جست‌وجوی استاد و پژوهشگر

• Immunology
• Virology
• Inflammation
• +۵ مورد دیگر

Santiago F. González is a Group Leader at the Institute for Research in Biomedicine (IRB) in Bellinzona, Switzerland, and an extraordinary professor at the University of Italian Switzerland (USI). He earned dual PhDs in microbiology (University of Santiago de Compostela, Spain) and immunology (University of Copenhagen, Denmark), followed by postdoctoral work (2007–2011) at Harvard Medical School's Immune Disease Institute under Michael Carroll. PhD in Microbiology, University of Santiago de Compostela PhD in Immunology, University of Copenhagen His research focuses on immune system dynamics during respiratory viral infections, vaccination, and cancer metastasis. Key areas include influenza recognition , lymph node inflammation , and immune cell behavior in vivo. He pioneered studies on C-type lectin receptors (e.g., SIGN-R1) in viral immunity and epigenetic modulators for inflammation. Recent publications highlight his work in epigenetic drug development , nanovaccines , and computational tools for immune cell tracking. His group uses two-photon intravital microscopy and spatial-temporal modeling to dissect immune responses. Scientific awards include three EU Marie Curie Fellowships (2004–2013), enabling his transition to independent research. His collaborations span Harvard, USI, and European institutions, with grants from the EU and Swiss research bodies. His lab at IRB, established via the 2013 Marie Curie Career Integration Grant , develops novel imaging approaches and therapeutic strategies for infectious and immune-mediated diseases.

Babak Hassibiمشاهده پروفایل

استاد

• Communications Theory
• Information Theory
• Adaptive and Statistical Signal Processing
• +۱۱ مورد دیگر

Babak Hassibi is a Professor of Electrical Engineering and Computing and Mathematical Sciences at the California Institute of Technology (Caltech). He obtained his B.S. from the University of Tehran (1989), M.S. and Ph.D. from Stanford University (1993, 1996), and has held positions at Caltech since 2001, including roles as Assistant Professor, Associate Professor, Professor, and Executive Officer. Education : University of Tehran, B.S. (1989) Stanford University, M.S. and Ph.D. (1993, 1996) Academic Roles : Assistant Professor, Caltech (2001–03) Associate Professor (2003–08) Professor (2008–13) Binder/Amgen Professor (2013–16) Bohn Professor (2016–) Executive Officer for Electrical Engineering (2008–15) Associate Director for Information Science and Technology (2010–12) Research Interests : Babak Hassibi’s work spans Communications , Signal Processing , Control Theory , and Machine Learning . He has contributed to wireless networks, genomic signal processing, multi-antenna systems, robust control, and high-dimensional statistics. His mathematical interests include Random Matrices and Group Representation Theory . Recent Publications highlight his focus on Adaptive Control , Stochastic Optimization , and Quantum Detection . Notable trends include Regret-Optimal Control , Stochastic Mirror Descent , and DNA Microarray Applications . Scientific Awards : Highly Cited Researcher Advising and Grants : He has advised numerous graduate students and postdocs, many of whom now hold prominent positions at institutions like MIT, USC, and Stanford. His research includes collaborations on patents and projects related to Wireless Communications and Genomic Technologies . Labs and Teams : Leads the Hassibi Group at Caltech, which explores nonlinear photonic systems, ultrafast optics, and quantum information processing.

Istvan Albertمشاهده پروفایل

استاد پژوهشی

• Bioinformatics
• Genomics
• Computational Biology
• +۵ مورد دیگر

Istvan Albert is a Research Professor of Bioinformatics at Pennsylvania State University , affiliated with the Department of Biochemistry and Molecular Biology . He leads the Bioinformatics Consulting Center and teaches BMMB 852: Applied Bioinformatics . Research Interests: Specializing in bioinformatics, large-scale biological data analysis, microarray and sequence analysis, scientific programming, algorithm development, and database-driven web development. His work spans gene ontology visualization , RNA-Seq analysis , and coronavirus research . Software Development: Created GeneScape for gene function visualization and bio for bioinformatics workflows. Maintains the Biostar Handbook series and the Biostars Q&A Forum , a leading bioinformatics resource.

Griffin Weberمشاهده پروفایل

دانشیار

• Biomedical Informatics
• Social Network Analysis
• Team Science
• +۵ مورد دیگر

Griffin Weber, M.D., Ph.D., is an Associate Professor of Medicine and Biomedical Informatics at Harvard Medical School (HMS) and Beth Israel Deaconess Medical Center (BIDMC). He directs the Biomedical Research Informatics Core (BRIC) at BIDMC. His research focuses on expertise mining, social network analysis, and biomedical informatics. Key contributions include developing Profiles RNS (an open-source research networking platform) and i2b2 / SHRINE federated query tools for clinical data. He holds MD and PhD degrees from Harvard (2007), and earlier degrees in bioengineering and computer science. Education: SB in Bioengineering (Harvard, 2000), SM/PhD in Computer Science (Harvard, 2004/2005), MD (Harvard, 2007). He served as Harvard Medical School's first Chief Technology Officer, building educational platforms for 500+ courses. His work spans DNA microarrays, breast cancer tumor modeling, and EHR bias analysis. Research Interests: Leveraging informatics to improve healthcare through federated data systems, team science dynamics, and EHR analysis. Projects include Profiles RNS for researcher networks and i2b2 for clinical data queries across institutions. He explores biases in EHR data filtering and visualizing healthcare system dynamics in biomedical data. Grant Leadership: Principal investigator on NIH grants addressing EHR biases (R01LM013345), healthcare system dynamics (U01CA198934), and scientific workforce networks (U01GM112623). Collaborator on PCORI and NIH-funded initiatives. Awards: 2020 Fellow of the American College of Medical Informatics; 2011 Top Podium Presentation (AMIA); 2007 Medical Technology Award (Massachusetts Medical Society). Labs/Teams: Leads BRIC at BIDMC, collaborates on i2b2/SHRINE, and contributes to the 4CE consortium for federated healthcare data analysis.

Jeremy Edwardsمشاهده پروفایل

استاد

• Pharmaceutical Chemistry
• Quantitative Biology
• Genomics
• +۵ مورد دیگر

Jeremy Edwards serves as a Professor in the Department of Chemistry at the University of New Mexico, where he maintains an active research program at the intersection of pharmaceutical chemistry, genomics, and computational biology. His work spans multiple disciplines with a particular focus on developing innovative technologies for DNA sequencing and analysis. Professor Edwards' research interests center around Pharmaceutical Chemistry, Quantitative Biology, and Genomic Technologies. His work has significantly contributed to the fields of metabolic engineering, genome sequencing, and systems biology. He has pioneered approaches in nanopore sequencing technology and developed computational frameworks for analyzing complex biological systems. His research group has made notable contributions to understanding metabolic networks through flux balance analysis and in silico modeling, with applications ranging from bacterial metabolism to mammalian systems. Analysis of Professor Edwards' publication record reveals a strong trend toward developing cutting-edge genomic technologies and computational approaches for biological analysis. His recent work focuses on spatial transcriptomics, nanopore sequencing innovations, viral genome surveillance, and target illumination for drug discovery. The publications demonstrate a consistent trajectory from foundational metabolic modeling work toward increasingly sophisticated genomic technologies and applications in drug target identification and validation. Professor Edwards has established himself as a leader in computational genomics with an extensive publication record including highly cited papers such as "In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data" (1297 citations) and "The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities" (1295 citations). His work on metabolic modeling has been particularly influential in systems biology. As an active researcher, Professor Edwards has mentored numerous students and collaborators, though specific student names aren't documented in the available materials. His research has attracted significant funding supporting the development of genomic technologies and computational approaches. His laboratory appears to focus on the intersection of bioinformatics, molecular biology, and engineering, with particular emphasis on next-generation sequencing technologies and their applications. Professor Edwards leads a research group that integrates computational modeling with experimental approaches to tackle challenges in genomic analysis and metabolic engineering. His team has developed innovative tools like the Sentieon Genomics Tools, described as "a fast and accurate solution to variant calling from next-generation sequence data." The group's work spans from fundamental research on DNA sequencing technologies to applied projects in viral surveillance and drug target identification.

Song Jun-myeongمشاهده پروفایل

استاد

• Analytical Pharmacology
• Nanomedicine
• 3D Bioprinting
• +۵ مورد دیگر

Song Jun-myeong is a Professor at Seoul National University (SNU) College of Pharmacy, specializing in Analytical Pharmacology and Nanomedicine. He has held leadership roles including Director of the Library and Information Center at SNU College of Pharmacy and Director of the Korean Biochip Society. Bachelor of Science, Sogang University (1991) Master of Science, Sogang University (1993) Ph.D., Kyushu University (1997) His research focuses on tumor clearing imaging, 3D bioprinting, drug analysis, and photodynamic therapy. He utilizes quantum dot-based imaging and single-cell cytometry for cancer diagnostics and drug mechanism studies. Analysis of his publications reveals a consistent emphasis on nanotechnology applications for pharmacological research, particularly in cancer diagnostics, drug resistance mechanisms, and antimicrobial nanomaterials. His work bridges analytical chemistry with biomedical applications. He serves on multiple scientific advisory boards and committees, including the Korean Society for Biotechnology and Bioengineering and the Pharmacist National Examination Question Development Committee. Song leads the Laboratory for Nanomedicine at SNU College of Pharmacy, advancing technologies in quantum dot imaging and nanomaterial synthesis for pharmaceutical applications.

• Molecular genetics
• Behavioral genetics
• Learning and memory
• +۳ مورد دیگر

Christopher Jones is a Professor of Biology at Moravian University. He has been affiliated with the institution since 1999, where he teaches courses in molecular biology and genomics. Jones is actively involved in the Genome Consortium for Active Teaching (GCAT) and the Genomics Education Partnership (GEP), integrating advanced genomic research into undergraduate education through initiatives like DNA microarray analysis and collaborative annotation of Drosophila genomic data. B.A. in Biology and Russian, Haverford College M.Phil. in Molecular Biophysics & Biochemistry, Yale University Ph.D. in Molecular Biophysics & Biochemistry, Yale University His research focuses on molecular genetics , particularly the genetic basis of learning and memory in Drosophila melanogaster . Earlier work explored bacterial flagellar assembly, including studies on Salmonella typhimurium as a postdoctoral fellow at Cold Spring Harbor Laboratory. Jones' work spans neurological research (Alzheimer's disease via presenilin gene analysis), genomics pedagogy, and evolutionary biology. Key article trends include genomics education (2014-2020), Drosophila memory mechanisms (1997-2007), and foundational bacterial motility studies (1985-1992). His work with GEP and GCAT demonstrates commitment to course-based undergraduate research experiences (CUREs). Scientific Awards : NIH Postdoctoral Fellow Henry Wendt Neuroscience Fellow Jones mentors students through research collaborations, with Moravian undergraduates appearing as co-authors on publications. He contributes to genomics education through curriculum development and national partnerships. His laboratory work historically focused on bacterial flagellar complexes and Drosophila neurogenetics.

Steven M Carrمشاهده پروفایل

استاد

• Molecular Evolution
• Genome Evolution
• Phylogeography
• +۷ مورد دیگر

Dr. Steven M. Carr is Professor of Biology at Memorial University of Newfoundland with a cross-appointment in Population Genetics to the Faculty of Medicine and affiliations with the Department of Computer Science. His research laboratory focuses on molecular and genome evolution within vertebrate species, with particular expertise in phylogeographic analysis using complete mitochondrial DNA genomes. Dr. Carr earned his BSc in Biology from California Polytechnic State University (1975), followed by a CPhil (1978) and PhD (1983) in Genetics from the University of California, Berkeley. His research methodology combines traditional molecular genetics with computational approaches, including Monte Carlo simulations and neural network analysis of genomic data. His primary research areas include: phylogeographic genomics of fisheries and wildlife populations (Atlantic Cod, Wolffish, Harp Seals, Newfoundland Caribou); biogeographic evolution of cods and pollocks; population genomic structure of Newfoundland's founding human populations; and development of novel biotechnologies including DNA sequencing microarrays. His work bridges evolutionary biology, conservation genetics, and computational genomics. Analysis of Dr. Carr's publication record reveals a clear progression from traditional phylogeographic studies toward increasingly sophisticated genomic analyses incorporating machine learning techniques. His recent work on honey bee evolution challenges established hypotheses about their biogeographic origins, while his research on ancient DNA lineages connects Newfoundland's Indigenous history with contemporary populations. Genome Editor's Choice Award, April 2020 Genome Editor's Choice Award, August 2018 Dr. Carr has successfully mentored numerous graduate students through PhD, MSc, and honors thesis programs, with research topics spanning conservation genetics, population genomics, and computational biology. His teaching portfolio includes Principles of Genetics (Biol 2250), Advanced Genetics (Biol 4241), Principles of Biotechnology (Biol 3950), and Evolutionary Genetics (Biol 4250), where he integrates theoretical concepts with practical genomic applications. The Carr Lab operates at the intersection of biology, computer science, and statistics, maintaining active collaborations with fisheries scientists, wildlife biologists, and medical researchers to address complex questions in evolutionary genomics and conservation biology.

Yongmin Liمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Artificial Intelligence
• +۱۲ مورد دیگر

Professor Yongmin Li is a Senior Member of the IEEE and Senior Fellow of the Higher Education Academy at the Department of Computer Science , Brunel University London , within the College of Engineering, Design and Physical Sciences . His work spans multiple domains including data science, artificial intelligence, medical imaging, and foveated rendering. He has consistently been ranked in the world's top 2% scientists by Elsevier's Standardized Citation Indicators since 2020. Research Interests include Data Science Medical Imaging Computer Vision Biomedical Engineering Natural Language Processing Set-Membership Filtering Scientific Awards include 1st Place, RETOUCH Challenge (Online), MICCAI 2023 2nd Place, FeTA Challenge, MICCAI 2022 Most Influential Paper over the Decade Award, MVA 2019 Best Paper Award, Bioimaging 2018 VC Prize, Brunel University 2015

• Multiple Sclerosis
• Neurogenetics
• Bioinformatics
• +۵ مورد دیگر

Sergio Baranzini is a Professor in the Department of Neurology at the University of California, San Francisco (UCSF) School of Medicine and a member of the UCSF Weill Institute for Neurosciences. With a distinguished career spanning over two decades at UCSF, Dr. Baranzini has established himself as a leading researcher in multiple sclerosis (MS) and neuroimmunology. Dr. Baranzini earned his BS/MS and PhD in Biochemistry/Biotechnology and Human Molecular Genetics from the University of Buenos Aires, Argentina, completing his PhD with honors in 1997. He then pursued postdoctoral training in neurogenetics at UCSF before joining the faculty in 2003. His research focuses on the genetic, genomic, and immunological aspects of multiple sclerosis, with particular emphasis on the gut-brain axis and microbiome's role in neuroinflammation. Dr. Baranzini's research employs a multidisciplinary approach integrating wet lab techniques (including DNA microarrays, proteomics, and laser capture microdissection) with dry lab analytical approaches (bioinformatics, complexity theory, and mathematical modeling). His work has revealed critical insights into MS pathogenesis, particularly how gut microbiota influences disease development and progression. Recent groundbreaking studies have demonstrated how specific gut bacteria from MS patients can trigger MS-like disease in animal models and how microbial metabolites affect remyelination processes. His laboratory has secured significant funding through multiple NIH grants, including as Principal Investigator on projects examining the genetic basis of MS progression and post-GWAS approaches to identify cell-specific genetic pathways underlying MS risk. As evidenced by his extensive publication record in top-tier journals including Science, Nature, and PNAS, Dr. Baranzini's work represents some of the most innovative research in neuroimmunology and MS pathogenesis. National Multiple Sclerosis Society (US) Advanced Postdoctoral Fellowship (2001) National Multiple Sclerosis Society (US) Harry Weaver Neuroscience Scholar Award (2009-2014) Department of Neurology UCSF Endowed Chair in Neurology (2010) National Multiple Sclerosis Society Stephen C. Reingold Award (2015) Department of Neurology UCSF Distinguished Professorship in Neurology I (2019) Department of Neurology UCSF Neurology Research Incentive Program 2 (N-RIP2) (2023) Barancik Prize for Innovation in Multiple Sclerosis Research (2024) Dr. Baranzini serves as an ad-hoc reviewer for numerous specialized journals and is an elected member of the American Neurological Association. His laboratory (iMSMS) actively collaborates with interdisciplinary teams worldwide to integrate knowledge across research domains through systems biology approaches. His current NIH-funded research explores automated evidential support from raw data for relay agents in biomedical knowledge graph queries and investigates the genetic basis of progression in multiple sclerosis.

Steven J Jonesمشاهده پروفایل

استاد

• Bioinformatics
• Gene Expression
• Gene Regulation
• +۷ مورد دیگر

Dr. Steven J. Jones is a Professor in the Department of Medical Genetics at the University of British Columbia (UBC) and Associate Director/Head of Bioinformatics at the Genome Sciences Centre, BC Cancer Research Centre. He serves as Director of the CIHR/MSFHR Bioinformatics Training Program and the UBC Bioinformatics Graduate Program, with associate memberships at the Peter Wall Institute for Advanced Studies and Michael Smith Laboratories. Dr. Jones' research focuses on computational genomics and cancer bioinformatics , analyzing mutational landscapes and epigenetic targets in oncology. His work includes next-generation sequencing , structural variant detection , and long-read sequencing applications for resolving complex genomic architectures. He has extensive experience with transcriptome analysis , gene regulation , and comparative genomics across diverse organisms including C. elegans , conifers, and human pathogens. His 15 most recent publications highlight expertise in long-read sequencing for cancer genomics , imprinting disorders , and structural variation analysis. Key contributions include developing the Circos visualization tool for comparative genomics and pioneering bioinformatics approaches for epigenetic modifier discovery in oncology. Scientific Awards : Spencer Award for IT innovation (2005) 2007 Medical Genetics teaching award (UBC) 2011 Fellow of the Royal Society of Canada 2012 UBC Killam teaching prize 2014 Distinguished Achievement Award (UBC Faculty of Medicine) 2014 Fellow of the Canadian Academy of Health Sciences Clarivate Analytics Highly Cited Researcher (2016, 2018) Dr. Jones actively advises graduate students and serves as a data analysis center for the Canadian Epigenetics, Environment and Health Research Consortium (CEEHRC). He co-founded Ifowonco Bioinformatics Inc. and Alamya Health, PBC, and consults for Apotheca Systems Inc.

Jing Yangمشاهده پروفایل

استادیار

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

Jing Yang is an Assistant Professor of Biostatistics at Vanderbilt University Medical Center. With a PhD in Molecular Biology and Biochemistry from East China University of Science and Technology & Shanghai Institutes for Biological Sciences of Chinese Academy of Sciences, Yang specializes in computational genomics, immunogenomics, and pharmacogenetics. Education: PhD in Molecular Biology and Biochemistry Research interests include: Genomic determinants of immunotherapy response Pharmacogenetic mechanisms in infectious diseases Dysfunctional regulatory networks in cancer and autoimmune diseases Development of bioinformatics tools for disease similarity and gene coexpression analysis Recent publications span topics such as tumor-immune feedback loops, pharmacogenomics of tuberculosis treatment, and computational modeling of disease networks. Yang's work integrates biostatistical methods with multi-omics data to address complex biological questions. Email: jing.yang@vumc.org

Jory Lietardمشاهده پروفایل

استادیار

• Nucleic Acid Chemistry
• RNA Microarray Synthesis
• DNA Photolithography
• +۳ مورد دیگر

Jory Lietard is an Assistant Professor in the Department of Inorganic Chemistry at the Faculty of Chemistry. His research focuses on nucleic acid chemistry, RNA/DNA microarray synthesis, and light-directed chemical synthesis. He leads three major research projects: FANArrays (2022–2025), RNA arrays: die nächste Generation, and Large libraries of base-modified RNA for Nanopore sequencing (2021–2024). His work contributes to UN Sustainable Development Goals related to sustainable innovation in biosensors and biotechnology. Education: PhD (Privatdozent title) Key Projects: FANArrays: High-throughput platform for nucleic acid synthesis (2022–2025) RNA arrays: Next-generation RNA microarray development Base-modified RNA libraries for nanopore sequencing (2021–2024) Research interests include nucleic acid photolithography, biosensor design, and enzymatic synthesis of oligonucleotides. Recent advancements include color-corrected optical systems for high-resolution nucleic acid printing and accelerated RNA microarray synthesis. Collaborations span material science, optics, and synthetic biology. Media contributions include expert commentary on RNA chip innovations and DNA-based art (e.g., 16 million color palette creation). He actively engages in scientific presentations, including posters at international conferences on photolithography and enzymatic synthesis.

• Machine Learning
• Computer Vision
• Data Compression
• +۳ مورد دیگر

Don Adjeroh is a Professor and Associate Chair in the Lane Department of Computer Science and Electrical Engineering at West Virginia University (WVU). He serves as Graduate Coordinator for CS programs and has led multiple NSF-sponsored projects including Bridges in Digital Health and Multi-Scale Integrative Approach to Digital Health . His research focuses span Machine Learning , Bioinformatics , Computational Biology , and Data Compression . NSF CAREER Award recipient Collaborated with institutions like University of Central Florida and University of Canterbury Led workshops on Plant Image Analysis and Long Non-Coding RNA research His academic contributions include co-authoring the book The Burrows Wheeler Transform: Data Compression, Suffix Arrays, and Pattern Matching (Springer, 2008) and developing software tools like BSMP and PSA for data compression and protein family modeling. He teaches graduate-level courses in String Algorithms and Information Theory , with former projects involving undergraduate and graduate students in DNA microarray image processing and 3D video compression research. Key Scientific Awards : NSF CAREER Award NASA-WV Space Consortium funding WV-EPSCOR grants NSF-CITeR support DOD-ONR/DHS/DOJ/NIJ/NHPRC sponsorships

Lara Gambleمشاهده پروفایل

عضو هیئت علمی

• Surface Analysis
• Surface Modification
• Biomaterials
• +۱ مورد دیگر

Lara Gamble is a Research Associate Professor at the University of Washington's Department of Bioengineering within the College of Engineering. She is affiliated with the Molecular Analysis Facility and actively contributes to advancements in biomedical analytical techniques. Education : PhD in Physical Chemistry from the University of Washington; BA from the University of California, Santa Cruz. Postdoctoral Experience : Research Scientist at Zyomyx, Inc., and Senior Scientist at Space Dynamics Laboratory. Her research focuses on surface analysis, biomaterials, and mass spectral imaging , particularly using secondary ion mass spectrometry (SIMS) and ToF-SIMS for sub-cellular imaging of biological samples. Her work addresses tumor microenvironments, lipid metabolomics, and tissue repair. Recent publications highlight interdisciplinary applications of ToF-SIMS, microarray analysis, and surface chemistry. Collaborations span biomedical and clinical research communities. Scientific Awards : 2015 AVS Fellow 2014 Peter M.A. Sherwood Mid-Career Award (AVS) Leadership roles in AVS and IUVSTA She teaches the BIOEN 511: Biomaterials Seminar and has led the UW Molecular Analysis Facility since 2020. Her lab emphasizes technique development and data processing for biomedical diagnostics.