جست‌وجوی استاد و پژوهشگر

• Epilepsy Research
• Neurodevelopmental Disorders
• Genetic Epilepsies
• +۳ مورد دیگر

Professor Andreas Brunklaus is a Senior Clinical Research Fellow at the University of Glasgow, specializing in neurology and pediatric neurodevelopmental disorders. His research focuses on understanding the genetic and clinical aspects of epilepsy syndromes, particularly Dravet syndrome and SCN1A-related epilepsies. He leads studies investigating genotype-phenotype correlations, comorbidities, and quality of life impacts in patients with these conditions. Key areas of investigation include the molecular mechanisms underlying sodium channelopathies, the psychosocial burdens faced by caregivers, and the development of precision therapies. His work combines genomic analyses with clinical data to inform diagnostic approaches and therapeutic strategies. Active collaborations with international teams enhance his research impact. Brunklaus has secured grants from organizations such as Biocodex and the UK Office of the Chief Scientific Adviser, supporting natural history studies of SCN1A-related epilepsy. His publications emphasize longitudinal patient outcomes, epilepsy classification advancements, and the identification of genetic modifiers influencing disease severity. Notable contributions include refuting SCN9A's role as an epilepsy gene, analyzing autism comorbidity in Dravet syndrome, and developing predictive models for early epilepsy diagnosis. These efforts aim to improve care pathways and patient management strategies for rare neurological disorders.

• Genomics
• Autism Spectrum Disorder
• Clinical Genetics
• +۳ مورد دیگر

Dr. Bridget Fernandez is a Clinical Professor of Pediatrics at the Keck School of Medicine, University of Southern California (USC), and Associate Director of Clinical Research at The Saban Research Institute, Children’s Hospital Los Angeles. She holds an MD from Memorial University of Newfoundland and an MS in Clinical Epidemiology. Her career includes leadership roles such as Medical Director of Newfoundland’s Provincial Medical Genetic Program (over 20 years) and Chair of Memorial University’s Department of Human Genetics (2012–2020). She has also chaired Canada’s national Medical Genetics Examination Board and led the Canadian College of Medical Geneticists as its President. Her research focuses on genomic studies in autism spectrum disorder (ASD), particularly in Hispanic populations, aiming to close knowledge gaps in genetic variation and clinical outcomes. She leads projects correlating genomic variants with ASD phenotypes and improving diagnostic methodologies through optical genome mapping and long-read sequencing. Dr. Fernandez has worked extensively with Canadian families and now focuses on Hispanic/Latinx cohorts in Los Angeles. In grants and advising, she has managed large-scale genomic studies and collaborative projects like FORGE Canada Consortium. Her work bridges clinical practice and research, emphasizing ethical genomic testing and precision medicine. She contributes to initiatives like the Canadian Open Genetics Repository for variant interpretation. Key professional roles include leadership in medical genetics education, policy development for genomic sequencing in Canada, and clinical program development. Her research integrates molecular genetics, epidemiology, and clinical outcomes to advance ASD understanding and care.

• Mathematical Modeling
• Systems Biology
• Theoretical Physics
• +۳ مورد دیگر

Prof. Dr. Jens Timmer is a Professor of Theoretical Physics at the University of Freiburg, affiliated with the Institute of Physics and the Faculty of Mathematics and Physics. He leads the research group 'Data Analysis and Modelling of Dynamic Processes in the Life Sciences' and serves as Co-Director of the Freiburg Institute for Advanced Studies (FRIAS), specifically within the School of Life Sciences (LifeNet). His research focuses on applying mathematical methods to analyze and model biological and medical dynamical processes, aiming to transform life sciences into quantitative fields. Timmer holds a Ph.D. from the University of Freiburg (1994) and has held postdoc positions at institutions such as the University of Boulder, ETH Lausanne, and New York University. Education: Physics studies at Universities of Oldenburg and Freiburg Ph.D. in Physics, University of Freiburg (1994) Research Interests: Mathematical modeling of biological systems Systems biology and dynamical processes in cells Signal transduction and gene regulatory networks Quantitative analysis of biological data Awards and Roles: Speaker of the German Systems Biology Competence Network HepatoSys Member of the Board of Directors, Centre for Data Analysis and Modelling Member of the Board of Directors, Centre for Systems Biology Freiburg Vice-Speaker of the Freiburg Initiative for Systems Biology Current Projects: Mathematical modeling of cell biological systems, including signaling networks and pattern formation Collaborative projects with the Department of Biology for experimentally validated models Labs and Teams: Research group focusing on data analysis and modeling Interdisciplinary collaborations with biologists and mathematicians

Rodney Leaمشاهده پروفایل

دانشیار

• Statistical Genetics
• Computational Genomics
• Bioinformatics
• +۳ مورد دیگر

Associate Professor Rodney Lea is an academic leader in Computational Genomics at the Genomics Research Centre, Queensland University of Technology (QUT) , with adjunct research affiliations at the Hunter Medical Research Institute, University of Newcastle . He holds a PhD in Statistical Genetics from Griffith University (2002) and has 20+ years of experience in genomic data science. Research Focus: Developing bioinformatics algorithms for multi-omics analysis in complex diseases, including neurological conditions (multiple sclerosis, migraine, epilepsy), chronic kidney disease, and indigenous population genetics. His work bridges systems biology , predictive modeling , and personalised medicine . 7000+ citations (H=45) $13M+ in competitive grants (NHMRC, ARC, NIH) 17 PhD, 25 Masters/Honours students supervised Journal editorial roles (Bioinformatics, Gene) Conference leadership (GeneMappers, ANZGene)

Kyriaki Michailidouمشاهده پروفایل

عضو هیئت علمی

• Biostatistics
• Genetic Epidemiology
• Statistical Genetics
• +۴ مورد دیگر

Dr. Kyriaki Michailidou is an Associate Lecturer in Mathematics and Statistics at the University of Central Lancashire Cyprus (UCLan Cyprus) and an Associate Scientist at the Cyprus Institute of Neurology and Genetics (CING). She holds a PhD in Statistical Analyses of Genome-wide Association Studies in Breast Cancer from the University of Cambridge (2015), an MSc in Applied Statistics from the University of Oxford (2009), and a BA in Mathematics from Aristotle University of Thessaloniki (2008). Her research focuses on biostatistics, genetic epidemiology, and statistical genetics, with a particular emphasis on polygenic risk scores, fine-mapping analyses, and variant classification in cancer genes. She has co-authored over 100 publications in high-impact journals, including Nature , Nature Genetics , and Cancer Discovery . Dr. Michailidou has received several awards, including the Panos Ioannou Junior Scientist Award (2019) and the Young Researcher Award in Life Sciences (2018). She leads the Biostatistics and Epidemiology module at UCLan Cyprus and has secured significant research funding, including a €60,000 grant (CULTURE/AWARD-YR/0418/0017) for modified segregation analysis of BRCA1/2 variants. Her work spans collaborations with global consortia such as the Breast Cancer Association Consortium (BCAC) and ENIGMA, focusing on genomic analyses of cancer susceptibility and clinical variant interpretation. She also contributes to diagnostic NGS pipelines and translational genomic research.

• Psychiatry
• Psychology
• Genetics
• +۵ مورد دیگر

Xingguang Luo is an Assistant Professor and Associate Research Scientist in the Department of Psychiatry at Yale School of Medicine. His academic career spans over two decades with significant contributions to psychiatric genetics and neuroscience research. His educational background includes an MD from Shanghai Medical University (2000), followed by postdoctoral training at Yale University (2000-2003). He served as an Assistant Professor at Yale University School of Medicine from 2006-2012 before advancing to his current position. Dr. Luo's research focuses on the intersection of psychiatry, genetics, and neuroscience, with particular emphasis on substance use disorders, schizophrenia, depression, and sleep disorders. His work employs advanced genomic techniques including genome-wide association studies, methylome-wide analyses, and polygenic risk scoring to understand the biological underpinnings of mental illness. He has made significant contributions to understanding the genetic architecture of alcoholism through NIH-funded projects including R01 grants on alcoholism genetics and R21 grants on substance co-dependence. His recent publications demonstrate a strong trajectory in psychiatric genetics research, with increasing focus on integrating multi-omics approaches with neuroimaging and clinical phenotypes. His work frequently appears in high-impact journals covering schizophrenia, addiction, and mood disorders, with particular emphasis on gene-environment interactions and biomarker discovery. Dr. Luo maintains active collaborations with leading researchers at Yale including Chiang-Shan Ray Li, Joel Gelernter, and John Krystal. His research team frequently publishes on topics ranging from genetic risk variants to neurobiological mechanisms underlying psychiatric conditions. He has received consistent NIH funding for his research on alcoholism genetics, including projects focused on fine-mapping risk loci in ADH gene cluster and ALDH2 gene, deep sequencing of glutamatergic pathway genes in alcohol and nicotine co-dependence, and post-GWAS transcriptome-wide LncRNA profiling in alcoholism.

• Mitochondrial Genomics
• Genetic Variation
• Rare Diseases
• +۵ مورد دیگر

Nicole J. Lake is an Assistant Professor of Genetics at Yale School of Medicine, Yale University. She leads the Lake Lab, established in 2024, focusing on mitochondrial genomics and genetic variation in health and disease. Her research integrates computational and experimental methods to uncover genetic causes of mitochondrial disorders, with applications in rare disease diagnosis and precision medicine. Lake holds a PhD in mitochondrial genetics (2018, University of Melbourne) and completed postdoctoral training at Yale under Monkol Lek. She also earned an MSc (2012) and BSc (2010) in Genetics from the University of Melbourne and University of Edinburgh. Her research interests span mitochondrial genomics, rare diseases, genetic variation, and computational biology. Notable contributions include developing tools like MitoVisualize for mitochondrial variant analysis and leading the Australian Genomics Mitochondrial Flagship program. Lake has been recognized with awards such as the Blavatnik Regional Young Scientist Finalist Award (2024) and Excellence in Mitochondrial Research Award (2020). Key publications include work on mitochondrial DNA variant detection in rare diseases, heteroplasmy's role in cancer risk, and functional assays for disease gene analysis. She collaborates with institutions globally, emphasizing interdisciplinary approaches to genomic medicine. Current initiatives aim to improve variant interpretation and advance mitochondrial disease diagnostics. Lake's lab is part of the Genetics Department and affiliated with programs like the Janeway Society and Molecular Cell Biology. Her work bridges basic science and clinical translation, addressing gaps in understanding mitochondrial dysfunction and its clinical implications.

• RNA Biology
• Epigenetics
• Hematopoiesis
• +۴ مورد دیگر

Jun Lu is an Associate Professor of Genetics and Vice Chair for Diversity in the Department of Genetics at Yale School of Medicine. He holds affiliations with the Center for Biomedical Data Science, Center for RNA Science and Medicine, and Yale Cancer Center. His research focuses on noncoding RNAs and epigenetic mechanisms in hematopoiesis and cancer. Lu earned his PhD from Boston University and completed postdoctoral training at the Broad Institute of MIT and Harvard. Research interests include: glycoRNA function in neutrophils, epigenetic regulation in cancer, and RNA-based therapeutic development. Notable contributions include discovering cell surface RNAs' role in neutrophil recruitment and developing spatial RNA analysis techniques for archived tissues. Lu has received awards such as the Stewart Trust Fellowship and Forbeck Scholarship. His lab collaborates extensively, including with Sajid Khan on cancer immunology and Diane Krause on stem cell biology. Current projects explore glycoRNA biogenesis, neutrophil nuclear morphology, and cancer-immune interactions. Lu serves on the Yale Combined Program in Biological and Biomedical Sciences (BBS) admissions committee.

Xianjun Dongمشاهده پروفایل

دانشیار

• Computational Genomics
• Transcriptional Regulation
• Non-Coding RNAs
• +۴ مورد دیگر

Dr. Xianjun Dong is an Associate Professor of Neurology at Yale University School of Medicine, specializing in computational genomics and systems biology. His research focuses on transcriptional regulation, non-coding RNAs, and multi-omics integration to study neurological diseases such as Parkinson’s and Alzheimer’s. He has developed web-based tools like powerEQTL and FLED, and contributed to projects in the ENCODE consortium. Dr. Dong holds a PhD in Bioinformatics from the University of Bergen and postdoctoral training at UMass Chan Medical School. He has over 40 publications with 24,000+ citations, an H-index of 30, and funding from NIH, APDA, and ASAP. His lab collaborates across disciplines to bridge computational and experimental methods in genome biology. Key research areas include: (1) transcriptional regulation mechanisms, (2) non-coding RNA roles in neurodegeneration, and (3) AI-driven precision medicine using multi-modal data integration. Recent work highlights circular RNA roles in neuropsychiatric diseases and enhancer-driven genetic risk pathways. Awards include NIH grants (R01, U19, etc.) and APDA support. His lab’s projects involve public datasets and experimental data generation, with a focus on collaborative discovery in genomic medicine.

Alexandre Belloniمشاهده پروفایل

استاد

• Machine Learning
• Statistics
• Econometrics
• +۵ مورد دیگر

Alexandre Belloni is the Westgate Distinguished Professor of Decision Sciences at Duke University's Fuqua School of Business, with a joint appointment in Statistical Science at Trinity College of Arts & Sciences. He holds a Ph.D. in Operations Research from MIT (2006) and a M.Sc. in Mathematical Economics from IMPA (2002). His research focuses on machine learning, statistics, mechanism design, and optimization, with applications in business, public policy, and digital markets. He has contributed to high-dimensional econometrics, causal inference, and auction design. Education: Ph.D. in Operations Research, MIT, 2006 M.Sc. in Mathematical Economics, IMPA, 2002 Research Interests: His work bridges statistics, economics, and operations research, emphasizing causal inference, quantile regression, and mechanism design. Notable areas include optimal auction design, latent agent networks, and high-dimensional panel models. His methods address challenges in data-rich environments, such as resource allocation and treatment effect evaluation. Publications: Recent work includes mechanisms for multiunit buyers, latent agent networks, and high-dimensional quantile regression. His research often combines theoretical rigor with practical applications, such as Amazon's storage optimization for third-party sellers. Awards: 2007 Young Researchers Competition in Continuous Optimization Award 2022 Da Vinci Award (Amazon SCOT) 2022 Bank of America Award, Fuqua School of Business Grants & Activities: Co-Principal Investigator on NSF-funded Applied Mechanism Design Research (2009–2011). Collaborates with Amazon as an Amazon Scholar, addressing technical challenges in data science and machine learning. Labs & Teams: Active in Duke's Decision Sciences group and collaborates with interdisciplinary teams on projects like causal inference in policy evaluation and dynamic mechanism design.

Hiroshi Mamitsukaمشاهده پروفایل

استاد

• Machine Learning
• Bioinformatics
• Systems Biology
• +۴ مورد دیگر

Hiroshi Mamitsuka is a Professor at Kyoto University, holding positions in the Graduate School of Pharmaceutical Sciences and the Institute for Chemical Research's Bioinformatics Center. He also serves as a Visiting Professor at the Helsinki Institute for Information Technology (HIIT) and the Department of Computer Science. His expertise spans machine learning, bioinformatics, and systems biology, with a focus on applications in drug discovery and precision medicine. He has led the project 'Intelligent Crop Production: Data-integrative, Multi-task Learning Meets Crop Simulator' from 2018–2022. His research has been recognized through awards such as the IEEE Kansai Section Medal and the 'Certificate of Appreciation' from the IEEE Computer Society. Mamitsuka actively contributes to academic communities through editorial roles (e.g., Systems Medicine ) and invited talks on topics like graph-based machine learning and bioinformatics. His work addresses global challenges in health and agriculture, aligning with UN Sustainable Development Goals.

Anja Schneiderمشاهده پروفایل

پژوهشگر

• Plant Biology
• Manganese Homeostasis
• Photosynthesis
• +۳ مورد دیگر

PD Dr. Anja Schneider is a Staff Scientist at Ludwig Maximilian University of Munich's Faculty of Biology, Department of Plant Sciences. Her research focuses on manganese homeostasis and plastid inheritance mechanisms in Arabidopsis, rapeseed, and petunia. She coordinates Plant Science II courses at the bachelor and master levels and serves as a safety commissioner in the greenhouse facility. Her work integrates molecular genetics, biochemical assays, and evolutionary perspectives to elucidate fundamental processes in chloroplast function and metal transport. Dr. Schneider's research highlights include discovering the role of CHLOROPLAST MANGANESE TRANSPORTER1 in metal homeostasis, characterizing the PAM71 protein's evolutionary conservation across kingdoms, and analyzing paternal plastid inheritance patterns in Petunia hybrids. She collaborates extensively with groups studying photosynthetic efficiency and thylakoid membrane dynamics, with over 30 peer-reviewed publications since 2003. Key Research Themes: Manganese transport mechanisms in chloroplast envelope membranes Thylakoid membrane protein biogenesis Evolution of metal transport proteins Plastid DNA inheritance patterns Teaching: Bachelor/Master Plant Science II coordination, lab course supervision Facility Roles: Greenhouse safety commissioner (BBS), equipment coordination Her publications span from foundational studies on STN7 kinase roles in light acclimation (2010) to recent discoveries about conserved UPF0016 protein functions (2021). Current projects explore synthetic biology approaches to engineer manganese-tolerant crops and investigate cross-kingdom transport mechanisms using cyanobacterial-Arabidopsis comparisons.

Wenjia Baiمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence in Medicine
• Medical Imaging
• Machine Learning
• +۵ مورد دیگر

Wenjia Bai is a Senior Lecturer in Artificial Intelligence in Medicine at Imperial College London, jointly appointed in the Department of Computing and the Department of Brain Sciences. She leads the Medical Vision group at the Data Science Institute and is a faculty member of the Biomedical Image Analysis (BioMedIA) Group. Prior to her current role, she held a Lectureship position from 2018 and became Senior Lecturer in 2022. Bai has a B.Eng and M.Eng in Automation from Tsinghua University (Distinction) and a D.Phil in Engineering Sciences from the University of Oxford, supervised by Prof. Sir Michael Brady. She previously collaborated with Prof. Daniel Rueckert before her lectureship. Education: B.Eng in Automation, Tsinghua University M.Eng in Automation, Tsinghua University D.Phil in Engineering Sciences, University of Oxford Research Interests: Bai's work focuses on advancing artificial intelligence and machine learning in medical imaging, particularly in cardiac and neurological applications. She develops algorithms for automated segmentation, motion analysis, and generative models to uncover disease mechanisms and improve clinical decision support. Her research also integrates genomics with imaging phenotypes to identify genetic determinants of cardiovascular and neurological disorders. She emphasizes open science, contributing to datasets like CMRxRecon2024 and deploying tools for large-scale studies such as the UK Biobank. Articles Trends: Her recent work highlights contributions to medical vision-language models, universal learning frameworks for cardiac reconstruction, and unsupervised clustering techniques for urban development analysis. She bridges AI with cardiology and neurology, addressing challenges in limited data scenarios and enhancing diagnostic accuracy through multimodal integration. Scientific Awards: Best Paper Award for Journal of Cardiovascular Magnetic Resonance (2018) Imperial College President’s Award for Outstanding Research Team (2019) Dudley Pennell Prize (2022) Advising & Grants: Bai advises PhD student Doga, whose work culminated in a successful viva. She leads grants as Principal Investigator for EPSRC, BHF New Horizon, and NIHR pilot projects. As a research stream leader in the SmartHeart programme (2016–2021) and co-investigator in CVD-Net (2024–2029), she drives cardiovascular research initiatives. Additionally, she serves on grant panels for Heart Research UK and the Multiple Sclerosis Society. Labs & Teams: She is affiliated with the Biomedical Image Analysis (BioMedIA) Group and leads the Medical Vision group within the Data Science Institute, fostering interdisciplinary collaboration in medical AI and imaging.

Markus Buehlerمشاهده پروفایل

استاد

• Bioinspired materials
• Generative AI
• Multiscale materials modeling
• +۷ مورد دیگر

Markus Buehler is a Professor in the Department of Civil and Environmental Engineering at the Massachusetts Institute of Technology (MIT). His research focuses on bioinspired materials, generative AI, and multiscale materials modeling. He integrates principles from biology, engineering, and computation to address sustainability and material innovation challenges. Research interests include generative AI applications in materials design, protein mechanics, and nanotechnology. He develops frameworks like MechGPT and MechAgents to solve mechanics problems and accelerate discovery through multi-agent systems. His work also explores bio-inspired composites, such as spider silk and diatom-inspired structures, alongside sustainable solutions for energy storage and construction materials. Dr. Buehler has received the Foresight Institute Feynman Prize for nanotechnology advancements. His collaborative projects span industry and educational outreach, including a study on basalt fibers with MIT and JEOL USA. He emphasizes computationally driven approaches to bridge molecular and macroscopic scales, enhancing the design of adaptive and functional materials. His research teams, including SciAgents and ProtAgents , combine AI with physics-based models to advance protein discovery and materials informatics. These efforts aim to create robust, hybrid-living materials and improve fracture mechanics predictions through deep learning.

Jennifer Bhatnagarمشاهده پروفایل

دانشیار

• Microbial Ecology
• Biogeochemistry
• Ecosystem Science
• +۳ مورد دیگر

Jennifer Bhatnagar is an Associate Professor in the Department of Biology at Boston University, affiliated with the College of Arts and Sciences. She holds a PhD from the University of California, Irvine, and leads research focused on microbial ecology, biogeochemistry, and ecosystem science. Her work explores the biochemical mechanisms by which fungi drive large-scale biogeochemical processes, particularly in forest ecosystems. Key research areas include fungal species interactions, mycorrhizal symbiosis, and microbial responses to climate change. Dr. Bhatnagar’s research integrates biochemical analyses, sequencing technologies, and computational modeling to study fungal roles in nutrient cycling, decomposition, and stress adaptation. Her current projects investigate molecular mechanisms of fungal interactions, secretome dynamics in plant-fungal associations, and microbial resilience to climate shifts. She maintains an active lab group and collaborates on interdisciplinary studies linking microbiome data to ecological forecasts. Education: PhD in Biology, University of California, Irvine Lab Website: https://microbesatbu.wordpress.com/ Focus Areas: Fungal Ecology, Biogeochemical Cycles, Climate Change Impacts Publications highlight her contributions to understanding fungal-driven processes in soils, including studies on ectomycorrhizal symbiosis, litter decomposition, and microbiome predictability. Her work bridges microbial biology with ecosystem-level phenomena, informing strategies for ecosystem restoration and climate resilience.