جست‌وجوی استاد و پژوهشگر

• Subsurface Reservoir Modeling
• CO2 Enhanced Oil Recovery & Storage (CEORS)
• Data-Driven Techniques in Reservoir Simulation
• +۶ مورد دیگر

Ashkan Jahanbani Ghahfarokhi is an Associate Professor at the Norwegian University of Science and Technology (NTNU), Department of Geosciences (IGV), specializing in reservoir engineering. He leads the CEORS Gemini Centre, a strategic collaboration between NTNU and SINTEF on CO2 Enhanced Oil Recovery & Storage. His roles include Head of the Well and Reservoir Group (2021-2022), Project Manager for the NORHED II Program in Mozambique, and Guest Editor for the Energies journal's AI/ML in Oil & Gas Special Issue. Education: PhD (NTNU, 2015), MEng (University of Calgary, 2009), MSc/BSc (Petroleum University of Technology, Iran) Research focuses on subsurface reservoir modeling, CO2 storage, data-driven techniques, and production optimization. Key interests include: CO2-EOR/Storage system design Machine learning integration in reservoir simulation Wellbore-reservoir coupling dynamics Recent articles emphasize advanced numerical modeling of CO2 injection in depleted gas fields, AI-driven proxy models for reservoir optimization, and interfacial tension analysis for hydrogen storage. His work spans 40+ peer-reviewed papers and 20+ conference presentations. Scientific Awards: NTNU's Outstanding Academic Fellows Programme (2022-2026), DNVA Postdoctoral Scholarship (2015-2017) Supervised 20+ master’s students and 4 PhD candidates, including Jinjie Mao (CO2 storage optimization), Cuthbert Ng (data-driven reservoir modeling), and Behnam Tavagh Mohammadi (CO2 field storage modeling). Active in teaching reservoir simulation, CO2 storage engineering, and petroleum geoscience courses at NTNU.

• Geometric Group Theory
• Low-Dimensional Topology
• Group Actions
• +۳ مورد دیگر

Thomas Ng is an Instructor of Mathematics at Brandeis University (2023–2026), focusing on geometric group theory and low-dimensional topology. His research explores group actions, nonpositive curvature (e.g., hyperbolicity, CAT(0)), and algebraic properties of groups. Previously, he was a Zuckerman Postdoctoral Fellow at the Technion, working with Michah Sageev, and earned his PhD from Temple University under David Futer's supervision. Research interests include the interplay between combinatorial/dynamical group behavior and algebraic properties like residual finiteness. His work applies to groups with nonpositive curvature, such as Gromov hyperbolic or CAT(0) structures. Publications (2018–2024) address cosmic web dynamics, galaxy evolution, and numerical simulations (e.g., EAGLE), with tools like neural networks for cosmological data analysis. His articles highlight topics like halo spin evolution, tidal fields, and baryon distribution.

• Climate Change Impacts
• Ecohydrology
• Groundwater Recharge
• +۵ مورد دیگر

Dr. Gene-Hua C Ng is an Associate Professor in the Earth and Environmental Sciences department at the University of Minnesota , with affiliations to the St. Anthony Falls Laboratory . His research focuses on climate change impacts, ecohydrology, and Indigenous resource sovereignty. Key Research Areas: Wild Rice (Manoomin) Conservation Glacier and Volcano Hydrology Soil Frost and Streamflow Dynamics Data Science for Environmental Resilience Recent publications highlight his work on climate change effects in the Great Lakes region and Patagonian Icefields. His projects, funded by the National Science Foundation and USGS , integrate hydrological modeling with Indigenous knowledge systems. Notable Project Themes: Climate-Induced Wild Rice Decline Glacierized Volcano Water Cycling Peatland Snowmelt Hydrology Seventh Generation Stewardship Nitrate Transport in Agricultural Areas Media engagements include expert commentary on Indigenous cultural practices threatened by climate change trends. His work contributes to UN Sustainable Development Goals related to climate action and life on land.

• Phycology
• Freshwater and Marine Algae
• Phylogeny
• +۱۵ مورد دیگر

Kirsten Müller is a Professor in the Department of Biology at the University of Waterloo, specializing in Phycology with a focus on red algae (Rhodophyta), particularly the Bangiales order. Her research spans evolutionary biology, taxonomy, molecular genetics, and environmental impacts of algae, including invasive species and toxic cyanobacteria in freshwater systems. Education: Ph.D. in Botany (1999), University of Guelph B.Sc. in Biology (1995), Memorial University of Newfoundland Her work addresses critical questions about sexual reproduction evolution in ancient algae, biogeography of nuisance species, and microbial risks in drinking water systems. She has led studies on invasive red algae in the Laurentian Great Lakes and toxic cyanobacteria in Lake Ontario. Scientific Awards: Outstanding Performance Award (2023, 2022, 2016) Homeward Bound leadership program participant (2019) Luigi Provasoli Award (2011) Early Researcher Award (2005) Excellence in Science Teaching Award (2016) She teaches advanced courses in evolution, marine biology, and plant sciences, and contributes to microbial diversity research through affiliations with the Waterloo Centre for Microbial Research.

• open science
• meta-research
• publication science
• +۱۲ مورد دیگر

Dr. Jeremy Ng serves as an Assistant Professor (Part-Time) in the Department of Health Research Methods, Evidence, and Impact at McMaster University's Faculty of Health Sciences. He also holds positions as a Scientist at the Institute of General Practice and Interprofessional Care, University Hospital Tübingen & Robert Bosch Center for Integrative Medicine and Health in Stuttgart, Germany, and as an Associate Professor (Adjunct) at the School of Public Health, Faculty of Health, University of Technology Sydney in Australia. Dr. Ng's educational background includes a Ph.D. from McMaster University (2018-2021), an M.Sc. from the University of Toronto (2013-2015), and an H.B.Sc. from McMaster University (2009-2013). He completed postdoctoral training at the Ottawa Hospital Research Institute (2021-2025). Dr. Ng is an experienced health research methodologist with over 100 peer-reviewed publications focusing on evaluating and improving research practices across medicine. His research interests span open science, meta-research, publication science, research ethics and integrity, bibliometrics, artificial intelligence, and traditional, complementary, and integrative medicine. His work aims to assess, evaluate, and improve the quality of evidence in health research while enhancing the integrity and impact of published studies. Dr. Ng serves as Editor-in-Chief of the Journal of Complementary and Integrative Medicine and sits on the editorial boards of over 10 peer-reviewed journals. His recent scholarly output shows a clear trend toward examining research practices in traditional, complementary, and integrative medicine through meta-research approaches. His publications increasingly focus on open science practices, AI applications in scholarly communication, bibliometric analysis of alternative medicine literature, and cross-disciplinary survey research examining perceptions of complementary medicine across medical specialties. Invited expert at WHO technical meeting on traditional medicine and artificial intelligence Current member of WHO Topic Group on Traditional Medicine under Global Initiative on Artificial Intelligence for Health Dr. Ng's research has been widely recognized, featured in prominent media outlets including Nature, Scientific American, Discover Magazine, Psychology Today, and PsychCentral. He has led numerous international cross-sectional surveys examining perceptions of complementary and integrative medicine across various medical specialties, including surgery, cardiology, pediatrics, neurology, and oncology. His current work focuses on developing tools for journal transparency and assessing AI chatbot policies in academic publishing. Dr. Ng is actively involved in advancing research education through initiatives like the URNCST Journal Artificial Intelligence-Assisted Encyclopedia Entry Initiative and the URNCST Journal Research Methods Primer, demonstrating his commitment to training the next generation of researchers in methodological rigor and innovation.

• Fault diagnosis
• Control systems
• Mathematical modelling
• +۷ مورد دیگر

Dr Mark Ng is a Reader (equivalent to Associate Professor) in Mechatronics Engineering and Control at the School of Engineering, Ulster University. He is also attached to the Engineering Research Institute and leads the Multi-Agent and Advanced Robotics Centre (MAvRiC). Additionally, he serves as an Adjunct Senior Research Fellow at Monash University Malaysia. Education: Ph.D. in Fault Diagnosis and Control Systems, Monash University (2009) BEng (Hons) in Electrical and Computer Systems Engineering, Monash University (2006) Research Interests: Dr Ng’s research spans fault diagnosis, control systems, mathematical modelling, digital twin technologies, and data analytics for anomaly detection and classification. His work has been applied across automotive systems, renewable energy, water treatment, and public health modelling. His recent publications reflect a strong focus on developing robust digital twins for automotive engines, creating hybrid model-based and data-driven fault isolation techniques, and modelling infectious disease dynamics such as COVID-19 to inform public health policy. He has also contributed to smart home technologies and advanced control architectures. Awards and Honours: Learning and Teaching Award, Ulster University (2020) Monash University PVC’s Awards for Excellence in Research and Teaching (2010–2012) Funding and Leadership: He has secured over £6.5 million in research funding from bodies such as EPSRC, UKRI, and GCRF. He currently leads the EPSRC-funded "Empowering Green Futures" project developing energy mapping digital twin technology for wind turbines. He has supervised 2 postdocs, 8 PhD candidates, and 3 Master’s by Research students. Labs and Teams: Dr Ng directs the Multi-Agent and Advanced Robotics Centre (MAvRiC) and collaborates with the Offshore Renewable Energy Catapult, Digital Catapult, and various national and international research networks.

Cuncong Zhongمشاهده پروفایل

استادیار

• Computational Biology
• Bioinformatics
• Non-coding RNA Structure and Function
• +۵ مورد دیگر

Cuncong Zhong, Ph.D. , is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas , where he leads the Zhong Lab in computational biology and bioinformatics. His research focuses on developing accurate and efficient computational methods to tackle biological challenges, with emphasis on non-coding RNA structure and function, metagenomics, cancer genomics, and precision medicine. Education: Ph.D. in Computer Science, University of Central Florida M.S. in Computer Science, University of Central Florida B.S. in Computer Science and Biotechnology, Huazhong University of Science and Technology Research Interests: Dr. Zhong's research spans several key areas in computational biology: Computational Biology & Bioinformatics: Developing algorithms and data structures for biological data analysis Non-coding RNA: Investigating RNA structural motifs and their functional implications Metagenomics: Creating peptide-centric analysis tools for microbial community studies Cancer Genomics: Analyzing NGS data to identify cancer-related genetic variations Precision Medicine: Applying computational approaches to personalized medicine Scientific Awards: Best Paper Award - IEEE ICCABS 2012 (cover page story) Outstanding Thesis Award - University of Central Florida 2013 Traveling Fellowships - ISBRA 2015, IEEE ICCABS 2012 Teaching & Mentorship: Dr. Zhong teaches EECS730: Introduction to Bioinformatics , covering topics from sequence alignment to RNA structure prediction. His lab actively recruits motivated students with backgrounds in algorithms, programming, or biology. The lab's website explicitly mentions seeking new students to join their computational biology research efforts. Research Lab & Collaborations: The Zhong Lab at the University of Kansas focuses on developing computational tools for biological discovery. They collaborate with experimental biologists to understand fundamental life processes, particularly in areas of RNA biology and microbiome research. The lab has developed several software packages including GRASP, GRASPx, and RNAMotifScanX for various bioinformatics applications.

Marcus Ngمشاهده پروفایل

دانشیار

• Sleep and Epilepsy
• Quantitative Electroencephalography (EEG)
• Clinical Neurophysiology
• +۷ مورد دیگر

Marcus Ng is an Associate Professor of Neurology at the Max Rady College of Medicine, University of Manitoba, with an adjunct appointment in Biomedical Engineering at the Price Faculty of Engineering. He specializes in clinical neurophysiology and epileptology, and serves as Director of the Dreamspike Research Laboratory and Principal Investigator at the PrairieNeuro Research Centre, Kleysen Institute for Advanced Medicine. Max Rady College of Medicine, University of Manitoba Department of Internal Medicine, Section of Neurology Adjunct, Biomedical Engineering, Price Faculty of Engineering Principal Investigator, PrairieNeuro Research Centre Director, Dreamspike Research Laboratory Dr. Ng's research centers on the anti-epileptic properties of REM sleep, a phenomenon his lab terms "dreamspike," where epileptic activity breaks through the normally inhibitory state of REM sleep. His work spans quantitative EEG , critical care neurophysiology , chronobiology , and neuromodulation using hd-tDCS. He employs advanced techniques including EEG, neuroimaging (MRI, PET), and sleep laboratory experiments to explore mechanisms and develop clinical applications. The 15 most recent publications reflect a strong focus on sleep-epilepsy interactions , critical care EEG , quantitative EEG biomarkers , and translational neurology . His research integrates clinical neurophysiology with engineering and data science, emphasizing real-time monitoring, seizure detection, and interdisciplinary collaboration. Themes include circadian influences on epilepsy, surgical timing, and non-invasive brain stimulation. Dr. Ng has received numerous scientific awards, including: Warren T. Blume Award, Canadian Society of Clinical Neurophysiologists (2024) Fellow, American Epilepsy Society (2022) Fellow, American Clinical Neurophysiology Society (2019) Travel grants and presentation awards from ACNS, ILAE, AAN, and others Multiple scholarships and awards from the University of Alberta (2000–2005) He has supervised over 40 trainees, including graduate students, residents, and medical students, many of whom have won national and international awards. He is actively involved in medical education as an examiner for the CSCN and other boards, serves on committees of major neurological societies, reviews grants and journals, and lectures at national teaching courses. His lab is currently hiring research associates, post-docs, MSc, and summer students, with opportunities in both patient-facing and data-facing roles. Dr. Ng leads the Dreamspike Research Laboratory, which collaborates with the Manitoba Centre for Nursing and Health Research, Canadian Epilepsy and Mother-Infant Health Group, Critical Care EEG Monitoring Research Consortium, and the Sleep and Epilepsy Workgroup. The lab fosters a multidisciplinary environment bridging clinical neurology and biomedical engineering.

Bernd Jaglaمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Single-cell RNAseq analysis
• Cytometry data analysis
• +۷ مورد دیگر

Bernd Jagla is a Bioinformatics Research Scientist at the Pasteur Institute in Paris, France, where he has been working since 2009. Currently affiliated with the Bioinformatics and Biostatistics Hub (C3BI) and the Biomarker Discovery Platform, he previously held positions at Columbia University and Memorial Sloan Kettering Cancer Center in New York City. His educational background includes a PhD in Bioinformatics from the Free University Berlin (1999), a Chemistry Diploma from Free University Berlin & Technical University Munich (1989-1995), and Computer Science studies at Free University Berlin (1990-1991). Jagla's research focuses on bioinformatics applications for high-throughput biological data. His expertise spans single-cell RNAseq analysis, cytometry data processing, function prediction from sequence data, image analysis, mass spectrometry data analysis, and workflow management systems. He has developed several bioinformatics tools including SCHNAPPs for single-cell RNAseq analysis, KNIME extensions for Next Generation Sequencing, and Clean-ngs for adapter removal in sequencing data. His work demonstrates a strong emphasis on data quality assurance and visualization methodologies. His scientific achievements include: caBIG™ Embodying the Vision Award (2007) DFG Fellowship of the Graduiertenkolleg (1997-1999) Jagla actively contributes to bioinformatics training programs at Pasteur Institute, including the Bioinformatics program for PhD students financed by the INCEPTION program. He collaborates across multiple research teams and platforms, providing critical bioinformatics support for cytometry, next-generation sequencing, and microarray data analysis. His work bridges computational methods with biological applications, particularly in immunology and infectious disease research. As a key member of the Bioinformatics and Biostatistics Hub, he supports the Human Immunology Center and contributes to technological developments in bioinformatics infrastructure at the institute, working closely with the Transcriptome and Epigenome platform and the Biomarker Discovery Platform.

• Neuroradiology
• Neurodegenerative disorders
• Epilepsy
• +۴ مورد دیگر

Christopher Hess, MD, PhD is the Alexander R. Margulis Distinguished Professor and Chair of the Department of Radiology and Biomedical Imaging at the University of California, San Francisco (UCSF) School of Medicine. With over 15 years of faculty experience at UCSF, Dr. Hess has held numerous leadership positions including Chief of Neuroradiology at UCSF and the San Francisco VA, and Fellowship Director for Neuroradiology. He completed his medical and doctoral training at the University of Illinois before joining UCSF for residency and fellowship. Education and Training: PhD in Electrical Engineering, University of Illinois (1999) MD, University of Illinois School of Medicine (2002) Internal Medicine Internship, California Pacific Medical Center (2002-2003) Radiology Residency, UCSF (2003-2007), serving as Chief Resident (2006-2007) Neuroradiology Fellowship, UCSF (2007-2008) Board Certified in Radiology (2007) and Neuroradiology (2009) Research Interests: Dr. Hess's research focuses on the translational application of advanced MR imaging techniques to understand and diagnose neurological conditions. His primary areas of investigation include vascular disease, brain development and degeneration, and epilepsy, with particular emphasis on diffusion imaging and ultra-high-field MRI methodologies. His work bridges engineering principles with clinical neuroscience to develop novel imaging biomarkers for neurological disorders. Specializing in quantitative neuroimaging, Dr. Hess has made significant contributions to understanding neurodegenerative processes in conditions like Huntington's disease using 7T MRI. His research program investigates how advanced imaging techniques can detect early changes in brain structure and function before clinical symptoms manifest, potentially enabling earlier intervention strategies. Dr. Hess has been particularly active in developing and applying diffusion MRI and fiber tractography techniques to map brain connectivity changes in various neurological conditions. Scientific Awards and Honors: International Society for Magnetic Resonance in Medicine Fellow (2023) International Academy of Medical and Biological Engineering Fellow (2020) American Society for Functional Neuroradiology Fellow (2020) American Institute for Medical and Biological Engineering Fellow (2018) American Society of Neuroradiology Best Paper Award in Functional Neuroradiology (2006) Academy of Radiology & Biomedical Imaging Research Council of Distinguished Investigators (2020) UCSF Elmer Ng Award for Outstanding Resident in Radiology (2007) Research Funding and Leadership: As Principal Investigator and Co-PI on multiple NIH-funded projects, Dr. Hess has secured significant research support for his work in advanced neuroimaging. His current projects include 'Improved Monitoring of Premanifest and Early Huntington's Using 7T Multimodal MRI' (NIH R01NS099564) and 'Towards Baby Brain Connectome: a Study of Newborn Brain Networks' (NIH R01HD072074). As Department Chair, he oversees one of the nation's leading academic radiology departments with extensive research programs spanning multiple imaging modalities and clinical applications. Dr. Hess has been instrumental in establishing UCSF as a leader in ultra-high field MRI research, particularly in neurological applications.

• Biodiversity Conservation
• Human-Wildlife Coexistence
• Climate Change Impacts
• +۷ مورد دیگر

Anna Treydte is an Associate Professor in Nature and Environmental Management at the Department of Physical Geography, Stockholm University. She also holds Adjunct Professor positions at the University of Hohenheim (Ecology of Tropical Agricultural Systems) and the Nelson Mandela African Institution of Science and Technology (Dept of Life Sciences and Bioengineering). Her interdisciplinary research spans across multiple continents, addressing biodiversity conservation, human-wildlife coexistence, and sustainable rangeland management in diverse ecosystems including temperate climates (Germany, Sweden, Italy), desert environments (Mongolia, Saudi Arabia), savanna systems (eastern and southern Africa), mountain regions (Andes), and tropical forests (China, Vietnam, Thailand, Tanzania). Dr. Treydte's primary research focus lies in assessing how climate change and human activities alter structural, species and functional biodiversity of flora and fauna in natural and agro-ecological systems. She investigates plant-animal interactions, animal population management, human-wildlife coexistence, livestock impacts on rangelands, and shifts in nutrient cycling and carbon stocks across landscapes with varying human land use pressure. Her work uniquely integrates socio-ecological aspects, recognizing that sustainable human-wildlife coexistence requires local stakeholder participation in resource use decision-making. She employs diverse methodological approaches including field observations, laboratory experiments, GPS tracking, and socio-economic surveys to address complex conservation challenges. Her publication record demonstrates a strong focus on understanding human-environment interactions across diverse ecosystems. Recent work examines wildlife-livestock dynamics, invasive species management, land use change impacts on biodiversity, and socio-ecological approaches to conservation. A notable trend in her research is the integration of empirical field data with advanced modeling techniques to understand ecological processes across spatial and temporal scales. Her work frequently addresses the practical implications of ecological research for sustainable land management and conservation policy, with direct applications for pastoral communities and protected area management. Dr. Treydte actively supervises numerous graduate students at both the master's and doctoral levels, with current projects spanning topics from human-wildlife conflict to rangeland restoration technologies. She leads multiple research projects including 'Human-Wildlife Coexistence,' 'Rangeland Ecology,' and 'Invasive Plant Species Management,' funded by various sources including Stockholm University, FORMAS, and international collaborations. Her laboratory group, NG| Landskapsekologi (Landscape Ecology), conducts field work across multiple continents, with particular emphasis on eastern Africa. The group employs interdisciplinary approaches that combine ecological field studies, socio-economic surveys, and advanced spatial analysis to address pressing conservation challenges in human-dominated landscapes.

Dongli Liuمشاهده پروفایل

پژوهشگر ارشد

• Cancer Cell Biology
• Cancer Therapy (excluding chemotherapy and radiation therapy)
• Bioinformatics and Computational Biology
• +۵ مورد دیگر

Dr. Dongli Liu is a Research Fellow in the School of Clinical Medicine at the Lowy Cancer Research Centre , University of New South Wales (UNSW Sydney) . She specializes in gynaecologic oncology , focusing on ovarian cancer , endometrial cancer , and biomarker discovery through advanced preclinical models and next-generation sequencing (NGS) techniques. Grants: UNSW 3Rs Grant (2024), Endometriosis Australia Project Grant (2021), MAZDA Foundation Grant (2022), UNSW EMCR Seed Grant (2023), UNSW Medicine ECAN-Ramaciotti Centre ECR Grant (2022) Awards: WHRTN Emerging Leaders Fellowship (2025), ANZGOG Best Poster Award (2023), ANZGOG Abstract Award (2022), GEDDA Award (2017), Chinese Government Award (2016) Her research integrates molecular biology with bioinformatics , particularly through patient-derived primary cell culture and organoid models . Her recent publications analyze deep learning approaches for cancer cell identification, 2D/3D model comparisons , and ROR1/ROR2 targeting in gynaecological cancers. She currently supervises 3 postgraduate researchers (1 Honours, 2 PhD candidates).

Peter Manoharمشاهده پروفایل

پژوهشگر

• Theoretical Computer Science
• Algorithms
• Coding Theory
• +۴ مورد دیگر

Peter Manohar is a postdoctoral researcher in the Computer Science and Discrete Math group at the Institute for Advanced Study , focusing on Theoretical Computer Science with emphasis on algorithms, coding theory, and cryptography. His work explores spectral algorithms for semirandom and smoothed instances of NP-hard constraint satisfaction problems, linking these methods to coding theory, extremal combinatorics, and cryptography. Education: PhD in Computer Science from Carnegie Mellon University, advised by Venkatesan Guruswami and Pravesh K. Kothari B.S. in EECS from UC Berkeley, advised by Alessandro Chiesa and Ren Ng Research Trends: His recent publications highlight advancements in spectral refutation techniques, locally decodable/correctable codes, and connections between complexity theory and coding. Articles span venues like FOCS, STOC, APPROX, and arXiv, reflecting his interdisciplinary approach. Awards: He has received prestigious NSF and Cylab Presidential Fellowships, along with ARCS scholarships during his PhD. His work on quantum proofs (TCC 2019) and constraint satisfaction problems has been recognized in invited journal special issues. Teaching & Collaboration: Peter has taught courses at Carnegie Mellon, including Quantum Computing and Computer Graphics. He interned at TTIC in Summer 2023 and co-organized CMU's Theory Club, demonstrating active engagement in academic communities.

• Biodiversity Genomics
• DNA Barcoding
• Taxonomy
• +۵ مورد دیگر

Dr. Jonas Astrin is a prominent researcher at the Leibniz Institute for the Analysis of Biodiversity Change (LIB), specializing in biodiversity genomics, DNA barcoding, and taxonomy. He serves as project leader for multiple international initiatives including CaBOL (Caucasus Barcode of Life), FOGS, ZooRepository, ISBER Best Practices, GGBN, and the Frozen Ark Project. His work bridges molecular biology, conservation, and biodiversity informatics to address pressing global biodiversity challenges through genomic approaches. Dr. Astrin's research interests center on biodiversity genomics and molecular systematics, with particular focus on DNA barcoding methodologies, biobanking infrastructure, and conservation genetics. His work spans taxonomic groups from insects (especially Coleoptera) to birds and mammals, with significant contributions to standardizing genomic protocols for biodiversity research. He has developed innovative approaches for specimen collection, DNA extraction, and genomic analysis that support large-scale biodiversity documentation and conservation efforts worldwide. Analysis of Dr. Astrin's publication record reveals a strong trajectory in developing genomic resources for biodiversity conservation, with increasing emphasis on standardizing methodologies for sample collection and processing. His recent work demonstrates integration across taxonomy, genomics, and conservation biology, with practical applications ranging from wildlife forensics to reference genome assembly. He has made substantial contributions to biobanking standards and DNA barcoding protocols that are now widely adopted in biodiversity genomics initiatives globally. Dr. Astrin leads multiple funded projects demonstrating successful grant acquisition and management skills. His collaborations span institutions across Europe and beyond, reflecting his standing in the international biodiversity genomics community. He has contributed significantly to infrastructure development for biodiversity research, particularly through his work on biobanking standards and genomic resource management. Working within the Centre for Molecular Biodiversity Research at LIB, Dr. Astrin collaborates with teams focused on DNA barcoding, genomics, and biobanking infrastructure. His work connects closely with the museum's extensive biological collections, leveraging these resources for genomic research while developing protocols to preserve specimens for future genomic analyses. His leadership in projects like CaBOL and FOGS has established regional networks for biodiversity genomics that extend LIB's research impact internationally.

Richard Dobsonمشاهده پروفایل

استاد

• Medical Bioinformatics
• Health Informatics
• Machine Learning
• +۶ مورد دیگر

Professor Richard Dobson holds dual appointments at King's College London and University College London, serving as Head of the Department of Biostatistics & Health Informatics at King's IoPPN. He is Deputy Director of the NIHR Maudsley Biomedical Research Centre and co-director of the EPSRC Centre for Doctoral Training in Data-Driven Health. His research focuses on medical bioinformatics, AI-driven healthcare, and remote patient monitoring through platforms like CogStack and RADAR-Base. Key contributions include the development of AI models like Foresight for predicting clinical events and leveraging wearable devices for mental health and chronic disease management. Dobson collaborates with regulators and industry to ensure ethical AI use in healthcare, including national foundation models for electronic health records. His work has been recognized with awards for AI innovation in healthcare. Education: Details not explicitly provided in text, but his roles suggest advanced training in bioinformatics, computer science, or related fields. Research interests include biomarkers, genomics, machine learning, and data integration. He leads major initiatives like the EDIFY program on eating disorders and the MAAM study on ADHD and menstruation. His projects often involve partnerships with NHS, Databricks, and AWS to advance digital health solutions. Scientific awards include the 2021 Artificial Intelligence in Health and Care Award for CogStack. His grants and collaborations span national and international programs, including the NIHR Mental Health Mission and EU-funded projects. Labs/Teams: Co-leads the Centre for Translational Informatics (CTI), integrates AI and clinical data to improve healthcare delivery. Directs the EPSRC CDT in Data-Driven Health, training next-generation researchers in health informatics.