جست‌وجوی استاد و پژوهشگر

David Ericksonمشاهده پروفایل

استاد

• Global Health Technology
• Medical Diagnostics
• Microfluidics
• +۵ مورد دیگر

David Erickson is the SC Thomas Sze Director and Sibley College Professor at Cornell University's Sibley School of Mechanical and Aerospace Engineering. He also holds a joint professorship in the Division of Nutritional Sciences. His research focuses on global health technologies, medical diagnostics, microfluidics, photonics, nanotechnology, and energy systems. He previously served as Associate Dean of Engineering for Research and Graduate Programs. Erickson leads the NIH-funded PORTENT Center for Point-of-Care Technologies in Global Health and has co-founded companies like Dimensional Energy and VitaScan to commercialize diagnostic and energy technologies. Education: B.Sc., Mechanical Engineering, University of Alberta (1999) M.A.Sc., Mechanical Engineering, University of Toronto (2001) Ph.D., Mechanical Engineering, University of Toronto (2004) Postdoctoral Scholar, Electrical Engineering, California Institute of Technology (2005) Research Interests: Erickson’s work spans global health diagnostics , nanobio applications , and clean energy innovation . He develops portable medical devices for low-resource settings, including smartphone-integrated diagnostic tools for malaria, iron deficiency, and cancer. His lab also pioneers photothermal reactors for CO2 conversion into sustainable fuels. Key areas include: Point-of-care testing for infectious diseases and nutritional deficiencies Nanofluidic and optofluidic technologies for biomolecular analysis Solar-driven energy systems for carbon-neutral fuels Awards: Presidential Early Career Award for Scientists and Engineers (2011) Fellowships from the Optical Society, ASME, and Canadian Academy of Engineering Carbon X-Prize Finalist (2019) for Dimensional Energy’s CO2-to-fuel technology Grants & Industry Collaboration: Erickson’s research is funded by NIH, NSF, ARPA-E, DOE, and USAID. His lab’s innovations have spun off start-ups addressing global health and energy challenges. Notable projects include: - Portable cancer diagnostics in sub-Saharan Africa using mobile phone-based systems - Solar-powered CO2 conversion reactors tested in Wyoming and Arizona Labs & Teams: The Erickson Lab collaborates with the Cornell Atkinson Center for Sustainability and the McGovern Center for Entrepreneurship. Key initiatives include the PORTENT Center and the Dimensional Energy CO2-to-fuel project.

• 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.

Xi Chenمشاهده پروفایل

استاد

• Carbohydrate Chemistry
• Glycobiology
• Enzymology
• +۷ مورد دیگر

Dr. Xi Chen is a Professor in the Department of Chemistry at the University of California, Davis, where he has been a faculty member since 2003. His research spans carbohydrate chemistry, glycobiology, and cancer biology, with notable contributions to chemoenzymatic methods for glycoconjugate synthesis. Dr. Chen's work focuses on developing hybrid chemical-enzymatic approaches to synthesize complex carbohydrates and glycoconjugates, characterizing glycosyltransferase mechanisms, and designing enzyme mutants for improved catalysis. He also investigates carbohydrate-based diagnostics and therapeutics, particularly in cancer and inflammatory diseases. His recent publications highlight interdisciplinary studies linking carbohydrate metabolism to p53 tumor suppression pathways and RNA-binding protein regulation in cancer. Awards include AAAS Fellow (2015), ACS Isbell Award (2012), and NSF CAREER Award (2006). He earned his Ph.D. at Wayne State University (2000) and B.S. at Xiamen University (1994). Scientific Awards American Association for the Advancement of Science Fellow (2015) Dean's Team Award for Excellence (2013) Carbohydrate Research Award for Creativity (2013) ACS CARB Horace S. Isbell Award (2012)

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.

Sophie Doveمشاهده پروفایل

دانشیار

• Marine Biology
• Coral Reef Ecology
• Climate Change Impact on Marine Ecosystems
• +۳ مورد دیگر

Sophie Dove is an Honorary Associate Professor at the School of Biological Sciences , University of Queensland, and an Affiliate Associate Professor at the Global Change Institute . Her research focuses on coral reef photobiology, climate change impacts, and symbiotic relationships in marine ecosystems. PhD in Biological Sciences, University of Sydney MA in Philosophy, University of Southern California MA (Hons) in Mathematics and Philosophy, University of Edinburgh Her work examines coral-dinoflagellate symbiosis , particularly how host and symbiont interactions maintain reef productivity under climate stress. Key questions include the role of symbiont parasitism, coral heterotrophy, and reef accretion-erosion balance under ocean acidification and warming. She collaborates with institutions like the Great Barrier Reef Marine Park Authority and CSIRO Publishing. Recent publications span coral bleaching mechanisms , ocean acidification effects , and biochemical adaptations in symbiotic organisms. Her studies integrate molecular biology, biogeochemistry, and ecophysiology to predict reef futures under climate stress. She has contributed to scientific consensus reports on the Great Barrier Reef and developed methodologies for analyzing coral and sponge physiology. Her interdisciplinary approach bridges marine ecology, protein biochemistry, and climate science.

• Biomedical Engineering
• Nanotechnology
• Cancer Research
• +۳ مورد دیگر

Yen-Cheng Liu is a former researcher at École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Life Sciences (BIOS) and multiple departments including LCOM and CMI. His work focuses on interdisciplinary research at the intersection of biomedical engineering, nanotechnology, and cancer biology. Key research areas include nanoplasmonic biosensors, single-cell analysis, optofluidic systems, and cancer immunology. He holds collaborations with institutions like the University of Lausanne and the Centre Hospitalier Universitaire Vaudois (CHUV). His research emphasizes real-time monitoring of cellular secretions, tumor microenvironment dynamics, and diagnostic platform development for pathogens and genetic diseases. Notable contributions include high-throughput microarray technologies for single-cell secretion profiling and optofluidic platforms for molecular diagnostics. Liu’s publications span journals like Advanced Science , Advanced Functional Materials , and Biosensors and Bioelectronics . His work integrates engineering principles with biological systems to address challenges in precision medicine and cancer therapy.

Elizabeth A. Edwardsمشاهده پروفایل

استاد

• Bioremediation
• Environmental Biotechnology
• Anaerobic Microbial Processes
• +۳ مورد دیگر

Elizabeth A. Edwards is a University Professor at the University of Toronto in the Department of Chemical Engineering and Applied Chemistry , with cross-appointments to the Department of Cell & Systems Biology . As Director of BioZone and Canada Research Chair in Anaerobic Biotechnology, she leads groundbreaking research in microbial bioremediation of groundwater pollutants and industrial wastewater treatment through anaerobic digestion. Ph.D. in Environmental Engineering (Stanford, 1993) M.Eng. and B.Eng. in Chemical Engineering (McGill, 1985/1983) Licensed Professional Engineer (P.Eng.) Her research focuses on anaerobic microbial communities that degrade pollutants like chlorinated solvents and aromatic hydrocarbons. Using advanced molecular biology, genomics, proteomics , and biochemical pathway analysis , her lab investigates functional interactions in microbial consortia and translates discoveries to commercial applications such as the KB-1® bioproduct . Recent studies examine enzyme activity, lignocellulose degradation, and granulation dynamics in anaerobic reactors. Scientific Recognition: 2020 Killam Prize in Engineering 2016 Canada Research Chair (Tier 1) 2014 Royal Society of Canada Fellow 2011 Canadian Academy of Engineering Fellow 2011 AAAS Fellow 2008-2010 Killam Research Fellowship She supervises extensive graduate student projects spanning enzyme discovery, bioremediation optimization, and microbial consortium analysis. Her lab collaborates with GeoSyntec Consultants and SiREM Labs for field implementation of bioremediation strategies.

Annette Byrneمشاهده پروفایل

استاد

• Precision Medicine
• Molecular Imaging
• Angiogenesis
• +۷ مورد دیگر

Professor Annette Byrne is a leading academic at RCSI University of Medicine and Health Sciences , where she serves as Professor of Physiology and Head of the Precision Cancer Medicine (PCM) Group. She has held this position since 2019 after progressing through roles as Lecturer (2008), Senior Lecturer (2013), and Associate Professor (2017). Her research focuses on precision medicine approaches for colorectal and brain cancers , integrating multi-modality molecular imaging , Next Generation Sequencing , and patient-derived xenograft models . PhD in Cell Biology (University of York, 1999) John Kerner Fellowship in Gynaecologic Oncology (UCSF, 1999-2001) Scientist at Pharmacyclics Inc. (2001-2003) Senior Scientist at Angion Biomedica Corp. (2003-2005) Principal Investigator at UCD Conway Institute (2005-2008) Her research interest lies in precision cancer medicine , particularly elucidating predictive biomarkers (genomic, transcriptomic, proteomic) and identifying novel therapeutic targets . Key methodologies include radiomics , fluorescence-guided surgery , and systems modeling of apoptosis pathways. She has pioneered Ireland's first Tumour Xenograft Facility and Translational In Vivo Imaging Centre . Recent publications highlight her work on cross-species radiomics , cell-free DNA analysis , and glioblastoma microenvironment subtyping . Her Marie Curie networks (Gliotrain, Glioresolve) and COLOSSUS project have trained 25+ PhD researchers in brain cancer therapeutics. Over €45M in national/international grants Member of Royal Irish Academy (2025) Highly cited in Cancer Discovery , Annals of Oncology , and Nature journals She supervises multiple PhD candidates and leads the RCSI Precision Cancer Medicine Group , which utilizes computational approaches and molecular imaging to improve cancer treatment outcomes. Her GLIORESOLVE and EDIReX projects focus on tumor microenvironment manipulation and distributed PDX infrastructure.

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.

• Biochip Technologies
• Analytical Chemistry
• Genomics
• +۵ مورد دیگر

Dr. Thomas Brandstetter is a researcher and group leader at the University of Freiburg's Department of Microsystems Engineering (IMTEK), leading the Bioanalytical Surfaces group since 2007. He holds a Ph.D. in Biology from the University of Freiburg (2000) and has extensive postdoctoral experience in biochip technologies and clinical applications. His research focuses on developing innovative bioanalytical platforms for DNA/RNA detection, protein analysis, and biomedical applications such as tumor cell capture and biofilm prevention. He has pioneered surface-attached polymer networks and hydrogel coatings to enhance biochip sensitivity and reusability. Key research areas include biochip technology, microfluidics, surface chemistry, and materials science. His work integrates interdisciplinary approaches to address challenges in diagnostics, such as point-of-care testing and in vivo diagnostics. Notable projects include hydrogel-based sensor surfaces, PCR-compatible metallic coatings, and functionalized medical wires for capturing rare cells in blood. He oversees a team of PhD students and postdocs, contributing to advancements in analytical chemistry and biomedical engineering. Dr. Brandstetter has published extensively on topics like DNA microarray platforms, NASBA amplification, and antibacterial coatings. His lab collaborates with industry partners like Genescan Europe AG and contributes to translational research through patents on biochip fabrication and medical devices. He is actively involved in teaching and mentoring, fostering the next generation of researchers in bioanalytical technologies.

• Sparse signal processing
• Signal processing for machine learning
• Wireless communications
• +۴ مورد دیگر

Dr. Wei Dai is a Senior Lecturer (Associate Professor) in the Department of Electrical and Electronic Engineering at Imperial College London, part of the Faculty of Engineering. He holds affiliations with the EPSRC Centre for Maths of Precision Healthcare and the Communications and Signal Processing group. His research focuses on sparse signal processing, machine learning applications in signal processing, linear and bilinear inverse problems, wireless communications, and random matrix theory. Notably, he contributed to the first compressive sensing DNA microarray prototype and has a highly cited 2009 paper on compressive sensing reconstruction. Dr. Dai's educational background includes a Ph.D. in Electrical and Computer Engineering from the University of Colorado at Boulder (2007) and postdoctoral research at the University of Illinois at Urbana-Champaign (2007-2010). His work bridges theoretical signal processing with practical applications in sensing, communication systems, and biomedical signal analysis. He leads research initiatives in gridless DOA estimation, robust beamforming, and cortico-muscular coupling analysis using advanced optimization techniques. His research outputs span topics like spectral compressed sensing, Bayesian methods for integrated sensing-communication systems, and dictionary learning for causal discovery. Ongoing work emphasizes low-rank matrix recovery, distributed compressed sensing, and mathematical frameworks for super-resolution localization. Dr. Dai collaborates across disciplines, leveraging signal processing innovations for healthcare technology and next-generation wireless systems.

Sharon R. Longمشاهده پروفایل

استاد

• Plant-Microbe Symbiosis
• Molecular Genetics
• Biochemistry
• +۴ مورد دیگر

Sharon R. Long is the William C. Steere, Jr. - Pfizer Inc. Professor of Biological Sciences and Professor of Biochemistry (by courtesy) at Stanford University . She joined the Stanford faculty in 1982 after completing her B.S. at Caltech (1973) and Ph.D. at Yale (1979) in Cell and Developmental Biology. Key affiliations: Bio-X Member, Sarafan ChEM-H Faculty Fellow Administrative roles: Dean of Stanford School of Humanities and Sciences (2001-2007) Her research focuses on the biochemistry, genetics, and cell biology of plant-bacterial symbiosis , particularly the molecular mechanisms of Sinorhizobium meliloti interactions with Medicago species. Current work includes: Genome-wide analysis of symbiosis gene regulation Exopolysaccharide production mechanisms Transcriptional responses to oxidative stress High-throughput screening for bacterial regulators Her 178 publications (including 162 journal articles and 16 conference proceedings) demonstrate expertise in: Bacterial-plant signaling pathways Gene expression regulation Exopolysaccharide function Symbiotic nitrogen fixation Signal transduction mechanisms Transcription factor analysis Honors include: MacArthur Foundation Fellowship (1992-1997) Member, National Academy of Sciences (1993-) Lifetime Research Award, International Society for Plant-Microbe Interactions (2017) Multiple fellowships (American Academy of Arts and Sciences, American Philosophical Society, etc.) She has served on: President's Committee for the National Medal of Science (2011-2016) Trustee, California Academy of Sciences (2009-2017) Director, Annual Reviews, Incorporated (1994-present) Her lab maintains active collaborations with National Institutes of Health and continues to train the next generation of scientists through various graduate and postdoctoral programs at Stanford.