جست‌وجوی استاد و پژوهشگر

Tanja Laskeمشاهده پروفایل

پژوهشگر

• Systems Medicine
• Computational Biology
• Virology
• +۳ مورد دیگر

Dr. Tanja Laske is a Group Leader at the Cosy.Bio lab within the Faculty of Mathematics, Informatics and Natural Sciences at the University of Hamburg. Her research focuses on computational systems biology, integrating multi-omics data with mechanistic models and machine learning to address challenges in systems medicine. She holds a PhD in Bioprocess Engineering from the Max Planck Institute for Dynamics of Complex Technical Systems and a Master’s in Biosystems Engineering from Otto von Guericke University Magdeburg. Her work includes experimental studies on adenoviral vector production and mathematical modeling of virus replication dynamics. Her research interests span systems biology, virology, and bioprocess optimization. Key projects include analyzing defective interfering particles in influenza viruses, modeling virus-host interactions, and developing algorithms for differential co-expression analysis (e.g., DRaCOon). She also explores metabolic dysregulation in diabetic bone regeneration and proteomic biomarker discovery for bone-related diseases. Recent work emphasizes computational methods like FedProt for federated proteomic analysis and ProHarMeD for drug repurposing. Her publications highlight contributions to normalization techniques in proteomics, patient stratification via UnPaSt, and mechanistic modeling of viral dynamics. No scientific awards or grants are explicitly listed. She advises no students, though her group contributes to collaborative research projects. Her lab, Cosy.Bio, focuses on systems medicine applications and interdisciplinary approaches to biomedical challenges.

Silke Van Elferenمشاهده پروفایل

پژوهشگر

• Biomarkers
• Cardiomyopathies
• DNA Methylation Analysis
• +۳ مورد دیگر

Silke Van Elferen is a Research Associate at the University of Hamburg's Faculty of Mathematics, Informatics and Natural Sciences, within the Computational Systems Biology department. She is concurrently completing a Master's degree in Drug Development and Neurohealth at Maastricht University. Her research focuses on biomarker identification in cardiomyopathies and federated DNA methylation data analysis, conducted under collaborations with CoSy.Bio. Education: BSc (Hons) in Forensic Science, Anglia Ruskin University MSc in Systems Biology, Maastricht University (thesis: federated DNA methylation workflow implementation) Research Interests: Silke specializes in translational bioinformatics, particularly in developing computational frameworks for multi-omics data integration. Her current work targets tissue-specific and blood-based biomarkers for cardiomyopathies, leveraging federated learning approaches to enhance data privacy in genomic studies. She also explores applications of systems biology in drug development pathways. Labs/Teams: Active contributor to CoSy.Bio, collaborating with Dr. Olga Tsoy and Lena Hackl on thesis projects. Previously mentored by Dr. Olga Zolotareva during her MSc thesis.

• Pain Management
• Sleep Disorders
• Machine Learning in Healthcare
• +۵ مورد دیگر

Carl Saab is an Adjunct Professor of Engineering at Brown University's School of Engineering. His research focuses on neurophysiological mechanisms of pain and sleep, leveraging machine learning, quantum computing, and advanced neuroimaging techniques. He explores biomarker discovery for chronic conditions like neuropathic pain and migraine, and develops innovative treatments such as spinal cord stimulation protocols. Education details are not explicitly provided in the text, but his extensive publication record indicates expertise in neuroscience, biomedical engineering, and computational biology. His work bridges clinical applications and technological innovation, addressing challenges in pain management, sleep medicine, and neurological disorders. Research interests include: Neuropathic pain mechanisms and therapies Sleep-disordered breathing and cardiovascular risk stratification Machine learning in biomarker identification Quantum computing's role in multi-factorial disease analysis EEG/EMG-based pain assessment systems Recent publications emphasize foundational models for clinical decision-making, spinal cord stimulation efficacy, and migraine neurophysiology. Though awards are not listed, his prolific output suggests significant contributions to translational neuroscience. Advising and grant details are not specified, but his work likely involves interdisciplinary collaborations across engineering and medical fields.

Yike Shenمشاهده پروفایل

استادیار

• Environmental Health Sciences
• Microbiome Research
• Environmental Toxicology
• +۳ مورد دیگر

Dr. Yike Shen is an Assistant Professor of Earth and Environmental Sciences at the University of Texas at Arlington. Their research focuses on integrating environmental exposures, multi-omics data, and health outcomes through computational precision environmental health. They hold a PhD in Environmental Science & Policy and Environmental Toxicology from Michigan State University and a BS in Environmental & Conservation Sciences from the University of Alberta. Research interests include environmental health sciences, microbiome studies, and computational methods for risk assessment. They have published extensively on topics like pesticide dissipation, chemical ecotoxicity prediction, and cohort networks for data-driven discovery. Notable awards include the University of Texas System Rising STARs award and the College of Agriculture and Natural Resources Food Systems Fellowship. Dr. Shen has secured multiple grants, including a federal HUD grant for indoor air quality interventions and a USDA-funded summer internship program. They teach courses like Machine Learning for Environmental Science and Environmental Data Science. Their lab, the Shen Research Group, emphasizes interdisciplinary approaches to environmental health challenges.

• Cancer Genomics
• Transcriptomics
• Next-Generation Sequencing
• +۴ مورد دیگر

Stephen Madden is Senior Lecturer in Computational Biology at RCSI's Data Science Centre, holding a PhD from University College Dublin. His research applies bioinformatics and statistical approaches to cancer genomics and precision medicine. Key research areas include multi-omics integration in breast cancer, therapeutic target discovery, and predictive modeling of treatment response. Recent work examines extracellular vesicles in neonatal development, immunothrombosis mechanisms in hematologic malignancies, and implantable sensor technologies. Publications demonstrate expertise in proteomic profiling, preclinical model development, and computational method implementation. Teaching focuses on programming, transcriptomics, and genomics for biomedical students. He serves as Deputy Director for the MSc in Technologies and Analytics in Precision Medicine and supervises PhD projects in cancer systems biology.

Susanta Behuraمشاهده پروفایل

استادیار

• Computational Biology
• Developmental Genomics
• Fetal Brain Development
• +۳ مورد دیگر

Dr. Susanta Behura is an Assistant Professor in the Division of Animal Sciences at the University of Missouri's College of Agriculture, Food and Natural Resources. His research integrates computational approaches with multi-omics data to investigate fundamental questions in animal genetics, genomics, and reproductive biology. Research Focus: Computational analysis of fetal brain development pathways Epigenetic regulation of brain-placental axis Single-cell transcriptomics of developmental processes His recent publications utilize transcriptomic, epigenetic, and metabolomic approaches to study sex-biased metabolic regulation and placental adaptation in mammalian development. Dr. Behura teaches Functional Genomics of Mammals and mentors graduate students in bioinformatics approaches for biological discovery.

Matti van Welzenمشاهده پروفایل

پژوهشگر ارشد

• Systems Biology
• Bioinformatics
• Inflammation Resolution
• +۲ مورد دیگر

Dr. Matti van Welzen is a Research Fellow at the Department of Systems Biology and Bioinformatics at the University of Rostock. His research focuses on computational modeling of biological systems with emphasis on inflammation pathways and disease networks. Current projects include SYLOBIO, MASLD Map, and the Atlas of Inflammation Resolution. He develops network-based approaches for analyzing complex biological processes and disease mechanisms, particularly at the intersection of inflammation, metabolism and aging. Recent publications demonstrate advanced computational techniques for mapping disease phenotypes. Dr. van Welzen collaborates with Biologische Heilmittel Heel GmbH on inflammation research and has presented work at international systems biology conferences.

• Bioinformatics
• Radiation Biology
• Biodosimetry
• +۳ مورد دیگر

Sonja Strunz is a researcher at the Department of Systems Biology and Bioinformatics, affiliated with the Faculty of Computer Science and Electrical Engineering at the University of Rostock. Her work focuses on radiation biodosimetry and biomarker discovery through transcriptomic analysis of radiation-exposed human peripheral blood lymphocytes. Doctorate in Computer Science (2007-2014), University of Rostock Masters in Bioinformatics (2000-2007), University of Tübingen (inferred) Her research investigates radiation-induced transcriptional changes, dose-dependent gene expression patterns, and development of computational frameworks for radiation dose prediction. She has contributed to understanding radiation's effects on apoptosis, DNA damage, and cell-cycle regulation through bioinformatic analysis. Analysis of her publications reveals expertise in radiation biology, transcriptomics, and systems modeling. Her work combines p-value/fold-change methods with network approaches to identify robust gene signatures for dose estimation and develops computational workflows for molecular biodosimetry applications. She maintains collaborations with institutions including Forschungszentrum Jülich and University Medical Center Hamburg-Eppendorf, supported by funding from Germany's Federal Ministry for Education and Research (BMBF) and Federal Ministry for the Environment.

Alioune Ngomمشاهده پروفایل

استاد

• Bioinformatics
• Machine Learning
• Computational Biology
• +۳ مورد دیگر

Dr. Alioune Ngom is a Professor and Graduate Program Chair at the School of Computer Science, University of Windsor. He holds a Ph.D. in Computer Science from the University of Ottawa with additional graduate degrees in the field. Dr. Ngom founded Genesis Genomics Inc. and maintains affiliations with this organization. His research spans multiple interdisciplinary domains with primary focus areas including: Bioinformatics and computational biology (DNA microarray analysis, mitochondrial genomics) Machine learning applications (clustering, classification, neural networks) Network optimization (wireless mobile networks, scheduling) Computational methods in biomedicine (protein structure prediction, drug discovery) Recent publications demonstrate strong focus on AI integration in life sciences, particularly graph neural networks for drug discovery and multi-modal learning frameworks. Publication trends show increasing emphasis on transformer architectures, trustworthy AI systems, and clinical applications of deep learning. Dr. Ngom mentors graduate students as evidenced by his role as Graduate Program Chair.

• Systems Biology
• Bioinformatics
• Computational Biology
• +۹ مورد دیگر

Mario Lauria is an Associate Professor at the Department of Mathematics of the University of Trento, also affiliated with the Interdepartmental Center for Mind/Brain Sciences (CIMEC). He holds a PhD in Electrical and Computer Engineering from the University of Naples Federico II and conducted postdoctoral research at the University of Illinois and UC San Diego. He has held academic positions at The Ohio State University, TIGEM in Naples, and the Microsoft Research-COSBI Centre. His research focuses on computational methods for biomarker discovery, systems biology, and gene regulatory network analysis. Lauria has coordinated multiple EU and industry-funded projects, including work on metabolic markers of pre-diabetes and systems biology approaches to neurodegenerative diseases. Education: PhD in Electrical and Computer Engineering, University of Naples Federico II (1997) M.S. in Computer Science, University of Illinois at Urbana-Champaign (1996) Laurea in Electrical Engineering, University of Naples Federico II (1992) Research interests emphasize bioinformatics , systems biology , and high-performance computing , with applications to gene regulatory networks, diagnostic biomarkers, and multi-omics data integration. His work bridges computational methods with biological systems, particularly in aging, neurodegenerative diseases, and metabolic disorders. Publications reflect a focus on Alzheimer’s biomarkers , diabetes , and gene network analysis . Key contributions include rank-based biomarker algorithms and consensus clustering methods for metabolic profiles. His interdisciplinary approach spans computational tools (e.g., SCUDO, rScudo) and collaborative projects with pharmaceutical and academic partners. Awards include the 2012 SBV IMPROVER Challenge win and IEEE Senior Membership. He serves on editorial boards for journals like IEEE Transactions on Parallel and Distributed Systems and BMC Bioinformatics . Grants and collaborations include leadership in the EarlyBird pre-diabetes project and contributions to EU-funded initiatives like AnEUploidy . His academic service roles include coordinating the Data Science and Quantitative Biology master’s programs at Trento University. Labs/Teams: Active in the Microsoft Research-COSBI Centre for systems biology and the CIMEC interdisciplinary neuroscience hub.

• Plant Genetics
• Genomics
• Molecular Biology
• +۳ مورد دیگر

Christian Bachem is a Researcher at the Laboratory of Molecular Biology, Wageningen University & Research, focusing on plant genetics and genomics. His work centers on understanding the genetic basis of agronomic traits in crops like potato, including tuber development, stress responses, and genetic diversity. He has led and contributed to projects such as the Accelerated Development of multiple-stress tolerant PoTato (ADAPT) and the genomic basis of modern potato cultivars. Bachem has supervised multiple PhD candidates, including studies on self-compatibility, tuber traits, and genome-wide association studies. His research integrates multi-omics data (genomics, transcriptomics, metabolomics) to uncover mechanisms underlying plant adaptation. Notable contributions include the genomic variation map of potato and studies on circadian regulation of metabolic pathways. He has also served as an editor for Potato Research journal since 2000.

Rachel Wangمشاهده پروفایل

دانشیار

• Statistical Network Modeling
• Statistical Machine Learning
• Genomic Data Analysis
• +۳ مورد دیگر

Dr. Rachel Wang is an Associate Professor in the School of Mathematics and Statistics at the University of Sydney. Her research focuses on statistical network modeling, machine learning, and applications to genomics. She holds a PhD from UC Berkeley and completed postdoctoral work at Stanford University. Previously, she was a Harrington Faculty Fellow at the University of Texas, Austin. Education: PhD in Statistics, UC Berkeley Postdoctoral Fellowship, Department of Statistics, Stanford University Research Interests: Statistical methods for biological networks High-dimensional data analysis Single-cell genomics and multimodal data integration Conformal prediction and robust classification Grants and Awards: Harrington Faculty Fellow (2021-2022) Australian Research Council Discovery Early Career Researcher Award (2017) Teaching: STAT3023/3923 Statistical Inference (University of Sydney) STAT2011 Probability and Estimation Theory (course coordinator) Past teaching roles at Stanford University Research Tools: Developed scTIE and scJoint methods for single-cell data integration, and contributed to TAD boundary detection algorithms in genome analysis.

Deborah Mackayمشاهده پروفایل

استاد

• Medical Epigenetics
• Human Genetics
• Genomic Medicine
• +۳ مورد دیگر

Professor Deborah Mackay is a Professor of Medical Epigenetics at the University of Southampton. She is affiliated with the Institute for Life Sciences, Human Genetics and Genomic Medicine, and the Institute of Developmental Sciences. Her research focuses on imprinting disorders, genomic DNA methylation, and genetic factors influencing diabetes and growth disorders. Research Projects: Active: Understanding The Impact Of Multi-locus Imprinting Disturbance (Medical Research Council-funded) Completed: Identifying factors required for genomic DNA methylation (Medical Research Council) Multi-omics approaches in asthma pathogenesis (Wessex Medical Research) Her work integrates genetic and genomic data to address clinical outcomes in developmental disorders, with a focus on translational medicine. Collaborations include interdisciplinary teams across medicine, engineering, and life sciences. Professor Mackay leads several grants from funders like Diabetes UK, Newlife Charity, and the Child Growth Foundation, emphasizing clinical and molecular studies in transient neonatal diabetes and growth disorders.

Julia Ballyمشاهده پروفایل

پژوهشگر ارشد

• Plant Biotechnology
• Genetic Engineering
• Molecular Biology
• +۳ مورد دیگر

Dr. Julia Bally is a Research Fellow in QUT's Centre for Agriculture and the Bioeconomy, affiliated with the Faculty of Science's School of Biology & Environmental Science. She holds a PhD in Biological Science from Université Lille 1 (2008) and completed postdoctoral work at Bayer CropScience and the University of Sydney under an ARC Super Science Fellowship. Her research focuses on plant biotechnology, particularly using Nicotiana benthamiana as a model to develop gene expression systems for industrial applications, including RNAi-based pest control and recombinant protein production. Collaborations include work with Corteva Agriscience on trans-kingdom RNAi for agricultural pest management. Education: PhD in Biological Science, Université Lille 1 - Science and Technology (2008) Postdoctoral training at Bayer CropScience (rhizobium-legume symbiosis, nitrogen fixation) ARC Super Science Fellowship at University of Sydney (2011–2014) Research Interests: Dr. Bally's work spans plant genetic engineering, molecular biology, and sustainable agriculture. Key areas include: Optimizing chloroplast-based protein expression systems Developing RNAi strategies for pest resistance Investigating drought tolerance mechanisms in plants Leveraging nanotechnology for biopesticide delivery Labs/Teams: She leads the Genetics and Molecular Biology program within the Centre for Agriculture and the Bioeconomy, collaborating with industry partners to translate research into real-world agricultural solutions.

Hardev Pandhaمشاهده پروفایل

استاد

• Medical Oncology
• Urological Oncology
• Oncolytic Virotherapy
• +۳ مورد دیگر

Hardev Pandha is a Professor of Medical Oncology at the University of Surrey, affiliated with the School of Biosciences within the Faculty of Health and Medical Sciences. He specializes in urological oncology and medical oncology, with a focus on translational research in cancer immunotherapy and virotherapy. His clinical and academic career includes roles at institutions such as the Royal Postgraduate Medical School at Hammersmith Hospital, Royal Marsden Hospital, and St George's, University of London. His research explores innovative treatments like oncolytic viruses (e.g., coxsackievirus A21) for bladder cancer, genetic risk assessment for prostate cancer, and immunotherapeutic strategies to combat cancer progression. Key projects include a Phase II trial of a modified vaccinia Ankara-5T4 vaccine for ovarian cancer and studies on EN2 protein as a bladder cancer biomarker. Pandha collaborates internationally, with work published in high-impact journals. His research aims to improve cancer diagnosis, treatment efficacy, and patient outcomes through cutting-edge molecular and immunological approaches. Educational Background Bachelor of Medicine, University of Birmingham PhD in Molecular Oncology (Imperial College London), conducted at Imperial Cancer Research Fund labs Visiting Fellowship at Stanford University Research Interests Pandha’s work spans: Virotherapy: Using coxsackievirus to target bladder cancer with minimal side effects Immunotherapy: Enhancing anti-tumor immunity via combination therapies (e.g., checkpoint inhibitors, histone deacetylase inhibitors) Genetic Risk Modeling: Developing polygenic hazard scores to predict prostate cancer progression Molecular Diagnostics: Identifying biomarkers like EN2 protein for early cancer detection Cancer Biology: Investigating neuroendocrine transdifferentiation in prostate cancer Grants & Collaborations Pandha leads UK-wide clinical trials and collaborates with institutions like Waters Corporation on translational research. His work has been funded by organizations such as Viralytics Ltd and the UK Biobank. Labs & Teams He oversees research teams focused on oncology translational medicine, viroimmunology, and molecular diagnostics within the University of Surrey’s School of Biosciences. His lab investigates tumor microenvironment dynamics and microbiome interactions in bladder cancer.