جست‌وجوی استاد و پژوهشگر

Olivia C. Fiebigمشاهده پروفایل

استادیار

• Membrane Biophysics
• Lipid-Protein Interactions
• Photosynthesis
• +۳ مورد دیگر

Olivia C. Fiebig is an Assistant Professor of Chemistry at Smith College, where she conducts interdisciplinary research at the intersection of biophysics and membrane science. Her work combines biochemical, spectroscopic, and physical methodologies to investigate fundamental membrane behaviors with implications for biological systems. Her educational background includes: Ph.D. in Chemistry from the Massachusetts Institute of Technology B.S. and B.A. from Rowan University Dr. Fiebig's research centers on membrane biophysics , specifically examining how lipids and proteins interact within cell membranes to influence biological processes. She employs model membrane systems such as vesicles and nanodiscs to study lipid behavior, protein-lipid interactions, and the physical properties governing membrane assembly. A significant portion of her work focuses on photosynthetic light-harvesting complexes in purple bacteria, utilizing ultrafast spectroscopy to probe energy transfer dynamics under varying environmental conditions. Analysis of her recent publications reveals consistent emphasis on optimizing model membrane systems to replicate biological complexity, with particular attention to photosynthetic acclimation strategies and the effects of ionic environments on membrane and protein stability. Her work bridges fundamental biophysical principles with practical applications in understanding biological membrane function. Her notable recognition includes: Eberly Postdoctoral Research Fellow Dr. Fiebig leads an active research laboratory that trains students in advanced biophysical techniques while advancing understanding of membrane organization and function. Her group's work on near-native membrane systems represents a significant methodological contribution to the field.

Wenjie Luoمشاهده پروفایل

پژوهشگر

• Neuroscience
• Alzheimer's Disease
• Microglial Research
• +۵ مورد دیگر

Wenjie Luo is a researcher at the Brain and Mind Research Institute, Weill Cornell Medical College, focusing on neurodegenerative diseases and neuroimmunology. His role involves investigating molecular pathways linking tauopathy, microglial function, and genetic risk factors for Alzheimer's disease. Education: B.S. and M.S. from Peking University (China), Ph.D. from Albert Einstein College of Medicine (2001) His research explores the interplay between neuroinflammatory mechanisms, tau pathology, and genetic variants in Alzheimer's disease progression. Key areas include the cGAS-STING pathway, TREM2 agonism, and microglial interactions with oligodendrocytes. Recent publications highlight his work on tau propagation models, microglial signaling pathways (NF-κB, AKT), and sex-based differences in neurodegeneration. He collaborates on grants from the National Institute on Aging and BrightFocus Foundation, focusing on tau metabolism, TREM2 ligands, and APOE mutations in neurodegenerative diseases.

John Altinمشاهده پروفایل

دانشیار

• Adaptive immunity
• Genomics
• Biotechnology
• +۳ مورد دیگر

John Altin is an Associate Professor at TGen's Immunology and Microbial Genomics Division, conducting cross-disciplinary research at the intersection of adaptive immunity, genomics, and biotechnology. His work focuses on high-dimensional immune profiling using advanced platforms like PepSeq and MHC-PepSeq for studying immune responses across $10M+ research programs . Key contributions include understanding T cell regulation pathways and developing serological tools for infection tracking. Immunology and Microbial Genomics Division, TGen Co-developer of PepSeq platform Recipient of >$10M research funding His research spans infectious disease immunology (SARS-CoV-2, tuberculosis, malaria), autoimmune mechanisms (type 1 diabetes), and biotechnological innovations in antibody/TCR analysis. Publications demonstrate cross-reactive immunity patterns and high-dimensional immune profiling across human and animal populations. Laboratory members include Sophia Carvalho (PhD), Heather Mead (PhD), Jorge Soria-Bustos (PhD), and Erin Kelley (MS). Collaborations extend to Prognosys Biosciences, SpaceX research, and Arizona clinical institutions. Current work emphasizes longitudinal infection tracking and vaccine response dynamics in immunocompromised populations.

• Statistical genomics
• Big omics data analysis
• Multivariate analysis
• +۵ مورد دیگر

Dr. Lin Chen is a tenured Professor of Biostatistics in the Department of Public Health Sciences at The University of Chicago, where they have been faculty since 2010, progressing from Assistant Professor (2010-2017) to Associate Professor (2017-2024) and now Professor (2024-present). Previously, they completed postdoctoral research at Fred Hutchinson Cancer Research Center (2008-2010) under Drs. Ross L. Prentice and Li Hsu, and at Princeton University (2008) under Dr. John D. Storey. Dr. Chen earned their Ph.D. in Biostatistics from the University of Washington in 2008 under Dr. John D. Storey, following a B.S. in Economics from Peking University (2002). Their research focuses on developing advanced statistical methods for statistical genomics , big omics data analysis , multivariate analysis , missing data analysis , and mixed-effects models . Their work has significantly advanced methodologies in Mendelian randomization, multi-omics integration, and genetic association studies. Dr. Chen's recent publications reveal a strong emphasis on integrative approaches that connect multiple layers of genomic data across different biological contexts. Their research demonstrates particular expertise in developing statistical frameworks that bridge genetic variation with molecular phenotypes and complex traits, often addressing critical challenges in causal inference and mediation analysis within genomic studies. The work consistently appears in top-tier journals including Nature Communications, Nature Genetics, and The American Journal of Human Genetics. The Best Paper in Genetic Epidemiology Award for the Year 2021 The Departmental Best Dissertation Award 2017-2018 (awarded to Jiebiao Wang) Dr. Chen actively mentors graduate students and postdoctoral fellows, with several former lab members now in faculty positions or industry roles at major pharmaceutical companies. Their lab currently has ongoing postdoctoral openings. They have developed multiple widely-used software packages including GMAC, Primo, mvMISE, ofGEM, MixRF, mixEMM, PEMM, Trigger, RHT, SNPath, and EigenR2, available through CRAN, GitHub, and Bioconductor. Dr. Chen teaches courses including Applied Regression Analysis, Introduction to Biostatistics, Statistical Analysis with Missing Data, and Introductory Statistical Genetics at the University of Chicago.

Alison Dunningمشاهده پروفایل

استاد

• Cancer Genetic Epidemiology
• Breast Cancer Genetics
• Prostate Cancer Radiotherapy Toxicity
• +۳ مورد دیگر

Professor Alison Dunning serves as Professor of Cancer Genetic & Applied Epidemiology at the University of Cambridge's Centre For Cancer Genetic Epidemiology (CCGE), where she leads wet-lab operations and contributes to major international consortia including BCAC and CIMBA. Appointed to her professorship in 2022 after becoming Reader in 2016, she concurrently acts as University Disability and Wellbeing Champion and Co-Chair of the Disabled Staff Network. Her research focuses on cancer genetic epidemiology , particularly fine-scale mapping of breast cancer risk loci, genetic modifiers of BRCA-related cancer risks, and radiotherapy toxicity mechanisms. She directs high-throughput genotyping for consortia studying polygenic risk scores across diverse populations, mammographic density genetics, and radiation-induced normal tissue complications. Her work bridges wet-lab sample management with statistical genetics to translate findings into clinical risk prediction. Analysis of her 2023-2025 publications reveals dominant themes in cross-ancestry polygenic risk score development and genetic determinants of radiotherapy toxicity , with significant contributions to prostate cancer dose-response modeling and BRCA variant classification. These studies frequently employ large-scale GWAS and international cohort collaborations to address clinical implementation challenges. As Director of Graduate Studies for the Oncology Department (2019-2024) and current formal supervisor for CRUK Cambridge Cancer Centre MRes students, she mentors early-career researchers while teaching on the University's Certificate in Genetics program until 2022. Her advocacy focuses on disability inclusion and combating workplace bullying through epidemiological frameworks that promote belonging in academia. Dunning manages the CCGE's wet-lab team responsible for biological sample curation and genotyping across consortia including Confluence, BRIDGES, and EMBED. Her leadership extends to patient engagement in the Early Detection program, where she supports patient representatives while overseeing sample collection for ctDNA analysis and related studies.

Inna Ponomarevaمشاهده پروفایل

استاد

• Computational Materials Science
• Ferroic Materials
• Phase Transitions
• +۲ مورد دیگر

Inna Ponomareva is Professor and Director of Graduate Admissions in Physics at the University of South Florida. She leads the Computational Nanoscience Lab, specializing in ferroic materials using atomistic simulations and machine learning. Research explores phase transitions, nanoscale phenomena, and caloric effects in functional materials. Current group includes 4 researchers focusing on: Halide perovskite spin physics Ultra-thin ferroelectric behavior Multicaloric effects Recent publications demonstrate advances in controlling spin textures via strain and intercalation in 2D materials. Teaches quantum mechanics and computational physics courses. Recognized with SIGMOD Distinguished Reviewer Award and ELIDEK grants.

Ian Hendersonمشاهده پروفایل

استاد

• Genetics
• Epigenetics
• Meiosis
• +۴ مورد دیگر

Professor Ian Henderson is a leading academic in the Department of Plant Sciences at the University of Cambridge, affiliated with the School of Biological Sciences. He holds the title of Professor of Genetics and Epigenetics and has been a Royal Society University Research Fellow and Gatsby Resident Fellow since 2008. Education: BA in Biological Sciences (University of Oxford, 1997-2000); PhD in Plant Genetics (John Innes Centre, 2000-2004) under Prof. Caroline Dean His research focuses on genetic and epigenetic control of meiotic recombination in plant genomes, with an emphasis on crossover frequency, chromatin interactions, and centromere evolution. His group uses model organisms like Arabidopsis thaliana , wheat, potato, and oak trees. Key trends in his recent publications include centromere genomics , epigenetic regulation of recombination , and application of long-read sequencing to resolve complex genomic regions. Collaborations with agro-biotech companies (Bayer Biosciences, Solynta) aim to translate findings into crop breeding technologies. Scientific Awards EMBO Member (2022) Society for Experimental Biology President's Medal (2013) Royal Society University Research Fellow (2008-2016) Gatsby Research Fellow (2008-2016) EMBO Long Term Fellowship (2004-2008) Professor Henderson's work bridges fundamental research on plant genome evolution with applied strategies to control recombination for climate-resilient crops. His lab employs advanced techniques including nanopore sequencing , ChIP , and high-performance computing for genome analysis.

Kristen Brennandمشاهده پروفایل

استاد

• Psychiatric Genomics
• Stem Cell Biology
• Neurogenetics
• +۳ مورد دیگر

Kristen Brennand is the Elizabeth Mears and House Jameson Professor of Psychiatry and Professor of Genetics at Yale School of Medicine. She leads research at the intersection of genomic engineering, neuroscience, and stem cell biology to decode mechanisms underlying brain diseases. Her work focuses on translating genetic insights into medically actionable information for schizophrenia, autism, PTSD, and Alzheimer’s disease. Education: PhD in Molecular and Cellular Biology from Harvard (2008), Postdoc at Salk Institute Key research areas: Gene-environment interactions , neuronal circuit dysfunction , precision psychiatry , and reversible disease mechanisms Recent publications span single-cell transcriptomics , neurogenetic atlases , and computational psychiatry methods . Awards: Executive Leadership in Academic Medicine (ELAM) Fellowship (2025) Funded by NIH, New York Stem Cell Foundation, Brain Research Foundation, and Brain and Behavior Research Foundation Laboratory: Brennand Lab at Yale School of Medicine

Grant Montgomeryمشاهده پروفایل

استاد

• Genetics
• Genomics
• Reproductive Disorders
• +۴ مورد دیگر

Professor Grant Montgomery is a leading academic at the University of Queensland (UQ), serving as Director of the UQ Genome Innovation Hub and Group Leader of the Genomics of Reproductive Disorders at the Institute for Molecular Bioscience (IMB). His primary focus is on understanding the genetic and epigenetic basis of reproductive disorders, particularly endometriosis, through large-scale genomic studies and functional analyses. His work integrates multi-omics data to identify disease mechanisms and develop translational solutions. Research Interests: Genetic and epigenetic regulation of endometrial function Systems genetics approaches to study complex diseases Functional validation of genomic risk variants Development of clinical tools like eQTL/mQTL browsers Multi-omics integration for disease biomarker discovery Recent Articles: Highlighting endometriosis genetics, comorbidity mechanisms, and novel diagnostic approaches. Key themes include genetic risk stratification, epigenetic dysregulation, and translational applications of genomic data. Collaborations: Active partnerships with institutions globally, including University of California, San Francisco, Oxford Endometriosis CaRe Centre, and Monash University. Major consortia include International Endometriosis Genetics Consortium and Reprogen Consortium. Advising & Training: Supervises PhD students focusing on endometrial cell biology, epigenetic regulation, and computational genomics. Provides training opportunities in functional genomics and systems biology. Labs/Teams: Leads a multidisciplinary team with expertise in molecular biology, bioinformatics, and clinical research. Maintains cell culture facilities and single-cell sequencing capabilities.

Julia Rose Gogمشاهده پروفایل

استاد

• Mathematical Biology
• Infectious Disease Modelling
• Epidemiology
• +۳ مورد دیگر

Julia Rose Gog is a Professor of Mathematical Biology at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP). She holds the David N. Moore Fellowship in Mathematics at Queens' College and serves as Deputy Head of DAMTP, Vice President of Queens' College, and Director of the Millennium Maths Project. Her research focuses on infectious disease dynamics, including influenza strain evolution, spatial spread models, and viral bioinformatics. Gog has received numerous awards, including the Royal Society Rosalind Franklin Award (2020), OBE (2020), and the IMA Hedy Lamarr Prize (2023). She contributed significantly to pandemic response through work with SPI-M-O and the JUNIPER partnership. Education & Career: Gog pursued research fellowships at Queens' College and the University of Cambridge's Zoology Department before becoming a University Lecturer at DAMTP (2006–2013). She was a Visiting Fellow at Princeton University (2010–2012). Her roles include leading interdisciplinary initiatives and public engagement in mathematical sciences. Research Interests: Her work integrates mathematical models with epidemiological data to understand pathogen dynamics, with recent projects on SARS-CoV-2 variants, influenza evolution, and Salmonella in vitro dynamics. She develops bioinformatic tools to detect viral RNA signals. Awards: 2023 IMA Hedy Lamarr Prize 2022 Weldon Memorial Prize 2020 Royal Society Rosalind Franklin Award 2020 OBE 2018 Vice-Chancellor's Impact Award Advising & Grants: While no students are listed here, Gog leads research groups and has secured grants for pandemic modelling and pathogen evolution studies. Her work influences public health policy through collaborations like the JUNIPER consortium. Labs/Teams: She co-leads the Disease Dynamics research group at DAMTP and directs the Millennium Maths Project, promoting STEM education.

Marco Farinaمشاهده پروفایل

استاد

• Electromagnetic Fields
• Scanning Probe Microscopy
• Nanotechnology
• +۴ مورد دیگر

Marco Farina is a Full Professor in Electromagnetics at the Department of Information Engineering, College of Engineering, Polytechnic University of Marche, Italy. His research spans electromagnetic modeling, scanning microwave microscopy, and nanotechnology, with applications in 2D materials, biosensors, and advanced measurement systems. He is a Senior Member of IEEE and actively contributes to Technical Committees on RF Nanotechnology. Laurea and Ph.D. in Electronic Engineering from University of Ancona Research interests focus on quantitative scanning microwave microscopy, electromagnetic analysis of active/passive components, and nanoscale characterization techniques. His work bridges theoretical modeling with practical implementation, including the development of the EM3DS software suite and novel inverted SMM systems. Recent publications highlight interdisciplinary applications in biomedical analysis and semiconductor physics. Scientific recognition includes the 3M-Nano Best Conference Paper Award and grants from US Army Research Laboratory and US Air Force Office of Scientific Research. He holds an ESA-funded patent for VNA calibration and has co-authored a book on planar structure analysis. Collaborative projects emphasize RF device optimization and biological imaging.

• Plant Genetics
• Crop Biodiversity
• Breeding Informatics
• +۵ مورد دیگر

Karl Schmid is a W3 Professor of Crop Plant Biodiversity and Breeding Informatics at the University of Hohenheim's Institute of Plant Breeding, Seed Science and Population Genetics within the College of Agricultural Sciences. His research integrates evolutionary genetics, population genomics, and machine learning to address agricultural challenges. Ph.D. in Biology, University of Munich (1996) Postdoctoral Research, Cornell University (1997-1999) Emmy-Noether Research Group, Max Planck Institute of Chemical Ecology (2000-2006) Group Leader, Leibniz Institute of Plant Genetics (2006-2008) Professor of Genetics, Swedish Agricultural University (2008) His research focuses on crop biodiversity conservation, evolutionary genetics of plant pathogens, and breeding informatics applications. Current work leverages deep learning for phenotyping (quinoa panicles, barley genomics) and analyzes pathogen evolution (Exserohilum turcicum in maize). His team actively develops computational tools like GGoutlieR for geo-genetic pattern detection. Recent publications demonstrate strong trends in applying AI to agricultural genomics, particularly in quinoa improvement and pathogen surveillance. His group leads the EU H2020 INVITE project on molecular markers in plant variety protection and organizes international symposia like the 2024 Quinoa Symposium at Hohenheim. Head of Crop Biodiversity and Breeding Informatics Group Principal Investigator, EU H2020 INVITE project Organizer, International Quinoa Symposium 2024

Marissa A. Ehringerمشاهده پروفایل

استاد

• Behavioral Genetics
• Substance Use Disorders
• Genomics
• +۳ مورد دیگر

Marissa A. Ehringer is Professor and Chair of the Department of Integrative Physiology at the University of Colorado Boulder, with a joint appointment at the Institute for Behavioral Genetics. Her research focuses on identifying genetic mechanisms underlying substance use disorders using genomics and bioinformatics approaches. She directs the Genetics of Substance Use Disorders Laboratory and mentors graduate trainees. Education: B.S. Biology & B.A. French, Indiana University (1995) Ph.D. Human Medical Genetics, University of Colorado Health Sciences Center (2001) Research Interests: Her work integrates behavioral genetics with genomic technologies to study alcohol, tobacco, and opioid use disorders. Key areas include: genetic epidemiology of addiction, neuropharmacology of substance responses, microbiome-gene interactions in opioid use disorder, and translational models of anxiety-related behaviors. Publications: Recent articles demonstrate strong focus on opioid genetics (33%), anxiety mechanisms (25%), diversity/inclusion in genomics (17%), and translational rodent models (25%). Methodological emphasis includes GWAS, transcriptomics, and microbiome analyses. Honors: NIH Training Fellowships (NIMH, NIDA) Leadership positions: RSA Board Member, IBNGS President Faculty Leadership Institute Fellow UROP Outstanding Mentor Award Training & Grants: Currently advises 6 graduate students. Active NIH grants include: U01 DA051937 (genetic networks in opioid disorder), R21 DA05781 (glial role in nicotine behaviors), and AB Nexus award (GCKR variant effects).

Agatha Jassemمشاهده پروفایل

دانشیار بالینی

• Clinical Microbiology
• Virology
• Molecular Diagnostics
• +۷ مورد دیگر

Dr. Agatha Jassem is a Clinical Associate Professor in the Department of Pathology & Laboratory Medicine at the University of British Columbia and serves as the co-program head of the Virology Lab at the British Columbia Centre for Disease Control (BCCDC) Public Health Laboratory. She holds leadership roles as President of both the Canadian Association for Clinical Microbiology and Infectious Diseases and the British Columbia Association of Clinical Scientists. Her educational background includes a BSc (Hons) in Biology from York University (2006), a PhD from UBC's Department of Pathology & Laboratory Medicine (2012), and an accredited Clinical Microbiology Fellowship at the National Institutes of Health Clinical Center (2014). She is certified in clinical microbiology by both the American Board of Medical Microbiology and the Canadian College of Microbiologists (2016). Dr. Jassem's research focuses on developing and implementing molecular and serological diagnostic tests for respiratory pathogens and sexually transmitted and blood-borne infections. She oversees provincial diagnostic and surveillance services for these pathogens and serves as the BC Lab Lead for the Canadian Sentinel Practitioner Surveillance Network, which monitors SARS-CoV-2 and influenza vaccine effectiveness. Her work includes characterizing immune responses post-infection and vaccination, validating novel multiplex serology methods, and studying viral genomics to understand SARS-CoV-2 evolution under vaccine pressure. Her recent publications demonstrate expertise across multiple areas of virology, including SARS-CoV-2 antigenic relationships, respiratory syncytial virus immunity, avian influenza surveillance, and innovative diagnostic approaches like phage immunoprecipitation sequencing. Her work often addresses public health challenges, particularly in serving hard-to-reach populations through initiatives like dried blood spot sampling for HCV and HIV diagnosis. Dr. Jassem has received recognition through her board certifications and leadership positions in professional organizations. Her scientific contributions span both fundamental virology research and practical public health applications, with a particular focus on emerging infectious disease threats and diagnostic innovation. She is actively involved in teaching and science communication, participating in numerous outreach initiatives. Her work bridges clinical microbiology, public health laboratory services, and academic research, making significant contributions to Canada's response to infectious disease threats.

Dongwon Leeمشاهده پروفایل

استادیار

• Computational Biology
• Genomics
• Machine Learning
• +۷ مورد دیگر

Dongwon Lee is an Assistant Professor of Pediatrics in the Division of Nephrology at Boston Children's Hospital and Harvard Medical School. He is affiliated with the Manton Center for Orphan Disease Research and serves as an Associate Member of the Broad Institute of MIT and Harvard. Additionally, he is a faculty member of the Harvard Bioinformatics and Integrative Genomics (BIG) PhD Program, where he contributes to training the next generation of computational biologists. Dr. Lee received his PhD in Biomedical Engineering from Johns Hopkins University in 2013 and completed postdoctoral research at the Center for Human Genetics and Genomics at NYU School of Medicine. His educational background has provided a strong foundation for his interdisciplinary research at the intersection of computational biology, genomics, and pediatric kidney diseases. Dr. Lee's research focuses on understanding how gene regulation contributes to the development and progression of human diseases, specifically pediatric kidney diseases. His laboratory employs a combination of single-cell multiomics data, genetic data from disease cohorts, functional assays, and machine-learning approaches to address complex biological problems. Key research areas include building cell-type-specific gene regulatory networks, developing machine-learning models to identify regulatory variants, and validating predictions using high-throughput sequencing technologies in collaboration with experimental biologists. His work has significant implications for understanding the molecular basis of kidney diseases and developing new genomic computational tools. Analysis of Dr. Lee's recent publications reveals a strong trend toward increasingly sophisticated integration of single-cell multiomic data with machine learning techniques to understand transcriptional regulation in kidney disease. His research spans computational method development, regulatory genomics, and translational applications in nephrology, with a growing emphasis on cell-type-specific resolution and clinical correlations. Dr. Lee leads an active research laboratory with multiple computational biologists and research assistants. His team includes current members Anya Greenberg, Jeerthi Kannan, Yangyang Lin, Daniel Nguyen, and Eric Sakkas, as well as notable alumni including Seong Kyu Han (now Assistant Professor in South Korea), Ana Onuchic-Whitford (now Instructor at Harvard Medical School), and Jihoon Yoon (now Clinical Fellow in South Korea). His laboratory regularly recruits postdoctoral fellows and research assistants with computational backgrounds to advance their research on genomic regulation of kidney diseases. The Lee Laboratory has developed several important computational tools including LS-GKM (a scalable gkm-SVM for large-scale datasets), gkmQC (for quality assessment of chromatin accessibility data), and MTSA (for MPRA tag sequence analysis). These resources are publicly available on GitHub and have been widely adopted by the genomics research community. The laboratory maintains strong collaborative relationships with clinicians and experimental biologists to ensure their computational approaches have meaningful biological and clinical relevance.