جست‌وجوی استاد و پژوهشگر

Karin Norénمشاهده پروفایل

دانشیار

• Conservation Biology
• Population Genetics
• Arctic Ecology
• +۳ مورد دیگر

Karin Norén is an Associate Professor and Researcher at the Department of Zoology , Stockholm University . She leads the Swedish Arctic Fox Project , focusing on the Arctic fox's ( Vulpes lagopus ) interactions with ecosystems, survival, demography, and genetics. University: Stockholm University Department: Department of Zoology, Ecology Division Academic Rank: Associate Professor (Docent in Swedish) Her research spans Conservation Biology , Genetics , and Arctic Ecology . She investigates genomic consequences of inbreeding, genetic rescue, and fragmentation in endangered carnivores, particularly Arctic fox populations. Her work includes analyzing mutational load, survival strategies, and ecosystem dynamics under climate change and human impact. Recent publications highlight genetic diversity , conservation genomics , and wildlife management in Arctic ecosystems. Key themes include genetic rescue , inbreeding depression , and population recovery using genomic tools. She collaborates with institutions like the Oskar Klein Centre for Cosmo Particle Physics and contributes to global initiatives such as the European Reference Genome Atlas . Her work bridges theoretical and applied approaches to safeguard biodiversity in polar regions.

• Biomedical Informatics Systems
• Spatio-Temporal Data Integration
• Biomedical Ontologies
• +۵ مورد دیگر

Albert Georg Burger is a Professor in the School of Mathematical and Computer Sciences at Heriot-Watt University, United Kingdom. He also holds a part-time secondment to the MRC Human Genetics Unit in Edinburgh as a Biomedical Informatics Scientist. His research spans biomedical informatics systems, semantic web technologies, and spatio-temporal data integration. Education: BSc (1988), MSc (1991), PhD (1996) in Computer Science Key roles: Senior Lecturer (Heriot-Watt, 2004), Founder of the Biomedical Informatics Systems Engineering Lab (BISEL) His primary research focuses on distributed biomedical informatics systems , including the integration of data and computational biomedical models, particularly in spatio-temporal frameworks like the Edinburgh Mouse Atlas. He also works on biomedical ontologies, semantic web technologies, and eHealth applications, with a strong emphasis on knowledge transfer to biomedical end-users. Recent publications highlight his work on clinical data integration , 3D human reference atlas construction , and visual biomedical data analysis tools , often leveraging semantic web technologies and ontologies. Collaborative efforts include contributions to the Human BioMolecular Atlas Program (HuBMAP) and the Human Gut Cell Atlas roadmap. Scientific awards: Fulbright Scholarship Academic affiliations: Heriot-Watt University, MRC Human Genetics Unit Burger founded the Biomedical Informatics Systems Engineering Lab (BISEL) at Heriot-Watt University, leading interdisciplinary efforts to bridge computer science and biomedical research.

Marth Labمشاهده پروفایل

استاد

• Computational Genomics
• Rare-Disease Diagnostics
• Precision Oncology
• +۷ مورد دیگر

The Marth Laboratory at the University of Utah Medical School is a leading computational genomics group focused on rare-disease diagnostics, precision oncology, and somatic mosaicism discovery. Affiliated with the Utah Center for Genetic Discovery and Department of Human Genetics , the lab develops tools like gene.iobio and RUFUS for variant analysis and clinical interpretation. Research Interests: Developing reference-free k-mer variant detection algorithms Machine learning for phenotype-driven patient matching in rare diseases Precision oncology through tumor omics integration Somatic mosaicism mapping across human tissues Interactive genomic visualization tools for clinical use Software Highlights: gene.iobio - Real-time variant annotation clin.iobio - Clinical variant review RUFUS - De novo variant calling superseeker - Tumor clone reconstruction

Sarah Teichmannمشاهده پروفایل

استاد

• Genomics
• Bioinformatics
• Immunology
• +۵ مورد دیگر

Professor Sarah Teichmann holds the Chair in Stem Cell Medicine at the University of Cambridge's Cambridge Stem Cell Institute and Department of Medicine. Her research focuses on using genomics and bioinformatics to map cellular diversity, particularly in the immune system and human development. A co-founder of the Human Cell Atlas (HCA) consortium, she leads efforts to create comprehensive reference maps of all human cells. Her lab combines experimental and computational approaches, with expertise in single-cell and spatial genomics, and has pioneered methods like CellPhoneDB for cell-cell communication analysis. Education and Career Path: PhD from the MRC Laboratory of Molecular Biology (Cambridge). Former Head of Cellular Genetics at the Wellcome Sanger Institute (2016–2024). Moved to her current role in 2024. Research Interests: Deciphering tissue architecture through cell atlases, immune system development, computational method development, and translational applications of genomics. The lab's work spans immunology, developmental biology, and cancer, with a focus on integrating spatial and single-cell data. Key Achievements: Published major HCA papers in Nature (2024), including multi-omic embryonic skeletal and limb studies. Recognized with awards like the EMBO Gold Medal and FEBS|EMBO Women in Science Award. Serves as an EMBO Member and Royal Society Fellow. Awards: Includes prestigious honors such as the Genetics Society Mary Lyons Award and Biochemical Society GlaxoSmithKline Award. Co-leads the CIFAR MacMillan Multiscale Human Research Programme. Grants and Funding: Supported by EU Horizon 2020, Wellcome Trust, Chan-Zuckerberg Initiative, and UK Research and Innovation (UKRI). Labs and Teams: The Teichmann Lab is a global hub with members from diverse disciplines. Collaborates widely across institutions, including the Sanger Institute and EMBL-European Bioinformatics Institute.

Sarah Teichmannمشاهده پروفایل

استاد

• Systems Biology
• Genome Biology
• Single Cell Genomics
• +۵ مورد دیگر

Dr. Sarah Teichmann serves as Director of Research at the Cavendish Laboratory (Department of Physics) at the University of Cambridge and heads the Cellular Genetics programme at the Wellcome Sanger Institute. She co-founded and co-leads the international Human Cell Atlas consortium, a global initiative with over two thousand members mapping cellular composition across human tissues. Her research integrates single-cell genomics with computational methods to decode cellular diversity in human development and disease. Key focus areas include tissue microenvironment architecture, immune system dynamics, and developmental biology, leveraging machine learning to bridge experimental ('wet') and computational ('dry') science. This work pioneers reference maps for human cells through cutting-edge cell atlas technologies. Major recognitions include: EMBO Gold Medal Genetics Society Mary Lyons Award Biochemical Society GlaxoSmithKline Award She holds elite fellowships as an EMBO Member, ISCB Fellow, and Fellow of both the Academy of Medical Sciences and the Royal Society. Her leadership in the Human Cell Atlas exemplifies large-scale interdisciplinary collaboration driving biological discovery.

Christopher Masonمشاهده پروفایل

استاد

• Computational Biology
• Genomics
• Space Biology
• +۷ مورد دیگر

Christopher Mason is a Professor at Weill Cornell Medicine's Graduate School of Medical Sciences. His research focuses on computational and experimental genomics, particularly in understanding the genetic elements that orchestrate human brain development and disease mechanisms. Affiliated with programs in Physiology, Biophysics & Systems Biology and Computational Biology . Develops molecular maps of genetic, epigenetic, and translational activity to create a 'molecular recipe' for brain development. Investigates space biology through initiatives like the 10-phase, 500-year plan to reengineer biology for extraterrestrial habitation. His recent work spans wastewater sequencing for pandemic surveillance, spaceflight-induced biological changes, and multi-omic analyses of diseases like glioblastoma and lymphoma. Publications emphasize bioinformatics , single-cell analysis , and space omics .

Hanchen Wangمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence for Science
• Biomedical AI Agents
• Multi-omics Analysis
• +۷ مورد دیگر

Hanchen Wang is a Postdoctoral Research Fellow at Stanford AI Lab and Genentech, working under Jure Leskovec and Aviv Regev. He holds a PhD in Computer Science from Cambridge University completed in 3 years under Joan Lasenby, and a BS in Physics from Nanjing University where he was valedictorian. His research bridges artificial intelligence and biomedical discovery, with appointments spanning both academic and industry settings. Wang's research focuses on AI for Science , particularly developing autonomous agents for biomedical discovery. His work spans multi-omics analysis , spatial transcriptomics , live-cell imaging , and perturbation assays , with applications in cancer therapeutics , autoimmune diseases , and neurological disorders . He has pioneered multiple AI agent frameworks including Biomni (a general-purpose biomedical agent), SpatialAgent, and PerTurboAgent for specialized biological discovery tasks. His publication record demonstrates significant impact across both computer science and biology venues, with first-author papers in Nature , Nature Biotechnology , and NeurIPS . His research has been deployed by Anthropic, Amazon Web Services, and Genentech, and featured in Nature , The Economist , and DeepMind communications. Chan Zuckerberg Initiative Faculty Applicant Bootcamp participant UCSF Gladstone Institute Trainee-to-Tenure Track Program member OpenAI Researcher Access Program recipient Multiple conference travel awards Wang actively mentors early-career researchers including PhD students from institutions like CSHL, MIT, Harvard, and KAIST. He serves as Area Chair for ICLR 2026, organizes workshops on AI for Science at major conferences, and gives invited talks at leading institutions including Harvard, Yale, and the Broad Institute. His research is supported by Genentech internal funding ($500k/year) and OpenAI resources.

John Wirthlin Hickeyمشاهده پروفایل

استادیار

• Systems Biology
• Biomedical Engineering
• Immunology
• +۴ مورد دیگر

John Wirthlin Hickey is an Assistant Professor of Biomedical Engineering at Duke University's Pratt School of Engineering , with secondary appointments in Cell Biology & Bioinformatics and Biostatistics & Bioinformatics. He is also a member of the Duke Cancer Institute. PhD, Biomedical Engineering, Johns Hopkins University School of Medicine (2019) Postdoctoral Training, Nolan Lab, Stanford University (2023) Dr. Hickey's research focuses on systems immunology tools and spatial cellular interactions in tissues, particularly for cancer immunotherapy applications. His work integrates multiplexed imaging , computational modeling , and biomaterials engineering to analyze and manipulate immune-tumor dynamics. The 15 most recent publications span topics in spatial serology , hydrogel-based immunotherapy , macrophage heterogeneity , and 3D human reference mapping . Key collaborative projects include contributions to the Human BioMolecular Atlas Program (HuBMAP) and development of artificial lymph node matrices . Scientific Awards: NSF Graduate Research Fellowship ARCS Scholar Siebel Scholar NCI Postdoctoral Fellowship American Cancer Society Postdoctoral Fellowship NSF CAREER Award (2025) Dr. Hickey's lab includes 15+ researchers spanning PhD students in Biomedical Engineering, Computer Science, and Cancer Biology, along with Masters and undergraduate students. His team has received grants from the National Science Foundation , NIAID , and NIGMS for projects on cellular heterogeneity, influenza immunology, and biomolecular training programs.

• Cognitive Neuroscience
• Autism Spectrum Disorder
• Brain Connectivity
• +۷ مورد دیگر

Lucina Qazi Uddin is a Clinical Professor in the Department of Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine, University of California, Los Angeles (UCLA). She directs the Brain Connectivity and Cognition Laboratory and serves as Principal Investigator on multiple NIH-funded neuroimaging studies focused on autism spectrum disorder (ASD) and cognitive neuroscience. Her research integrates advanced fMRI techniques with clinical populations to investigate neural flexibility, executive function, and brain network organization. Dr. Uddin earned her Ph.D. in Psychology from UCLA in 2006 and completed her B.S. in Neuroscience at UCLA in 2001. Her educational trajectory established the foundation for her pioneering work in developmental cognitive neuroscience. Her research interests center on brain connectivity in neurodevelopmental disorders, with particular expertise in autism spectrum disorder. She investigates how bilingualism enhances executive function in autistic children, the role of brain signal variability across lifespan, and the heterogeneity of ASD through individualized connectome mapping. Recent work emphasizes ethical frameworks for population neuroscience and dismantling privilege in academic evaluation metrics. 2025 publications demonstrate her leadership in methodological innovation (network correspondence toolbox, deep learning applications), translational ASD research (bilingualism effects, brain variability), and critical field advancement (responsible ABCD data use, social identity considerations). Her work spans foundational neuroscience (redefining brain concepts) to clinical applications (DMN as transdiagnostic biomarker). Scientific Awards: Fellow of OHBM (Organization for Human Brain Mapping, 2025) Linda Spear Mid-career Award (Flux Society, 2023) A.E. Bennett Award (Society of Biological Psychiatry, 2023) Diversity & Inclusivity Champion Award (OHBM, 2021) Azrieli Global Scholar (Canadian Institute for Advanced Research, 2018) Laureate in Medical Sciences (USERN, 2017) Early Career Investigator Award (OHBM, 2017) Slifka/Ritvo Innovation Award (International Society for Autism Research, 2013) Dr. Uddin has secured four major NIH grants as Principal Investigator, including the current R01HD116691 (2025-2029) on bilingualism in autism and R21HD111805 (2023-2025) on child-level brain organization. Previous grants focused on neural flexibility (R01MH107549) and autism connectivity (K01MH092288). While specific students aren't listed in the profile, her laboratory actively trains graduate researchers in neuroimaging analysis and clinical translation. She leads the Brain Connectivity and Cognition Laboratory at UCLA, which develops novel frameworks for brain network analysis. Her team collaborates with international consortia including the RECOVER-Pediatrics Consortium for Long COVID research and the Adolescent Brain Cognitive Development (ABCD) study. Current projects focus on longitudinal bilingualism effects and ethical standards for population neuroscience data.

Hanna Damasioمشاهده پروفایل

استاد

• Neuroscience
• Medical Imaging
• Neuropsychology
• +۴ مورد دیگر

Hanna Damasio is the Dana Dornsife Professor of Neuroscience and Director of the Dana and David Dornsife Cognitive Neuroscience Imaging Center at the University of Southern California . She also holds an Adjunct Professor position at the Salk Institute in La Jolla, California . Education: M.D., University of Lisbon Medical School (1969) Doctorate, University of Aachen (honorary) Doctorate, University of Lisbon (honorary) Research Focus: Hanna Damasio's work centers on neuroscience and medical imaging , particularly pioneering the use of brain imaging methods such as computerized tomography (CT) and nuclear magnetic resonance imaging (MRI) in the study of brain lesions. Her research has significantly advanced the modern lesion method , which is crucial for understanding the neural substrates of higher brain functions using structural and functional MR techniques and fMRI . Contributions: She is renowned for her detailed atlas, Human Brain Anatomy in Computerized Images , a standard reference in the field. Additionally, her book Lesion Analysis in Neuropsychology has received awards and is widely used by professionals including neurologists, neurosurgeons, psychiatrists, and neuroscientists. Labs and Teams: As the director of the Dana and David Dornsife Cognitive Neuroscience Imaging Center , she leads cutting-edge research in cognitive neuroscience and imaging.

Hannah Maria Leontine Ackermansمشاهده پروفایل

پژوهشگر

• Electronic Literature
• Digital Accessibility
• Database Criticism
• +۳ مورد دیگر

Hannah Maria Leontine Ackermans is a Postdoctoral Researcher at the Department of Linguistic, Literary and Aesthetic Studies, University of Bergen, actively contributing to electronic literature and digital accessibility research since 2015. She is affiliated with the Research Group Electronic Literature and Research Group for Digital Culture, and serves as a core member of the Center for Digital Narrative, funded by the Research Council of Norway (project reference 332643) with 26 participants producing 129 results. Her research interests prioritize: Electronic Literature : Examining its preservation, community dynamics, and transnational development Digital Accessibility : Pioneering accessibility features as literary aesthetics in digital works Database Criticism : Developing evaluation frameworks for academic databases Digital Hermeneutics : Analyzing text-context relationships in fragmented digital forms Narrative Theory : Investigating digital storytelling in globalized network societies Ackermans' publication trends reveal three distinct phases: foundational database criticism (2019-2020), community-focused electronic literature studies (2021-2023), and current accessible design applications (2024). Her work consistently bridges media theory, disability studies, and inclusive practice, with recent emphasis on projects like Accessible Bits 1.0 and the Glossary Project. Key journals include Electronic Book Review , Hyperrhiz , and Revista de Comunicação e Linguagens . No scientific awards are documented in the provided sources. Her research is exclusively funded through the Center for Digital Narrative project, where she collaborates with Astrid Ensslin and Richard Snyder on accessibility tools. Ackermans has not been identified as student advisor in any capacity. She operates within the Center for Digital Narrative alongside UiB's Research Group Electronic Literature and Research Group for Digital Culture. These teams focus on experimental digital narrative forms, with Ackermans leading initiatives like Access Works and ELO (Un)Linked. Her lab work emphasizes practical accessibility implementation and collaborative digital hermeneutics.

Bart Deplanckeمشاهده پروفایل

استاد

• Systems Biology
• Genomics
• Computational Biology
• +۶ مورد دیگر

Bart Deplancke is a Full Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Institute of Bioengineering (IBI-SV) and the School of Life Sciences (SV). He leads the Laboratory of Systems Biology and Genetics (LSBG), focusing on genome organization, regulation, and variation through three major research pillars: Adipo (adipose biology), Geno (genetic variation), and Techno (technology development). His work integrates computational, genomic, and experimental approaches to study stem cell differentiation, regulatory networks, and metabolic processes. He teaches courses in Genetics and Genomics and Single Cell Biology. Research interests include mesenchymal stromal cell heterogeneity, transcription factor function, and novel single-cell technologies like Live-seq and BRB-seq. Notable achievements include the discovery of adipogenesis-regulator cells (Areg) and the development of the Fly Cell Atlas. His lab has received prestigious awards, including the EMBO Membership (2023), Leenaards Science Prize (2022), and Cloëtta Prize (2021). Awards: EMBO Member, Swiss National Science Foundation Advanced Grant, Leenaards Prize, Cloëtta Prize. Technology Development: Live-seq, BRB-seq, ASAP analysis pipeline, SMiLE-seq. Grants: Supported by Swiss NSF, Innosuisse, Chan Zuckerberg Initiative, EMBO, and others. The lab collaborates on projects like the Fly Cell Atlas and has spun off companies such as Alithea Genomics. Current research explores adipose tissue heterogeneity, circadian regulation, and chromatin dynamics using cutting-edge genomic tools.

Mik Lisowskiمشاهده پروفایل

پژوهشگر

• Archaeology of Food and Cuisine
• Multi-faith and Multicultural Societies
• Urban Food Provisioning Systems
• +۵ مورد دیگر

Dr. Mik Lisowski is a Technical Specialist in Zooarchaeology at the University of York's Department of Archaeology, affiliated with BioArCh and PalaeoHub. His work focuses on applying zooarchaeological and isotopic methods to investigate religion, ethnicity, and food systems in past societies. Prior roles include Postdoctoral Research Associate on the Leverhulme-funded Urban Ecology and Transitions of the Zanzibar Archipelago project. He holds a PhD from the University of Sheffield (2019) on Jewish butchery practices and meat provisioning in medieval Europe. Education: PhD in Archaeology (University of Sheffield, 2019); AHRC-funded research on Jewish culinary practices using zooarchaeological and historical sources. Earlier work involved Neolithic studies in Poland, including bone tool analysis and isotopic investigations of animal husbandry. Research interests span archaeology of food, multi-faith societies, urban provisioning, taphonomy, isotopic analysis, Jewish cultural history, Swahili coast food systems, and Neolithic sociocultural transitions. He leads courses on zooarchaeology and practical bone analysis, and manages the BioArCh/PalaeoHub zooarchaeological reference collections. Current projects include modernizing collections and creating a 3D bone atlas from the Baker and Brothwell pathology collection. Teaching responsibilities include undergraduate courses on human and animal bones (co-leader) and archaeological science, as well as postgraduate modules on zooarchaeological identification and analysis. He serves as a zooarchaeological consultant for departmental research projects. Grants: Leverhulme Trust (Urban Ecology project), AHRC (PhD funding). Collaborations focus on integrating spatial data with archaeological findings, as seen in Zanzibar case studies. Future directions emphasize digital curation of archaeological resources and interdisciplinary approaches to cultural foodways. Labs/Teams: Active contributor to BioArCh and PalaeoHub facilities, promoting cutting-edge methodologies in biomolecular and isotopic analysis. Involved in international archaeological projects examining cultural identity through material remains.

Chen Wangمشاهده پروفایل

استادیار

• Random Matrix Theory
• Time Series Analysis
• High-dimensional Data Analysis

Dr. Chen Wang serves as an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Hong Kong, with visiting appointments at the University of Cambridge Faculty of Economics during June-August 2024, July-August 2022, and July-December 2019. His academic position and active research output confirm his status as a current faculty member engaged in interdisciplinary statistical research. His core research focuses on: Random Matrix Theory for high-dimensional covariance estimation Time Series Analysis in complex stochastic systems High-dimensional Data Analysis methodologies These statistical frameworks provide foundational tools for modern data-intensive scientific domains. Analysis of his 2022-2025 publications reveals a strategic expansion into biomedical AI applications, particularly in single-cell genomics and spatial biology. His work demonstrates consistent innovation in developing AI agents for biological experimentation (e.g., PerTurboAgent for Perturb-seq, SpatialAgent) and advancing molecular design through diffusion models. This trajectory shows a deliberate integration of his statistical expertise with cutting-edge computational biology challenges. No scientific awards or honors were documented in the provided materials. The available information contains no details regarding graduate student supervision, research grant funding, or laboratory affiliations. His visiting positions at Cambridge suggest collaborative international research activities, but specific advising relationships or grant mechanisms remain unreported in the source text.

• Neuroradiology
• Diagnostic Imaging
• Magnetic Resonance Imaging
• +۴ مورد دیگر

Sami Hurol Erbay, MD is an Associate Professor of Radiology at UMass Chan Medical School and holds a secondary appointment in the Department of Radiology, Division of Neuroradiology at T.H. Chan School of Medicine . His clinical and academic work is centered on advanced neuroimaging, with a focus on MRI physics, artifact reduction, and neurovascular imaging. Education: MD, Ankara University, Ankara, Turkey Research Interests: Dr. Erbay’s research spans several key areas in neuroradiology and diagnostic imaging. He has extensively studied magnetic resonance imaging artifacts and their differentiation from true pathology, contributing significantly to the understanding of MRI physics in clinical applications. He is also deeply involved in neurovascular imaging , including MR angiography and CSF flow dynamics, particularly in conditions like Chiari malformations and trigeminal neuralgia. His work on small vessel disease and its imaging biomarkers has provided insights into early neurodegenerative changes. Additionally, he has published on spinal cord pathology , brain abscess characterization , and oncologic neuroimaging . Publication Trends: From 2001 to 2015, Dr. Erbay published over 20 peer-reviewed articles, with a consistent focus on clinical neuroradiology , advanced MRI techniques , and neurovascular pathology . His work is heavily cited in the fields of diagnostic imaging, neurology, and radiology, with notable contributions to understanding MRI artifacts, trigeminal neuralgia imaging, and neurodegenerative biomarkers. Scientific Contributions: While no formal awards are listed, his scholarly impact is evident through high citation counts and inclusion in clinical guideline references. His work has been integrated into clinical practice and referenced in multiple imaging-related educational and diagnostic contexts. Clinical and Academic Roles: Dr. Erbay is actively involved in both clinical practice and academic teaching. His dual affiliations with UMass Chan Medical School and T.H. Chan School of Medicine highlight his integral role in radiology education and neuroradiology subspecialty training. His publications also reflect a commitment to medical education, particularly in radiology residency training.