDC on foodborne disease research. Labs and Collaborations include leadership in Cornell's Veterinary Diagnostic Laboratories and contributions to the American College of Veterinary Preventive Medicine. His work integrates epidemiological modeling, microbiome analysis, and policy development for sustainable agricultural practices.