Find Academic Supervisors

• molecular basis of infectious diseases
• disease tracking within communities
• biomarker identification for adverse health events
• +7 more

Dr. Nicole Hansmeier is an Associate Professor in the Biology Department at Luther College, University of Regina. Her academic career spans multiple institutions and research areas with a consistent focus on understanding infectious disease mechanisms at the molecular level. Dr. Hansmeier's research interests center on the molecular basis of infectious diseases, with particular emphasis on host-pathogen interactions. She applies systems biological multi-Omics approaches and high-end imaging techniques to identify disease pathways and bacterial invasion mechanisms. A significant component of her work involves wastewater-based surveillance to detect and monitor infectious diseases within communities, providing crucial data for public health responses. Analysis of her publication record reveals a consistent focus on Salmonella pathogenesis, host-pathogen interactions, and proteomic methodologies. Her research spans fundamental bacterial physiology, molecular infection mechanisms, and applied public health surveillance techniques, demonstrating both depth in specialized areas and breadth across the infectious disease research spectrum. Dr. Hansmeier's research program is supported by multiple funding agencies including the Canadian Foundation for Innovation, Innovation Saskatchewan, Health Canada, SHRF, NSERC, and Mitacs, reflecting the significance and interdisciplinary nature of her work. She teaches a range of courses from introductory biology to specialized medical microbiology and provides research opportunities through independent study courses. Her laboratory employs advanced proteomic techniques to study pathogen-modified membranes, bacterial metabolism during infection, and host responses to pathogens. This work has important implications for understanding infectious disease mechanisms and developing new diagnostic and therapeutic approaches.

Jiří KopáčekView profile

Professor

• Biogeochemistry
• Environmental Science
• Nutrient Cycling
• +7 more

Professor Jiří Kopáček is a Senior Researcher at the Czech Academy of Sciences, Biology Centre, Institute of Hydrobiology in České Budějovice, Czech Republic. With over 237 publications and 10,003 citations, he is a leading expert in the biogeochemistry of mountain ecosystems, particularly focusing on the impacts of atmospheric deposition, acidification, and climate change on freshwater systems and their catchments. Dr. Kopáček's research primarily centers on mountain lakes and forests in Central Europe, with special emphasis on the Bohemian Forest (Šumava) and Tatra Mountains regions. His work examines nutrient cycling (particularly nitrogen and phosphorus), soil chemistry, and ecosystem recovery from atmospheric pollution. He has conducted extensive long-term monitoring studies of glacial lakes affected by acidification, providing valuable insights into the complex interactions between forest disturbances (such as bark beetle outbreaks), climate change, and aquatic ecosystem responses. His research has revealed important patterns in ecosystem recovery, including the return of native species like brown trout to previously acidified lakes, changes in organic nitrogen concentrations in mountain waters, and the identification of topographically shaded lakes as potential refugia for cold-adapted aquatic species facing climate change pressures. Recent work has also focused on using DNA metabarcoding techniques to assess biodiversity and employing stable isotope analysis to understand hydrological processes. Dr. Kopáček's scientific contributions have been recognized through numerous publications in high-impact journals, with his work cited extensively in the fields of limnology, biogeochemistry, and environmental science. His long-term datasets from Central European mountain ecosystems provide critical baseline information for understanding global environmental change. As a Senior Researcher at the Biology Centre's Institute of Hydrobiology, Dr. Kopáček leads research within Petr Porcal's Lab and collaborates with scientists across Europe and North America. His work continues to advance our understanding of how multiple stressors affect sensitive mountain ecosystems and how these systems respond to changing environmental conditions.

• Gut Microbiology
• Microbiome Research
• Bacterial Genomics
• +4 more

Professor Alan Walker is a microbiologist holding a Personal Chair at the Rowett Institute within the University of Aberdeen's School of Medicine, Medical Sciences and Nutrition. He serves as Postgraduate Research Coordinator for the Rowett Institute and is a member of the University of Aberdeen Foresterhill Biological Safety Committee. Dr. Walker is a microbiologist by training with specific research interests in the bacteria that inhabit the gastrointestinal tract of mammalian hosts. His work combines anaerobic microbiology with DNA sequencing technologies to examine interactions between host diet and the intestinal microbiota of humans and animals, and how these factors may contribute to host health. His research spans gut microbiology, microbial genomics, host-microbe interactions, and the role of intestinal bacteria in dietary fiber breakdown. His recent publications demonstrate a strong focus on gut microbiome research, particularly examining microbial load, contamination control in low-biomass studies, and the structural biology of microbial enzymes involved in carbohydrate metabolism. His work shows increasing interest in the methodological rigor required for microbiome research and the importance of classical microbiology in this interdisciplinary field. Scientific Awards: Clarivate (Web of Science) highly cited researcher (2019-2023) Outstanding Research Team award, Rowett Gut Microbiology Group, University of Aberdeen Excellence Awards (2023) Runner up, Nature/Yakult Global Grants for Gut Health Research Group Prize (2023) Professor Walker is actively engaged in the microbiome research community through social media and professional networks, advocating for rigorous methodology and interdisciplinary collaboration in microbiome science. He is a prominent voice in discussions about contamination control in low-biomass studies and the importance of incorporating classical microbiology principles into microbiome research.

Susan C SchwerinView profile

Academic

• Traumatic Brain Injury
• Neuroplasticity
• Neuroimaging
• +3 more

Susan C. Schwerin is a Research Assistant Professor in the Department of Anatomy, Physiology and Genetics at the Uniformed Services University of the Health Sciences School of Medicine in Bethesda, Maryland. With over a decade of experience at the institution, she has established herself as a specialist in traumatic brain injury research using gyrencephalic animal models. Her educational background includes: PhD in Neuroscience from Northwestern University Institute for Neuroscience (2005) Postdoctoral Fellowship in Neuroscience at the University of Florida (2006-2009) Postdoctoral Fellowship in Neuroscience at Uniformed Services University (2009-2013) BS in Biological Sciences from Michigan Technological University (1995) Dr. Schwerin's research primarily focuses on traumatic brain injury and neuroplasticity, with particular expertise in developing and utilizing ferret models for studying brain trauma. Her work bridges experimental neuroscience with clinical applications, investigating how brain injuries affect neural pathways and behavioral outcomes. She has made significant contributions to understanding the progression of histopathological and behavioral abnormalities following mild traumatic brain injury. Her publication record shows a consistent trajectory of high-impact research in neuroimaging techniques, particularly diffusion MRI and DTI, for detecting brain alterations following injury. Her work spans from basic methodology development (creating population-based MRI templates for ferret brains) to clinical applications (studying sleep disruption and motor recovery patterns). The research demonstrates a strong emphasis on translational neuroscience, with findings that have implications for human traumatic brain injury diagnosis and treatment. Dr. Schwerin's collaborative approach is evident in her extensive publication record, working with researchers across various disciplines including neuroimaging, neurophysiology, and rehabilitation science. Her work on ferret models has established this species as a valuable gyrencephalic model for studying traumatic brain injury, filling an important gap between rodent models and human studies.

Antonio FilieriView profile

Visiting Associate Professor

• Static analysis
• Privacy
• Automated test generation
• +5 more

Antonio Filieri is a Senior Applied Scientist at Amazon Web Services (AWS) and holds a Visiting Associate Professor position at the Department of Computing, Imperial College London. Previously, he was a tenured Associate Professor at Imperial College London (2022-2024) and Assistant Professor (2016-2022), and served as Assistant Professor at the University of Stuttgart between 2013 and 2015. His academic career spans over a decade with significant contributions to software engineering research. Dr. Filieri's research focuses on formal mathematical methods for software design, verification, self-adaptation, and security. His primary research areas include static analysis, privacy, and automated test generation for security; exact and approximate methods for probabilistic program analysis; control theory for adaptive software; quantitative verification and model checking; and runtime-efficient and incremental verification. His work bridges theoretical foundations with practical applications in industry settings, particularly in cloud computing and security domains. His recent publications demonstrate a strong focus on probabilistic methods for software analysis, security testing, and performance modeling. The research trends show increasing integration of formal methods with machine learning techniques, particularly in test oracle generation and neural network analysis. There's also a clear emphasis on scalability and practical applicability of verification techniques to real-world systems like serverless computing and microservices architectures. Dr. Filieri has received numerous prestigious awards for his contributions: Best Student Paper Award (2025) for 'Robust Probabilistic Model Checking with Continuous Reward Domains' ACM Distinguished Paper Award (2023) for 'Sibyl: Improving Software Engineering Tools with SMT Selection' Best Paper Award (2022) for 'Enhancing Performance Modeling of Serverless Functions via Static Analysis' Best Artifact Award (2017) for 'Self-adaptive video encoder: comparison of multiple adaptation strategies made simple' Most Influential Paper Award (awarded at SEAMS 2025) for 'Software Engineering Meets Control Theory' ACM SigSoft Distinguished Paper Award (2011) for 'Run-time Efficient Probabilistic Model Checking' Dr. Filieri has advised several PhD students including Donato Clun (2024), Runan Wang (2024), and Xiaotong Ji (expected 2025). His advising focuses on probabilistic program analysis, automated testing, and security verification. His research has been supported by significant grants from both academic and industry sources, enabling collaborations across multiple institutions and contributing to advancements in software engineering practices. While specific lab information isn't prominently featured in the provided materials, Dr. Filieri's work suggests strong connections with research groups focused on formal methods, software verification, and adaptive systems at both Imperial College London and AWS. His research often involves interdisciplinary collaboration between theoretical computer science and practical software engineering challenges.

• Bayesian Networks
• Probabilistic Graphical Models
• Machine Learning
• +5 more

Rafael Rumí Rodríguez is a Professor in the Mathematics Department at the University of Almería, Spain, with extensive experience in probabilistic modeling and data analysis. He leads the 'Análisis de datos' research group and serves as Principal Investigator for multiple research projects, including the current 'Hacia una Inteligencia Artificial Probabilística Confiable (TOPAI-UAL)' (2023-2026). Dr. Rumí Rodríguez's research focuses on Bayesian networks and probabilistic graphical models , with applications spanning environmental science, ecology, agriculture, and education. His work includes developing methods for continuous distributions in hybrid Bayesian networks, flood risk assessment in Mediterranean regions, climate change impact modeling for Andalusian agriculture, and educational assessment analytics. He has created practical tools like the 'hcrBN' R package for hybrid Bayesian network applications. His publication record includes 43 articles , 2 books or chapters , 3 theses , and 31 conference papers , with an h-index of 16 (Scopus) and 15 (Web of Science). Many publications appear in Q1 journals, reflecting significant research impact across computer science, environmental science, and statistics. Scopus h-index: 16 Web of Science h-index: 15 Scopus i10-index: 27 Web of Science i10-index: 23 Dr. Rumí Rodríguez has secured substantial research funding throughout his career, including as Principal Investigator for the current TOPAI-UAL project (€120,100) and previous projects like the European AMIDST initiative (€323,490). His research group provides opportunities for students to engage in both theoretical advances and practical applications of probabilistic modeling, with strong connections to environmental and agricultural domains in the Mediterranean region.

Ami WieselView profile

Professor

• Signal Processing
• Machine Learning
• Covariance Estimation
• +3 more

Ami Wiesel is a Professor at The Rachel and Selim Benin School of Computer Science and Engineering at The Hebrew University of Jerusalem. His research focuses on statistical signal processing, machine learning, and covariance estimation. Previously, he completed his postdoctoral studies at the University of Michigan with Professor Alfred Hero, earned his PhD in Electrical Engineering from Technion under Professors Yonina Eldar and Shlomo Shamai, and obtained his MSc and BSc in Electrical Engineering from Tel Aviv University. His research interests include robust covariance estimation , statistical learning , signal detection , and MIMO communications . Wiesel has made significant contributions to the field of structured covariance estimation, particularly in elliptical distributions and Tyler's estimator. His work bridges theoretical statistics with practical applications in radar systems, wireless communications, and hyperspectral imaging. Wiesel's publications show a clear trend toward integrating deep learning with traditional statistical signal processing methods. His recent work explores unbiased estimation using neural networks, fair principal component analysis, and deep learning applications for target detection with constant false alarm rate. His research spans theoretical foundations in covariance estimation to practical implementations in radar and communications systems. Among his notable scientific achievements are: Young Author Best Paper Award (2019) for 'Learning to Detect' Young Author Best Paper Award (2006) for 'Linear precoding via conic optimization for fixed MIMO receivers' Student Paper Award (2017) for 'Deep MIMO detection' Wiesel has advised numerous graduate students who have gone on to publish significant work in the field. His research has been supported by various grants focusing on statistical signal processing, machine learning applications, and radar systems. His monograph 'Structured Robust Covariance Estimation' (2015) has become a reference in the field. He maintains an active research group focusing on the intersection of statistical learning and signal processing, with applications in communications, radar, and medical imaging.

Robin Shields-CutlerView profile

Associate Professor

• Microbiology
• Biochemistry
• Gut Microbiome
• +5 more

Robin Shields-Cutler is an Associate Professor of Biology at Macalester College in St. Paul, MN, currently on sabbatical. His research focuses on the biochemical interface between diverse bacteria and their hosts (primarily humans), utilizing both computational and experimental approaches to investigate complex microbial interactions. Education: BA: Grinnell College (Biological Chemistry) PhD: Washington University in St. Louis (Molecular Microbiology & Microbial Pathogenesis) Postdoc: University of Minnesota (BioTechnology Institute, College of Biological Sciences) Shields-Cutler's research spans multiple areas of microbiome science, with particular emphasis on computational profiling of secondary metabolites in bacterial communities and primate microbial biodiversity. His work bridges wet lab experimental microbiology with dry lab computational analysis, using techniques ranging from culture work and mass spectrometry to advanced bioinformatics. He maintains active collaborations with the Como Zoo, Mayo Clinic, University of Minnesota Masonic Cancer Center, and multiple other institutions. His publication record reveals strong focus areas in gut microbiome dynamics related to transplantation medicine, host-microbe interactions in primates, and the development of computational tools for microbiome analysis. Several of his methods papers like SHOGUN and SplinectomeR have become important resources for the microbiome research community. Scientific Awards: Faculty of 1000 Prime Recommended for Chemical Biology Selected as JBC 'Paper of the Week' Cover feature for June 26, 2015 issue of Journal of Biological Chemistry Highlighted in Nature Reviews: Gastroenterology and Hepatology Shields-Cutler actively mentors undergraduate researchers at Macalester College, with numerous publications featuring undergraduate co-authors. His research program has secured funding through collaborative grants with major institutions including the Mayo Clinic, Como Zoo, and University of Minnesota. His work on the gut microbiome in hematopoietic cell transplantation patients has particular clinical significance. His laboratory features dedicated space for both computational and experimental work, reflecting his dual approach to microbiome research. He maintains active GitHub repositories for his computational tools and collaborates extensively through the Macalester College Biology Department and beyond.

Lili YuView profile

Professor

• Biostatistics
• Survival Analysis
• Categorical Data Analysis
• +5 more

Lili Yu is the Karl E. Peace Endowed Chair of Biostatistics and Professor in the Department of Biostatistics, Epidemiology & Environmental Health Sciences at Georgia Southern University, where she has been faculty since 2007. Her academic appointments include serving as Principal Investigator for the Office of International Chinese Statistical Association (2007-2017) and as Co-Principal Investigator for current research projects including 'Hierarchical Bayes Regression Models for Geospatial Inquiries' at Georgia Southern University. Dr. Yu's educational background is highly interdisciplinary, with degrees spanning medicine and statistics: PhD in Biostatistics from Ohio State University (2007) MS in Statistics from Ohio State University (2004) MS in Neuroscience from Capital Medical University (2001) MD in Clinical Medicine from Tianjin Medical University (1995) Her research interests focus on biostatistical methodology development and application, particularly in survival analysis, categorical data analysis, and multivariate data analysis. Dr. Yu has made significant contributions to accelerated failure time models, Bayesian statistics, and spatiotemporal modeling. Her work often addresses important public health questions related to disease modeling, mortality risk factors, and health outcomes assessment. Analysis of her publication trends shows a consistent trajectory from methodological development in survival analysis to applied studies addressing significant health issues. Dr. Yu has received recognition for her scholarly contributions, with an h-index of 11 according to Scopus data, and 1,876 citations across her publications. Her work has appeared in numerous high-impact journals across biostatistics, epidemiology, and public health disciplines. Her research funding includes multiple successful grant awards, demonstrating her ability to secure competitive research support. Notable projects include 'Hierarchical Bayes Regression Models for Geospatial Inquiries' (2022-2023), 'Efficient statistical methods in AFT model for cancer data' (2009-2010), and leadership of the Office of International Chinese Statistical Association (2007-2017). Dr. Yu's collaborative network is extensive, with co-authors from multiple institutions across the United States and internationally. Her work bridges methodological statistics with practical applications in public health and medicine, contributing to United Nations Sustainable Development Goals related to health and well-being.

• Intercellular Signaling
• Biomimetic Microenvironments
• Developmental Toxicology
• +6 more

Dr. Brian P. Johnson is an Assistant Professor at Michigan State University, jointly appointed in the Department of Pharmacology & Toxicology and the Department of Biomedical Engineering. His interdisciplinary research focuses on designing biomimetic microenvironments to study intercellular signaling in development and disease, particularly using 3D printing and CNC machining for high-throughput cancer models and endocrine disruption studies. Ph.D. in Molecular and Environmental Toxicology, University of Wisconsin Postdoctoral training in Biomedical Engineering, University of Wisconsin His work addresses: Chemical mixtures disrupting epithelial-mesenchymal signaling in orofacial development Mechanisms of cancer treatment resistance via multicellular models Computational modeling of thyroid homeostasis perturbations Translational strategies for precision disease treatment Articles highlight trends in microtissue engineering, computational endocrinology, and cancer-immune microenvironment interactions.

Stacy MalakerView profile

Assistant Professor

• Glycoproteomics
• Mass Spectrometry
• Mucin Biology
• +5 more

Dr. Stacy Malaker is an Assistant Professor in the Department of Chemistry at Yale University whose research focuses on developing innovative methods to study mucins - densely O-glycosylated extracellular proteins with important but poorly understood roles in numerous diseases. Dr. Malaker maintains multiple affiliations within Yale University: Department of Chemistry (Primary) Yale Cancer Center Cancer Immunology Program Plant Molecular Biology WHRY Pilot Project Program Investigators Yale Combined Program in the Biological and Biomedical Sciences (BBS) Her educational background includes a B.S. from the University of Michigan in Biochemistry and Anthropology-Zoology, a PhD in Chemistry from the University of Virginia under Professor Donald Hunt, and an NIH postdoctoral fellowship in Professor Carolyn Bertozzi's laboratory at Stanford University before joining Yale in 2021. Dr. Malaker's research centers on overcoming the technical challenges of studying mucins, which resist standard proteomic workflows due to their dense O-glycosylation. Her lab has developed three complementary approaches: characterizing mucin-digesting enzymes (mucinases), improving ionization techniques for hydrophilic glycopeptides, and creating specialized software for glycopeptide analysis. These methods enable the study of mucins in biological contexts related to cancer, cystic fibrosis, inflammatory bowel disease, and other conditions. Analysis of Dr. Malaker's recent publications reveals a strong focus on method development in glycoproteomics, with applications spanning biochemistry, analytical chemistry, and disease biology. Her work has appeared in high-impact journals including Cell, Journal of Biological Chemistry, and Molecular & Cellular Proteomics. Dr. Malaker has received significant recognition for her early-career contributions: Early Career Researcher Manuscript Competition Finalist (2021) Chemistry Biology Interface Division Horizon Prize from Royal Society for Chemistry (2021) Early Career Faculty Award from ASBMB (2021) Rising Stars in Proteomics and Metabolomics: 40 under 40 (2021) Her laboratory provides interdisciplinary training at the chemistry-biology interface, with opportunities for students to develop expertise in mass spectrometry, glycoproteomics, and protein biochemistry while addressing fundamental biological questions related to human health and disease.

• Acute Kidney Injury
• Biomarkers
• Nephritis, Interstitial
• +5 more

Dennis G Moledina is an Associate Professor of Medicine (Nephrology) at Yale School of Medicine with multiple leadership roles including Director of the Research Fellowship in Nephrology, Vice Chief for Research (Clinical and Translational) in Nephrology, and Director of the Kidney BioBank. His academic appointments span the Yale Cancer Center, Clinical and Translational Research Accelerator (CTRA), and Human and Translational Immunology Program. Dr. Moledina's research program focuses on acute kidney injury (AKI), particularly acute interstitial nephritis. He has developed expertise in biomarker discovery and validation, diagnostic model development using electronic health records, and understanding kidney complications of cancer immunotherapies. As Director of the Yale Kidney BioBank, he oversees a comprehensive biorepository with samples from over 1,400 participants with kidney biopsy-confirmed diagnoses collected since 2015. Analysis of Dr. Moledina's publication record from 2019-2025 reveals a consistent focus on urinary biomarkers for diagnosing and prognosing acute interstitial nephritis. His work integrates clinical informatics with traditional nephrology to develop practical diagnostic tools that can be implemented in electronic health records. Several recent studies examine the relationship between immune checkpoint inhibitors and kidney injury, reflecting his connection to the Yale Cancer Center and addressing an important clinical challenge in modern oncology. Fellow, National Kidney Foundation (2025) Top-rated abstract, National Kidney Foundation (2024) Fellow, American Society of Nephrology (2021) K23 Mentored Patient-Oriented Career Development Award, NIH/NIDDK (2018) KPMP Opportunity Pool Travel Grant, Kidney Precision Medicine Program (2018) Dr. Moledina maintains active NIH funding for developing diagnostic testing for acute kidney injury subtypes and serves as coinvestigator in major multicenter consortia including the Kidney Precision Medicine Program (KPMP) and Care of outpatients with acute kidney injury (COPE-AKI). His leadership in the Nephrology Research Fellowship Program trains the next generation of nephrology researchers, emphasizing translational approaches to kidney disease. The Yale Kidney BioBank under Dr. Moledina's direction represents a critical resource for kidney research, containing kidney tissue, DNA, plasma, and urine samples that have enabled significant advances in understanding acute interstitial nephritis. His collaborative network includes frequent co-authors such as F. Perry Wilson, Sherry Mansour, and Jeffrey Testani, reflecting strong interdisciplinary connections across nephrology, oncology, and clinical informatics.

Philippe MaesView profile

Lecturer

• Marine Biology
• Ornithology
• Marine Ecology
• +3 more

Philippe Maes is a Lecturer in Marine Biology at the University of South Brittany, specializing in innovative methods for marine biodiversity monitoring. His research career spans multiple institutions in Brittany, beginning at the University of Western Brittany in Brest where he studied bacterial pathologies in marine invertebrates, before moving to his current position. His research focuses on using cormorant pellets as a natural sampling method to study coastal fish biodiversity. By analyzing the otoliths (ear stones) found in these pellets, Maes can identify fish species, determine their sizes, and track population dynamics throughout the year without expensive boat-based surveys. His work reveals important seasonal patterns in fish populations, such as the three-spined stickleback's winter abundance due to male protective behavior during egg guarding, and the common goby's spring-summer reproductive cycle. This long-term monitoring provides crucial baseline data for understanding coastal ecosystem changes in the context of global environmental shifts. His notable scientific contribution includes receiving research funding from the Marine Protected Areas Agency for his work on cormorant-based biodiversity monitoring. His recent 2024 publication demonstrates how this method provides continuous, cost-effective ecosystem monitoring that would be prohibitively expensive using traditional research vessels. Maes collaborates extensively with the National Nature Reserve of Séné Marshes and the Brittany Living Association, integrating academic research with practical conservation efforts in coastal ecosystems.

Mamta Chawla SarkarView profile

Professor

• Virology
• Molecular Epidemiology
• Host-Pathogen Interactions
• +5 more

Dr. Mamta Chawla Sarkar serves as Scientist G at the National Institute of Cholera and Enteric Diseases (NICED), Kolkata, leading virology research under the Indian Council of Medical Research. Her work bridges fundamental molecular studies and public health implementation through NICED's WHO Collaborating Centre designation and national surveillance networks for rotavirus and influenza. Her research expertise spans: Molecular epidemiology of enteric/respiratory viruses Host-pathogen interactomics using proteomics and RNA-seq Development of low-cost diagnostic assays Host-targeted antiviral therapeutics Recent publications reveal a strategic pivot toward lncRNA-mediated mechanisms in viral pathogenesis, with 8 of 15 recent papers exploring non-coding RNA roles in rotavirus and SARS-CoV-2 infection. The work demonstrates sophisticated integration of clinical samples from NICED's hospital collaborations with advanced OMICS platforms to identify druggable host pathways. Her scientific recognition includes: Fellowship of Indian National Science Academy (2020) DBT National Women Bioscientist Award (2013) ICMR Kanishka Oration Award (2017) Fellowships from NASI and West Bengal Academy of Science Mentorship and funding reflect sustained excellence: 21 PhD students trained (15 awarded), continuous project funding since 2006 including ICMR's Centre for Product Development (2019-2024) and DST-SERB grants. During pandemics, her lab provided critical diagnostic support while advancing mechanistic studies - exemplifying translational research impact. The laboratory operates within NICED's BSL-3 facility as part of the Virology Division, coordinating eastern India's viral disease surveillance through 12+ network laboratories. Current work focuses on lncRNA-mediated ferroptosis in rotavirus infection and HDAC6 modulation in SARS-CoV-2 replication.

• Clinical Trials Methodology
• Bayesian Statistics
• Rare Diseases Research
• +3 more

Dr. Giulia Risca is a researcher in the Department of Medicine and Surgery at the University of Milano-Bicocca, School of Medicine and Surgery. She recently completed her doctoral thesis on Bayesian methods for basket trials in rare diseases under the supervision of Professor Stefania Galimberti. Her research spans multiple domains including clinical trial methodology, hematology/oncology, and proteomics. Dr. Risca's research interests focus on developing innovative clinical trial designs for rare diseases, with particular expertise in Bayesian statistics and basket trial methodology. Her work addresses critical challenges in rare disease research where limited patient populations make traditional trial designs impractical. She has made significant contributions to understanding how information can be borrowed across sub-trials while maintaining appropriate statistical properties. Additionally, she conducts important translational research in CAR-T cell therapy for leukemia and develops diagnostic algorithms for iron metabolism disorders. Analysis of Dr. Risca's publication record reveals a strong focus on methodological innovation in clinical trials combined with impactful clinical applications. Her work demonstrates expertise in bridging statistical theory with practical clinical research needs, particularly in areas with limited patient populations. The publications span multiple disciplines but maintain a cohesive thread of methodological rigor applied to challenging clinical problems. Dr. Risca actively collaborates with clinical researchers across multiple medical specialties, contributing her statistical expertise to studies in hematology, oncology, nephrology, and ophthalmology. Her work on CARCIK-CD19 cell therapy, rare disease trial design, and diagnostic algorithms for iron overload represents significant contributions to their respective fields. She participates in multicenter studies across European institutions, demonstrating her integration into the broader research community. Dr. Risca leads research activities in biostatistics and clinical trial methodology, supervising analytical components of multiple clinical studies. Her work often involves developing and implementing sophisticated statistical approaches to address complex research questions where traditional methods are inadequate, particularly in the context of rare diseases with small sample sizes.