جستجوی استاد راهنمای دانشگاهی

Aditi Dasمشاهده پروفایل

استاد

• Biochemistry and Chemical biology of Lipids
• Mechanism of Membrane proteins in Nanodiscs
• Enzymology of metalloproteins
• +۵ مورد دیگر

Aditi Das is a Full Professor in the School of Chemistry and Biochemistry at the Georgia Institute of Technology, College of Sciences. She leads the Das Laboratory, which focuses on the biochemistry and chemical biology of lipids, particularly studying cytochrome P450 enzymes and their role in lipid metabolism, endocannabinoid systems, and inflammatory pathways. Her educational background includes: B.Sc. in Chemistry from St. Stephen's College M.Sc. in Chemistry from Indian Institute of Technology, Kanpur (I.I.T) Ph.D. in Chemistry from Princeton University Postdoctoral research at Northwestern University (NSF-NSEC fellow) and Beckman Institute for Advanced Science and Technology, University of Illinois UC Professor Das's research interests center around understanding the physiological role of lipids in sustaining homeostasis and their implications in disease states such as neurodegenerative disorders, cancer, and cardiovascular diseases. Her laboratory specializes in: Enzymology of cytochrome P450s, particularly CYP2J2 epoxygenase Metabolism of ω-3 and ω-6 fatty acids and their derivatives Minor cannabinoid metabolism by cytochrome P450 enzymes Discovery of novel anti-inflammatory lipid metabolites and endocannabinoids Mechanistic studies of membrane proteins using nanodisc technology Her work bridges biochemistry, chemical biology, and pharmacology to uncover novel therapeutic targets related to lipid signaling pathways. Analysis of Professor Das's recent publications (2023-2025) reveals a strong focus on cannabinoid metabolism by cytochrome P450 enzymes, with particular emphasis on how these metabolic processes generate bioactive compounds that interact with the endocannabinoid system. Her research increasingly explores the therapeutic potential of omega-3 derived endocannabinoid epoxides in inflammatory and neurodegenerative conditions. The use of nanodisc technology for studying membrane proteins in near-native environments remains a consistent methodological thread throughout her work, enabling detailed mechanistic insights into enzyme function. Professor Das has received numerous prestigious awards recognizing her research excellence and teaching: 2024 NIH Outstanding Researcher Award (MIRA R35) for established investigators 2024 Vasser Woolley Faculty Fellowship 2023 Plenary Lecture at the International Society of the Study of Xenobiotics (ISSX) 2021 E.L.R. Stokstad Award 2019-2021 List of Teachers Ranked as Excellent 2019 Eicosanoid Research Foundation Young Investigator Award 2019 Zoetis Research Excellence Award 2019 Mary Swartz Rose Young Investigator Award 2015 National Scientist Development Award from the American Heart Association 2022 El Sohly Award from the American Chemical Society Professor Das actively mentors a diverse group of students and postdoctoral researchers, with several former lab members now holding faculty positions or working at prestigious institutions. Her laboratory has secured significant funding from NIH, NSF, and other sources to support research on lipid metabolism, cannabinoid pharmacology, and membrane protein biochemistry. Notable grants include an NIH R35 Outstanding Investigator Award (MIRA), an NIH R21 grant from NIDA, and multiple collaborative grants with other research groups. The Das Laboratory operates within the Petit Institute of Bioengineering and Biosciences (IBB) at Georgia Tech, utilizing state-of-the-art facilities for biochemical and biophysical studies. The lab specializes in nanodisc technology to study membrane proteins in near-native environments, with particular expertise in cytochrome P450 enzymes and their interactions with lipid substrates. Recent work has expanded into collaborative projects involving lipidomics, structural biology, and translational applications of lipid signaling research.

Anil Kumarمشاهده پروفایل

استادیار

• Molecular Virology
• Virus-host Interactions
• Innate Immune Response
• +۳ مورد دیگر

Dr. Anil Kumar is an Assistant Professor in the Department of Biochemistry, Microbiology & Immunology at the University of Saskatchewan's College of Medicine. He specializes in molecular virology, focusing on positive-stranded RNA viruses and their interactions with host immune systems. His research employs high-throughput genetic screens and reverse genetics systems to identify host factors critical for viral infection. Education includes a BSc in Agricultural Sciences (1999, Kerala Agricultural University), MSc in Plant Pathology (2001, Indian Agricultural Research Institute), and PhD in Molecular Virology (2010, University of Heidelberg). Postdoctoral training included stints at the University of Heidelberg (2010–2013) and the University of Alberta (2014–2020). Research interests center on Eastern Equine Encephalitis virus (EEEV) and Enterovirus D68 (EV-D68). For EEEV, his lab investigates immune evasion mechanisms and host-virus protein interactions to identify therapeutic targets. For EV-D68, they study CNS invasion mechanisms and novel host dependency factors linked to acute flaccid myelitis (AFM). Recent work includes studies on SARS-CoV-2, uncovering roles for host proteins like Argonaute 2 in viral restriction. His lab integrates molecular biology, virology, and systems biology approaches, with a focus on translational research for antiviral drug development. Collaborations include work on respiratory syncytial virus (RSV) entry mechanisms and dengue virus replication regulation.

Brian Hieمشاهده پروفایل

استادیار

• Machine Learning
• Computational Biology
• Protein Engineering
• +۶ مورد دیگر

Brian Hie is an Assistant Professor of Chemical Engineering at Stanford University , a Dieter Schwarz Foundation Stanford Data Science Faculty Fellow , and an Innovation Investigator at Arc Institute . He leads the Laboratory of Evolutionary Design , focusing on the intersection of biology and machine learning . His prior roles include a Stanford Science Fellow in the Stanford University School of Medicine and a Visiting Researcher at Meta AI . Education: Ph.D. , Electrical Engineering and Computer Science , Massachusetts Institute of Technology (2021) Bachelor’s Degree , Stanford University Research Interests: Brian’s work bridges machine learning and computational biology , with a focus on protein engineering , single-cell RNA sequencing , and viral evolution . His Evolutionary velocity framework predicts protein evolutionary dynamics across timescales, while his Scanorama algorithm enables efficient integration of heterogeneous single-cell datasets. He also develops structure-informed language models for antibody optimization and uncertainty-aware ML for biological discovery. Publication Trends: His recent work (2023) emphasizes structure-based inverse folding for antibody evolution, evolutionary scale modeling , and unsupervised optimization . Earlier studies (2022-2021) cover evolutionary velocity , multi-modal single-cell analysis , and viral escape prediction using natural language analogies. Scientific Awards: Stanford Science Fellow (2021) National Defense Science and Engineering Graduate Fellowship (2019) Advising: He mentors doctoral students including Brandon Ameglio , Garyk Brixi , and Chang M. Yun , with a focus on biological design and computational methods . Labs & Collaborations: His lab collaborates with Bio-X and the Institute for Human-Centered Artificial Intelligence (HAI) , and he maintains affiliations with Sarafan ChEM-H and Stanford Data Science .

• 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.

• Statistical Methods in Biomedical Research
• Biomarker Analysis
• Clinical Trial Design
• +۷ مورد دیگر

Todd A. Alonzo is a Professor of Research in the Department of Preventive Medicine at the University of Southern California . As Group Statistician for the Children's Oncology Group , he focuses on statistical methods for biomarker analysis, medical diagnostic testing, and clinical trial design in pediatric acute myeloid leukemia (AML). Education: B.S. in Statistics, California State Polytechnic University (1994) MS and PhD in Biostatistics, University of Washington (1997, 2000) Research Interests include: Development of statistical frameworks for diagnostic accuracy Genomic and proteomic profiling in AML Pharmacogenomic score systems for chemotherapy response Non-inferiority trial design in low-event-rate settings Health disparities in pediatric oncology Scientific Awards : Fellow, American Statistical Association (2018) Outstanding Teacher Award, International Society for Magnetic Resonance in Medicine (2017) NIH Predoctoral Cardiovascular Biostatistics Training Grant (1995) ENAR Biometrics Society Distinguished Student Paper Award (1999) WNAR Biometrics Society Best Student Oral Presentation (1999) Leadership & Service includes editorial board memberships (Biometrics, Pediatric Blood & Cancer, Biometrical Journal), reviewer for 30+ scientific journals, and roles on multiple Data Safety and Monitoring Boards. He served as President of the International Biometric Society Western Northern America Region (WNAR) in 2009.

• Environmental Chemistry
• Toxicology
• Analytical Chemistry
• +۷ مورد دیگر

Dr. Leon Barron is a Reader in Analytical & Environmental Sciences at the School of Public Health, Imperial College London. His expertise spans chemical contaminant analysis, wastewater epidemiology, and environmental forensics. He leads the Emerging Chemical Contaminants team within the Environmental Research Group, focusing on pharmaceuticals, PFAS, and illicit drugs. Education: BSc(Hons) in Analytical Science (2001), PhD in Analytical Chemistry (2005), and a Postgraduate Certificate in Academic Practice (2011). Previously held roles at King's College London as Lecturer (2009–2015) and Senior Lecturer (2015–2020). Research interests include trace environmental analysis (LC, GC, MS), chemical risk assessment, and wastewater-based epidemiology. Key projects include global drug use monitoring via sewage analysis and PFAS removal from drinking water. His work has produced over 100 peer-reviewed articles, with recent focus on PFAS accumulation, biochar filtration, and urban pollution source apportionment. Awards include Fellowships from Royal Society of Chemistry and Chartered Society of Forensic Sciences. Supervises PhD students on topics like pesticide exposure, opioid monitoring, and machine learning in ecotoxicology. Collaborates internationally via initiatives like the Sewage Analysis CORE Group and NIHR HPRU in Environmental Exposures.

Steven A. Corcelliمشاهده پروفایل

استاد

• Theoretical Chemistry
• Computational Molecular Science
• Biomolecular Binding
• +۵ مورد دیگر

Steven A. Corcelli is a Professor and Interim Dean of the College of Science at the University of Notre Dame, with a research focus on Theoretical Chemistry and Molecular Dynamics Simulations . His work bridges Physical Chemistry and Biochemistry , targeting Energy Applications and Biomolecular Binding Mechanisms . He leads the Computational Molecular Science & Engineering Laboratory (CoMSEL). Ph.D., Chemistry, Yale University (2001) Sc.B., Chemistry, Brown University (1997) Research interests span ionic liquids for Carbon Capture , aqueous electrolytes in battery technologies , and molecular binding processes in immunology and DNA interactions . His group employs GPU-accelerated simulations and weighted ensemble methods to uncover structural and dynamic motifs. Recent publications highlight trends in vibrational spectroscopy , TCR-MHC binding , and CO2 solvation mechanisms . Awards include the Thomas P. Madden Award (2020) , ACS Fellowship (2016) , and NSF CAREER Award (2009) . Staff: Erin Brossard (Ph.D.), Nell Karpinski, Shuang Wu, Noah Vasconez, Kaitlyn Handy, Isabel Thompson

• Nanomedicine
• Drug Delivery Systems
• Cellular Uptake of Nanoparticles
• +۳ مورد دیگر

Anna Salvati is an Associate Professor specializing in nanomedicine and drug delivery systems. Her research focuses on nanoparticle-cell interactions, biomolecular corona formation, and the physicochemical properties governing nanomaterial behavior in biological environments. Key research themes include cellular uptake mechanisms, toxicity of nanomaterials, and nanoparticle targeting strategies. Recent publications highlight her work on nanoparticle stability, membrane interactions, and environmental impacts of microplastics. Her studies integrate multiomics approaches, advanced imaging, and interlaboratory validation to address challenges in nanomedicine design and safety testing. Current projects explore the role of high-density lipoproteins in nanoparticle functionality and the modulation of drug release kinetics through material engineering.

• Bioengineering
• Biomechanics
• Stem Cell Biology
• +۳ مورد دیگر

Ben Cosgrove is an Associate Professor in the Meinig School of Biomedical Engineering at Cornell University, serving as Director of Graduate Studies. His research focuses on systems bioengineering approaches to understand muscle stem cell dysfunction in aging and disease. He leads the Cosgrove Lab, a multidisciplinary group integrating biomedical engineering, stem cell biology, and systems biology to study microenvironmental signaling in muscle regeneration. His work includes developing biomimetic microenvironments for stem cell manufacturing and improving regenerative medicine therapies. Dr. Cosgrove holds a B.Eng. from the University of Minnesota (2003) and a Ph.D. in Bioengineering from MIT (2009). Postdoctoral training at Stanford University (with Dr. Helen Blau) followed. His research is supported by NIH grants (including R01, R21), the Glenn Medical Research Foundation, and others. He has been recognized with awards such as the BMES Graduate Research Award (2008), Rising Star Award (2015), and Swanson Teaching Excellence Award (2019). Research interests span bioengineering, biomechanics, computational science, and systems biology. His lab's innovations include spatial transcriptomic mapping and high-yield stem cell expansion platforms. Current projects aim to decode stem cell-niche interactions to treat muscle degeneration and aging. Grants: NIH K99/R00, R01, R21; Glenn Medical Research Foundation Labs/Teams: Cosgrove Lab (Cornell University) Future Work: Expanding applications of spatial transcriptomics and engineering regenerative therapies for muscle diseases

Hong Hanمشاهده پروفایل

استادیار

• Cancer Biology
• Gene Regulation
• RNA Splicing
• +۵ مورد دیگر

Hong Han is an Assistant Professor in the Department of Biochemistry & Biomedical Sciences within McMaster University's Faculty of Health Sciences and a member of the Centre for Discovery in Cancer Research (CDCR). She holds a Canada Research Chair and leads the Han Lab, which focuses on cancer biology, RNA regulation, and innovative high-throughput technologies for therapeutic discovery. Dr. Han earned her Ph.D. from the University of Toronto (2010-2016) and has established herself as a leading researcher in glioblastoma and alternative splicing regulation. Her interdisciplinary research integrates cancer biology, RNA science, and multilayer gene regulation to uncover mechanisms underlying cancer progression and treatment resistance. Her laboratory pioneers integrated technological platforms for large-scale genetic/drug screening and ultra-high-throughput single-cell profiling. The research focuses on three main areas: alternative splicing regulation in cancer (particularly glioblastoma and prostate cancer), multilayer mechanisms of glioblastoma heterogeneity and microenvironment evolution, and multiplexed screening approaches for therapeutic discovery in treatment-resistant cancers. Analysis of Dr. Han's recent publications reveals a strong emphasis on single-cell technologies to characterize glioblastoma heterogeneity, minimal residual disease states, and tumor-immune interactions. Her work increasingly bridges basic RNA biology with translational applications, particularly in developing novel therapeutic strategies targeting splicing networks and immune evasion mechanisms. Canada Research Chair Dr. Han teaches Advanced Techniques in the Biomedical Sciences (BIOCHEM 734). Her research program is supported by multiple funding sources, as evidenced by her extensive publication record in high-impact journals including Nature, Cell, Molecular Cell, and Nature Communications. She employs a comprehensive approach combining in vitro, in vivo, and patient cohort studies with cutting-edge genomic technologies. The Han Lab has developed innovative multiplexed screening platforms that enable simultaneous interrogation of thousands of conditions, ranging from CAR-T cells to small molecule therapeutics. This approach accelerates the discovery of novel cancer targets and therapeutic strategies for treatment-resistant cancers.

• Cell Biology
• Ophthalmology
• Fibrosis
• +۵ مورد دیگر

Professor Maryse Bailly is a Professor of Cell Biology at the UCL Institute of Ophthalmology, University College London, where she has been employed since December 2000, progressing from Lecturer to Reader/Associate Professor and finally to Professor in October 2020. Her research focuses on understanding fibroblast behavior in the context of ocular diseases, scarring, and fibrosis, with particular emphasis on cytoskeletal dynamics and mechanotransduction pathways. Education: Doctor of Philosophy, Universite Claude Bernard (Lyon 1), 1992 Diplome Universitaire de Technologie, Universite Claude Bernard (Lyon 1), 1983 Professor Bailly's research program investigates how fibroblasts sense and respond to mechanical and chemical stimuli in their environment, with applications to multiple ocular pathologies including trachoma, thyroid eye disease, glaucoma scarring, and myopia. Her laboratory has developed innovative in vitro and ex vivo models that allow the study of tissue contraction mechanisms within pseudo-physiological 3D environments, leading to the identification of novel therapeutic targets such as the Rac1 small GTPase and the MRTF/SRF pathway. She has established significant collaborations with clinicians at Moorfields Eye Hospital, particularly with Dr. Annegret Dahlmann-Noor on pediatric eye growth and myopia research. Analysis of Professor Bailly's publication record reveals a consistent focus on fibroblast mechanobiology with increasing emphasis on pediatric ocular development in recent years. Her work bridges fundamental cell biology with translational applications, particularly in understanding the biomechanical properties of fibroblasts in myopia development and post-surgical scarring. The research demonstrates strong interdisciplinary connections between ophthalmology, cell biology, and tissue engineering. Teaching: CELL0016 - Actin cytoskeleton and Intermediate Filaments CELL0017 - Fibrosis and mechanotransduction CELL0009 - Models organisms and techniques MECH0031 MSc Biomaterials & Tissue Engineering - Modeling tissue contraction and fibrosis

Maria Timofeevaمشاهده پروفایل

دانشیار

• Cancer Epidemiology
• Genetic Risk Factors
• Colorectal Cancer
• +۷ مورد دیگر

Maria Timofeeva is an Associate Professor in the Epidemiology, Biostatistics and Biodemography (EBB) department at the University of Southern Denmark (SDU), with additional affiliation at the Danish Institute for Advanced Study (DIAS). She holds an Honorary Fellow position at the University of Edinburgh since December 2019. Her research focuses on cancer prevention and prediction, particularly studying the effects of environmental and genetic factors on cancer risk and progression. Dr. Timofeeva earned her Dr.sc.hum in Epidemiology from Heidelberg University (2005-2009), with a dissertation on genetic polymorphisms as risk factors for early onset lung cancer. Prior to her current position, she worked as a Statistical Geneticist at the University of Edinburgh (2013-2019) and as a Postdoctoral Fellow at the International Agency for Research on Cancer (2009-2013). Her research interests center around understanding the genetics of cancer risk through multi-omic analysis. She leads several significant projects, including the Interdisciplinary Project on Adherence to Colorectal Cancer Screening, meta-analysis of factors associated with false-positive and false-negative FOBT results (registered in PROSPERO ID: CRD42022315767), and the COlorectal Cancer screening Among RElatives (CoCARE) twin-family study in Denmark. Her methodological expertise spans observational epidemiological studies (case-control, population-based cohort studies, twin studies), meta-analysis, umbrella reviews, and multi-omics data analysis. Analysis of her recent publications reveals a strong focus on colorectal cancer genetics, with particular emphasis on genome-wide association studies, Mendelian randomization approaches, and trans-ancestry analyses. Her work frequently leverages large datasets including the UK Biobank and international consortia, with applications in cancer risk prediction and understanding gene-environment interactions. Dr. Timofeeva has an extensive publication record with 73 publications listed in her profile. Her research has been cited across multiple platforms, with mentions in news outlets, social media, and academic readership platforms like Mendeley. She is actively involved in academic service, serving as a peer reviewer for journals including BMC Cancer and Scientific Reports, and participating in conferences such as the 26th Nordic Congress of Gerontology. She also serves on evaluation committees, including with the World Cancer Research Fund International (April-May 2024). Her teaching activities include courses on evidence-based drug utilization and biostatistics, as well as supervision of research projects on gene expression in twins. Dr. Timofeeva has engaged with the public through media contributions, including an interview titled 'Jeg vil forstå, hvorfor vi får kræft' (November 15, 2021), where she discussed understanding why we get cancer.

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

Jian Peng is an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. His research focuses on computational biology, machine learning, and their applications to protein structure prediction, drug design, and molecular modeling. He has contributed to advancements in antibody engineering, protein-ligand docking, and generative models for biological systems. Key research areas include: Machine Learning for Molecular Modeling Protein Structure Prediction Antibody and Peptide Design Genomics and Single-Cell Analysis Structure-Based Drug Discovery His work emphasizes integrating deep learning techniques with biological datasets to address challenges in precision medicine, drug development, and systems biology. Notable achievements include developing the FastFold system to accelerate AlphaFold training and pioneering flow-based methods for antibody design. Awards include the Overton Prize (2020), recognizing contributions to computational biology. His research has been published in top journals and conferences, spanning topics from protein mutation prediction to geodesic-based immune complex modeling.

• Precision Medicine
• Cancer Biology
• Drug Discovery
• +۵ مورد دیگر

Brinton Seashore-Ludlow is an Associate Professor at the Department of Oncology-Pathology, Karolinska Institute (KI), where he serves as team leader in Olli Kallioniemi's research group and group leader of the biology team at Chemical Biology Consortium Sweden (CBCS), SciLifeLab's national infrastructure. PhD in Biochemistry, KTH Royal Institute of Technology (2012) MSc in Chemical Biology, California Institute of Technology (2007) BA in Biochemistry, Macalester College (2001) His research bridges precision medicine and cancer biology through: Developing ex vivo patient-derived models for drug response prediction Molecular determinants of therapeutic efficacy Integration of high-content imaging with translational studies Focus on ovarian, breast, and pediatric cancers AI-driven analysis of drug sensitivity data Recent articles demonstrate: 3D tumor spheroid platforms for drug testing Epigenetic regulators in neuroblastoma Microfluidics for high-throughput assays Cancer-stroma interactions in treatment resistance Clinical validation of precision diagnostics He co-organizes the Overview Course in Cancer Drug Discovery at KI and leads projects funded by the Swedish Childhood Cancer Foundation.

Mirko Trajkovskiمشاهده پروفایل

استاد

• Metabolic Diseases
• Obesity
• Insulin Resistance
• +۵ مورد دیگر

Professor Mirko Trajkovski leads the Laboratory of Metabolic Diseases at the Faculty of Medicine, University of Geneva. He completed his PhD at the International Max Planck School in Dresden (2005), followed by postdoctoral research at ETH Zurich, before establishing his lab at University College London (2012) and moving to Geneva (2013). His work focuses on adipose tissue plasticity , gut microbiota , and their roles in obesity , diabetes , and insulin resistance . Swiss National Science Foundation Professor (2014) ERC Starting Grant (2014) & Consolidator Grant (2019) Dr Walter Seipp Prize & Carl Gustav Carus Prize (2005) His lab investigates fat browning mechanisms , microbiota-host communication , and multi-tissue metabolic regulation using in vivo , in vitro , and human cohort approaches. Recent publications emphasize microbiome-based therapies , temperature effects on metabolism , and gut-bone-adipose crosstalk . Current advisees include PhD student Silas Kieser, with past members like Jing Xue, Salvatore Fabbiano, and Claire Chevalier contributing to immuno-metabolism and microbial engineering projects.