Dr. Richard Alfred Noske is affiliated with the School of the Environment at the University of Queensland , where he contributes to ornithological research and conservation biology. His work spans tropical avian ecology, endangered species monitoring, and wildlife trade analysis. Dr. Noske's research focuses on Bird diversity in fragmented and tropical ecosystems Cooperative breeding behaviors in avian species Illegal wildlife trade networks and conservation policy Raptor and hornbill nesting ecology His recent publications highlight collaborations across Southeast Asia, with fieldwork in Malaysia, Indonesia, and Papua New Guinea. Dr. Noske's work emphasizes conservation strategies in human-impacted habitats and the role of social media in wildlife trafficking. Contact: r.noske@uq.edu.au
Dana Mukamel is a Professor of Medicine at the University of California, Irvine, with an affiliation in the Department of Population Health & Disease Prevention within the School of Public Health. Her research focuses on healthcare policy, geriatrics, mental health, and chronic disease management, particularly advanced chronic kidney disease (CKD) and cancer care. She explores topics such as Medicare Part D cost disparities, nursing home staffing and quality, digital mental health interventions, and rural-urban healthcare gaps. Dana's recent publications highlight trends in digital health adoption during the pandemic, staffing instability in nursing homes, and CKD treatment outcomes. Her work often intersects with health equity, examining disparities in rural and minority populations, and innovates through technology-driven care coordination models for seniors. She contributes to policy evaluations, including the Medicare Prescription Payment Plan, Certificate of Need regulations, and Medicaid waiver programs. Her projects frequently involve multi-site collaborations and stakeholder engagement, especially with peer perspectives in mental health interventions and county-level healthcare systems.
Kristopher T. Kahle, M.D., Ph.D. is an Assistant Professor Adjunct of Neurosurgery at Yale School of Medicine, with additional appointments in Pediatrics and Cellular and Molecular Physiology. He serves as Director of Neonatal and Congenital Anomaly Neurosurgery within the Division of Pediatric Neurosurgery at Yale New Haven Children's Hospital. MD and PhD from Yale School of Medicine (2007) Neurosurgical residency at Massachusetts General Hospital (2014) Pediatric neurosurgery fellowship at Boston Children's Hospital (2015) Postdoctoral research fellowship with Stephen Elledge and David Clapham at Harvard University (2015) Dr. Kahle's research focuses on identifying the genes and pathways that regulate ion and water homeostasis in the developing nervous system, and how genetically-encoded or maladaptive changes contribute to neurodevelopmental disorders. His work employs molecular genetic tools including whole exome and genome sequencing to discover molecular determinants of conditions like congenital hydrocephalus, with the goal of translating basic science advances into novel therapeutic strategies for pediatric neurosurgical diseases. His clinical practice encompasses disorders of neurodevelopment including hydrocephalus, arachnoid cysts, congenital vascular malformations, Chiari malformations, spina bifida, tethered spinal cord, and pediatric brain and spinal cord tumors. Analysis of Dr. Kahle's recent publications reveals a strong focus on the molecular genetics of neurodevelopmental disorders, particularly hydrocephalus and related conditions. His research spans from basic molecular mechanisms to clinical applications, with significant work on CSF dynamics, genetic pathways in neural development, and the intersection of neurosurgery with molecular genetics. The publications demonstrate collaborative work with leading researchers in neurogenetics and neurosurgery, often utilizing advanced genomic and proteomic techniques to understand the pathophysiology of pediatric neurological conditions. Dr. Kahle maintains active research collaborations with numerous colleagues including Richard Lifton, MD, PhD (7 publications), Tyrone DeSpenza Jr, MD, PhD (6 publications), Engin Deniz, MD (3 publications), and Evelyn Lake, PhD (3 publications), among others. His work bridges clinical neurosurgery with cutting-edge molecular genetics research, focusing on translating basic science discoveries into improved clinical outcomes for children with neurosurgical conditions. Dr. Kahle directs the Neonatal and Congenital Anomaly Neurosurgery program and is affiliated with the Kahle Lab and Yale's Normal Pressure Hydrocephalus Program, where his team investigates the molecular basis of neurodevelopmental disorders with the goal of developing novel therapeutic approaches.
Pedram Razavi serves as a Clinical Assistant Professor within the Department of Medicine at Memorial Sloan Kettering Cancer Center (MSKCC), where he holds appointments in the Breast Medicine Service and Solid Tumor Oncology Division. His clinical and research activities focus exclusively on advancing precision oncology for breast cancer patients through genomic and computational approaches. Dr. Razavi's research program centers on decoding the genomic architecture of metastatic breast cancer to develop predictive biomarkers and optimize therapeutic strategies. His work spans three critical domains: (1) liquid biopsy development for real-time ctDNA monitoring during CDK4/6 inhibitor therapy, (2) machine learning integration of multimodal data to predict real-world progression-free survival, and (3) mechanistic studies of mutational drivers like APOBEC3 and ERBB2 in therapy resistance. Recent investigations reveal how double PIK3CA mutations in cis configuration enhance oncogenicity while increasing PI3Kα inhibitor sensitivity, and how ERBB2 activating mutations enable trastuzumab deruxtecan efficacy in HER2-non-amplified disease. Analyzing his 184 publications (including 18 in 2025), a clear trajectory emerges toward clinically actionable genomic insights. Over 70% of his recent work appears in high-impact journals like Journal of Clinical Oncology (42 publications) and Cancer Research (26), with meeting abstracts dominating his 2025 output reflecting active clinical trial engagement. His research consistently bridges basic mechanisms (e.g., APOBEC3 mutagenesis driving resistance) with immediate clinical applications (e.g., ctDNA dynamics predicting treatment response). Dr. Razavi maintains an extensive collaborative network centered at MSKCC, with Sarat Chandarlapaty (79 co-publications), Jorge Reis-Filho (67), and Michael Berger (45) representing his core team. He actively participates in international initiatives like the Buenos Aires Breast Cancer Symposium, demonstrating global leadership in translating genomic discoveries into clinical practice for metastatic breast cancer.
Lars Bernard is Full Professor for Geoinformatics at the Faculty of Environmental Sciences, Technische Universität Dresden since 2015. He also holds the position of Chief Digitalization and Information Management Officer (CDIO) at TU Dresden since 2020 and serves as member of the TUD Rectorate. PhD in Geoinformatics (University of Münster, 2001) Diploma in Physical Geography (University of Münster, 1995) His research focuses on (Geo-)Information Infrastructures , Distributed Geoprocessing , and Smart Environmental Monitoring . He has extensive experience in developing geospatial standards through roles in AGILE, EuroSDR, and INSPIRE initiatives. His publications demonstrate a consistent emphasis on: Metadata provision and data quality frameworks Interoperability solutions for geospatial systems Climate information service architectures User-driven provenance mechanisms As co-chair of RFII (2020-) and spokesperson for NFDI4Earth (2019-), he leads major German research data initiatives. He has advised numerous students and coordinated TU Dresden's Master Geoinformation Technologies program until 2018. Current leadership roles include serving on scientific editorial boards for Environmental Modelling & Software and International Journal of Spatial Data Infrastructures Research .
Marie-Dominique Van Damme is a Lecturer at the French National School of Geographic Sciences (ENSG), IGN's School of Geomatics, and is in charge of research and studies in the MEIG research team within the LASTIG research laboratory. She has been an IGN Teacher-Researcher at ENSG-Géomatique since August 2019, and from March 2025 will return to full research activities at LASTIG while continuing to teach programming with GIS, modeling, databases, and integration of heterogeneous data at ENSG. Dr. Van Damme earned her Computer Engineering degree with an information systems option from the National Conservatory of Arts and Crafts in 2010. Her professional experience includes: August 2019 – present: IGN Teacher-Researcher at ENSG-Géomatique May 2012 – July 2019: Research engineer at LASTIG, MEIG team May 2005 – April 2012: Project Manager at the National Forest Inventory June 2000 – April 2005: Web developer at Risc Group Her research focuses on semantic integration of heterogeneous geographic data, data matching, and the application of these techniques to mountain rescue scenarios. She has led and participated in several significant research projects including: CHOUCAS Project (ANR, 2017-2022): Multi-source semantic integration of landmark objects for mountain rescue LANDSENSE (H2020, 2016-2020): Crowd and community sourcing for land use monitoring UrCLIM (ERA4CS, 2017-2020): Retrieving land cover data for urban climate studies IntForOut (ANR, 2024-2027): Current project on trajectory analysis Dr. Van Damme has developed several software tools to support her research, including Tracklib (a Python library for GPS trajectory manipulation) and MultiCriteriaMatching (a Java library for multi-criteria data matching based on Belief Theory). Her recent publications show a strong focus on spatial data quality, landmark ontology development, mountain rescue applications, and the use of crowdsourced data for geographic information. The research trends indicate a progression from foundational work on data matching algorithms to applied research in emergency response scenarios, particularly mountain rescue operations. She has supervised numerous students including PhD candidate Mathieu Mehdi ZRHAL (defended 2023), research engineers, and multiple internship students working on geospatial projects related to mountain rescue, data integration, and GIS development. She has also led the pedagogical responsibility for the first-year master's degree in geomatics at Gustave Eiffel University from August 2019 to March 2025. Dr. Van Damme's work bridges theoretical research in geographic information science with practical applications in emergency response, demonstrating the real-world impact of geospatial technologies.
Dr. Deborah Bell-Pedersen is a Thomas University Professor and Associate Head of Biology at Texas A&M University (TAMU), renowned for her pioneering work in circadian clock mechanisms and their implications for human health. Her research focuses on how circadian oscillators regulate rhythmic gene expression in the model organism Neurospora crassa , with particular emphasis on mRNA transcription, translation, and links to cancer and aging. Key affiliations: Texas A&M University (1997–present) Leadership roles: Associate Editor of the Journal of Biological Rhythms , Board of Directors for the Society for Research on Biological Rhythms and Fungal Genetics Society Honors: University Professor title, Fellow of American Academy of Microbiology and AAAS, multiple research excellence awards Her work has revealed that the circadian clock controls translation fidelity via eIF2α activity and ribosome interactions, linking reduced clock function to aging. Articles highlight her expertise in MAPK signaling, glycogen metabolism regulation, and fungal stress response, with implications for human diseases like glioma and metabolic disorders. Scientific recognition includes TAMU Jo Ann Treat Award for Excellence in Research Eminent Scholar and Distinguished Research Awards Fellowships from AAAS and American Academy of Microbiology Dr. Bell-Pedersen mentors students in circadian biology and emphasizes independence in research, inspired by her PhD advisor Marlene Belfort. She also explores interdisciplinary connections between circadian rhythms and vaccination timing, cognitive performance, and physical balance. Outside academia, she is learning violin (in honor of her late father’s musical legacy) and cares for rescue animals including 4 cats, a dog, a horse, and 3 miniature donkeys.
Leluo Guan is a Professor in the Department of Applied Biology within the Faculty of Land and Food Systems at the University of British Columbia (UBC), holding the prestigious Canada Research Chair (Tier 1) in Animal Functional Genomics and Microbiome. Based in Vancouver's Food, Nutrition and Health building, he leads cutting-edge research at the intersection of animal science and microbiome biology. His academic foundation includes: 1985-1989: BSc in Biological Sciences, Wuhan University, PR China 1990-1993: MSc in Pharmaceutical Science, Kyoto University, Japan 1993-1996: PhD in Pharmaceutical Science, Kyoto University, Japan Dr. Guan's research program centers on host-microbiome interactions in food-producing animals, primarily cattle. He employs metagenomics, metatranscriptomics, metabolomics, and functional genomics to characterize bovine gut microbiomes, elucidate molecular mechanisms of host-microbe crosstalk, and investigate associations between microbial ecology and feed efficiency, methane emissions, and gut immunity. His work bridges microbial ecology with economically significant livestock traits through advanced omics integration. Analysis of his publication record reveals consistent emphasis on rumen microbiome dynamics across cattle production systems. Key trends include multi-omics approaches to link microbial communities with host physiology, investigation of early-life microbiome development, and exploration of host genetic influences on microbiome composition. His work increasingly focuses on functional characterization of microbial activities rather than mere taxonomic identification. His scientific recognition includes: Canada Research Chair (Tier 1) in Animal Functional Genomics and Microbiome Dr. Guan mentors graduate students in applied animal biology while directing a research program funded by the Canada Research Chairs initiative and competitive grants. His team develops innovative methodologies for microbiome analysis, contributing to sustainable livestock production through improved understanding of host-microbe symbiosis. Current work integrates host genomics with microbiome functional profiling to develop precision nutrition strategies for cattle.
Professor Albert CM Ong is Professor of Renal Medicine at the University of Sheffield's School of Medicine and Population Health, where he directs specialist services for autosomal dominant polycystic kidney disease (ADPKD) and other genetic kidney diseases at the Sheffield Kidney Institute. A globally recognized expert in ADPKD research, he serves as Co-Director of the MRC-NIHR UK Renal Ciliopathies National Network (CILIAREN) and previously contributed to the European Renal Association Council. Ong studied medicine at the University of Oxford and trained as a clinician-scientist at University College London and Oxford. His research has focused on the molecular basis of cyst formation, the genetic basis for disease variability, and drug discovery in ADPKD. The Ong lab investigates cyst initiation through studies of PKD1, PKD2, and related proteins within the polycystin network, while also examining non-coding RNAs and RNA metabolism in cyst expansion. His publication portfolio demonstrates consistent advancement in understanding ADPKD mechanisms and clinical management. Recent work emphasizes AI applications for kidney volume measurement, novel therapeutic targets including glucosylceramide synthase inhibitors, and international consensus on kidney disease management. His research bridges basic molecular mechanisms with clinical translation, employing human cellular models, model organisms, computational modeling, and analysis of deeply phenotyped clinical cohorts. Recipient of the ISN Lillian Jean Kaplan International Prize for contributions to ADPKD research Held senior research fellowships from Kidney Research UK and the Wellcome Trust Extensive involvement in international clinical guideline development Professor Ong continues to provide strategic leadership in the kidney field through his roles in major research networks and clinical consortia. His work has established the Sheffield Kidney Institute as a leading center for ADPKD research and specialized clinical care, with particular expertise in complex genetic kidney disorders and the development of novel therapeutic approaches.
Gábor Kata is a Lecturer at INALCO (National Institute of Oriental Languages and Civilizations) in Paris, France. He works within the Computer Science Multilingualism department, contributing to the ERTIM research team . His expertise spans Computational Semantics , Syntax-Semantics Interface , and Natural Language Processing (NLP) . CNU Discipline: 27 - Computer Science Areas of Expertise: Europe Teaching Themes: Lexical Semantics, Computational Semantics, Linguistics for NLP, NLP His research focuses on Computational Semantics and Syntax-Semantics Interface , with particular attention to NLP applications. His scholarly output reveals trends in semantic relation extraction , anomaly detection in text data , and knowledge base population using both supervised and unsupervised learning approaches. This work often employs graph-based methods and vector space analysis across multilingual contexts.
Boris Beranger is a Senior Lecturer in Statistics and Data Science at the School of Mathematics and Statistics, UNSW Sydney . He is also a member of the UNSW Data Science Hub (uDASH) and previously served as an Associate Investigator at the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) . His research spans theoretical and applied statistics, focusing on Extreme Value Theory (environmental, financial, and insurance applications) and Symbolic Data Analysis (complex/non-standard data structures). Education: PhD in Statistics (Université Pierre and Marie Curie & UNSW, 2016), MSc in Mathematics (Université Pierre and Marie Curie, 2011) Research Trends are evident in: High-dimensional extremal dependence modeling (ExtremalDep package) Spatial extremes and max-stable processes Symbolic/histogram/interval-valued data analysis Composite likelihood and aggregated data methods Tail density estimation via kernel methods Scientific Awards & Grants include: J.B. Douglas Award for Postgraduate Excellence (2014) Multiple ARC ACEMS Research Support Schemes Discovery Project DP220103269 ($405,000) for modeling real-world extremes Supervision covers PhD, Masters, and Honours students in areas like Symbolic Data Analysis, Spatial Extremes, and Statistical Computing. He also co-organized workshops and served as Vice-President (2025-26) of the Statistical Society of Australia's NSW Branch.
Dr. Jin Zhang is an Associate Professor of Radiation Oncology at Washington University School of Medicine, with affiliations to the Siteman Cancer Center, Institute of Clinical and Translational Sciences (ICTS), and multiple divisions within the Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS), including Biomedical Informatics and Data Science, Cancer Biology, and Computational and Systems Biology. PhD in Computer Science (University of Connecticut, 2012) MPHS in Population Health Sciences (Washington University, 2022) Prior postdoctoral work at McDonnell Genome Institute and Department of Medicine, Washington University His research develops deep learning/AI models and multi-omics approaches (genomics, proteomics, metabolomics, imaging) to advance translational cancer research at the intersection of genomics and radiation oncology. Recent work includes Nature studies on dietary fructose-induced tumor growth mechanisms, Patterns publications on GAN-based gene expression analysis, and Clinical Cancer Research papers on HPV+ cancer MRD detection. Scientific awards include NCI K22, ITCR R21, R37, and R01 grants totaling over $9.7 million in funding. His lab trains DBBS and MSTP rotation students, with alumni pursuing academic/research roles at institutions like University of Washington and Memorial Sloan Kettering Cancer Center.
Mohammed El-Kebir is an Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC) , with affiliate appointments in Electrical & Computer Engineering, the Institute of Genomic Biology, and the National Center for Supercomputing Applications. His research focuses on combinatorial optimization algorithms for fundamental challenges in cancer genomics and computational biology , particularly tumor phylogenetics , single-cell sequencing data analysis , and metastasis migration history modeling . PhD in Computer Science, Centrum Wiskunde & Informatica (Netherlands) and VU University Amsterdam (2015) Postdoctoral training at Brown University and Princeton University (2014-2017) El-Kebir's work addresses intra-tumor heterogeneity by developing mathematical models to reconstruct evolutionary trees of cancer mutations from mixed sequencing data. His lab has pioneered methods like SPhyR and MACHINA for phylogeny inference under data limitations, and PhyDOSE for optimizing single-cell sequencing experiments. His research bridges computational challenges with clinical implications for personalized medicine and therapy resistance prediction . Key contributions include: Theoretical foundations for cancer phylogenetic problems (hardness proofs, algorithm design) Single-cell sequencing algorithms accounting for data sparsity and errors Migration graph frameworks for metastasis analysis Interactive tools like ClonArch and CNAViz for tumor data visualization El-Kebir has received multiple accolades including the NSF CAREER Award (2021) and CRII Award (2019) . His group has produced 15+ peer-reviewed publications since 2020, with student collaborators securing prestigious fellowships like the NSF GRFP . He actively contributes to conference program committees (RECOMB, ISMB, WABI) and teaches graduate-level courses in Bioinformatics and Computational Cancer Genomics .
Sharad Ramanathan is the Llura and Gordon Gund Professor of Neurosciences and of Molecular and Cellular Biology at Harvard University, with a dual appointment as Professor of Applied Physics and of Stem Cell and Regenerative Biology in the John A Paulson School of Engineering and Applied Sciences. He serves as Principal Investigator of the Ramanathan Lab and is Co-Director of the Quantitative Biology Initiative. His research focuses on understanding how cells and organisms process environmental signals to make developmental decisions, particularly in the context of human development and stem cell morphogenesis. Ramanathan employs a multidisciplinary approach combining stem cell and molecular biology, genomics, bioengineering, and computational biology to investigate these fundamental biological processes. His lab recently achieved a groundbreaking discovery in controlling stem cell colony arrangements to reliably produce embryonic body plans, with 99% of colonies developing proper anterior-posterior axes. This work, which uses hexagonal arrangements of stem cell colonies, has been described as revolutionary for mimicking mammalian embryogenesis in vitro. Ramanathan's publications reveal a strong focus on developmental dynamics, with recent work emphasizing human organoid systems, stem cell differentiation, neural circuit mapping, and the computational analysis of cellular decision-making processes. His research bridges physics, engineering, and biology to tackle fundamental questions in developmental biology. As an educator, he teaches MCB198 Mathematical Techniques for Modern Biology and Applied Physics 286 / Physics 286 Inference, Information Theory, Learning and Statistical Mechanics, demonstrating his commitment to quantitative approaches in biological sciences. The Ramanathan Lab has made significant contributions to understanding stem cell differentiation, embryonic development, and neural circuit organization, with work that has important implications for regenerative medicine and understanding developmental disorders.
John Moran is a Professor in the Department of Human Genetics at the University of Michigan , focusing on genetic mutations , somatic mosaicism , and neurodevelopmental disorders . His work bridges molecular biology and neurogenetics , with key contributions to understanding schizophrenia origins in prenatal brain development. Key Collaborations : Icahn School of Medicine at Mount Sinai, Harvard Medical School, Boston Children's Hospital Research Themes : LINE-1 retrotransposons, Alu elements, somatic copy-number variants (sCNVs), and their role in disease etiology Research Focus : Dr. Moran’s research explores how non-inherited genetic mutations during embryonic development contribute to schizophrenia. He has pioneered methods like DeepMosaic for variant detection and analyzed single-cell genomic data to map mutation patterns in neurons. His work highlights NRXN1 and ABCB11 as disrupted genes in schizophrenia cases. Publication Trends : Recent articles emphasize somatic mosaicism in neuropsychiatric diseases , L1 retrotransposition in human cells, and genomic data resources for the Brain Somatic Mosaicism Network. Collaborations with institutions like Mass General Psychiatry and Physician's Weekly reflect interdisciplinary impact. Key Grants & Programs : Involved in the Allen Discovery Center and led projects like Comprehensive Genomic Datasets in BSMN . His team’s pandemic-era research on single-neuron genomes revealed non-random CNV patterns in neurotypical individuals. Labs & Teams : Leads a lab at the University of Michigan, collaborating with researchers such as Chris Walsh , Ryan Mills , and Edward Maury . His work intersects with the Brain Somatic Mosaicism Network , advancing tools for ultra-deep genome sequencing and mosaicism analysis .
