Find Academic Supervisors

• Biosensors
• Optical Spectroscopy
• Plasmonic Nanostructures
• +6 more

Chiara Novara is an Associate Professor at the Polytechnic University of Turin, Department of Applied Science and Technology (DISAT). She is actively involved in research on biosensors, optical spectroscopy, plasmonic nanostructures, and surface-enhanced Raman spectroscopy (SERS), with a focus on biomedical and agro-food applications. Member of the Doctoral Colleges for Materials Science and Technology (2019–2025) Invited member of the College of Architecture and Design Course collaborator for Applied Spectroscopic Methods (2019–2025) Lecturer for Chemistry and Chemical Sustainability of Processes and Materials in aerospace and management engineering. Her research spans catalysis, nanomaterials, and environmental chemistry, particularly in CO oxidation, methane pyrolysis, and SERS-based biosensing. Recent projects include the DESPITE FRAUD initiative for portable food fraud detection. She supervises PhD student Ettore Grimaldi, who investigates metal-dielectric nanostructures for SERS applications. Key publications address catalytic materials for air pollutants, miRNA detection systems, and CO2 conversion. She contributes to interdisciplinary collaborations and holds a national patent for a microfluidic-optofluidic SERS sensor . Her work integrates chemistry, engineering, and sustainability.

• Nucleic Acid Therapeutics
• RNA Interference
• Antisense Oligonucleotides
• +3 more

David R. Corey is a Professor in the Department of Pharmacology at the University of Texas Southwestern Medical Center's School of Medicine, holding a secondary appointment in the Department of Biochemistry. He has been a faculty member since 1992, progressing from Assistant Professor to Associate Professor in 1998 and Full Professor in 2003. His educational background includes: BA in Chemistry from Harvard University (1985) PhD in Chemistry from University of California at Berkeley (1990) Postdoctoral training with Dr. Charles Craik at University of California at San Francisco (1990-1992) Dr. Corey's research focuses on nucleic acid therapeutics , particularly antisense oligonucleotides and RNA interference technologies. His laboratory investigates how synthetic nucleic acids can target disease-causing RNA molecules, with significant work on trinucleotide repeat disorders including spinal muscular atrophy, Duchenne muscular dystrophy, and Fuchs' endothelial corneal dystrophy. His research bridges fundamental molecular mechanisms with therapeutic applications, exploring nuclear RNA interference pathways and novel delivery strategies. Analysis of his publication trends shows consistent innovation in RNA-targeting therapeutics, with recent work emphasizing nuclear aspects of gene regulation and overcoming challenges in allele-selective inhibition. His contributions have directly informed multiple FDA-approved oligonucleotide therapies. Dr. Corey has established himself as a leader in translating basic RNA research into clinical applications, with his work appearing in top journals including Nature, Cell, and Nucleic Acids Research. His research program continues to advance the frontier of nucleic acid-based treatments for genetic disorders.

• MicroRNA
• Cancer Biology
• Tumor Metabolism
• +3 more

Francesca ORSO is an Associate Professor at the Department of Translational Medicine , Universita' degli Studi del Piemonte Orientale 'Amedeo Avogadro'. Her research focuses on MicroRNA mechanisms in cancer progression, particularly in Melanoma , Breast Cancer , and Chronic Myeloid Leukemia . She explores how miRNAs regulate Tumor Metabolism , Metastasis , and Drug Resistance , with a strong emphasis on mTORC2 , Angiogenesis , and Tumor Microenvironment interactions. Key Research Areas : MicroRNA, Cancer Biology, Tumor Metabolism, Molecular Biology, Medical Biotechnology, Genetics Recent Trends : Her 2024 publications highlight miR-15a in Leukemia , RICTOR/mTORC2 in Melanoma Resistance , and miR-214 in Lung Cancer Metabolism . Earlier studies (2023-2008) address 3D Culture Systems , AXL-miRNA Sponges , and Transcription Factor Networks in tumor dissemination. Awards : Premio Chiara D'Onofrio Giovani Riercatori (2009)

Michael RosbashView profile

Professor

• Circadian Rhythms
• Gene Expression Regulation
• Neuroscience
• +3 more

Michael Rosbash is a Professor of Biology, the Peter Gruber Endowed Chair in Neuroscience, and an Investigator at the Howard Hughes Medical Institute (HHMI) at Brandeis University. His research focuses on circadian rhythms, gene expression regulation, and RNA processing in Drosophila and mammalian systems. Education : B.S. in Chemistry, California Institute of Technology Ph.D. in Biophysics, Massachusetts Institute of Technology Rosbash’s work has elucidated the molecular basis of circadian clocks, including the discovery of transcriptional feedback loops involving PER and CLK proteins. His lab employs advanced techniques like ChIP-seq and TRIBE to study clock gene targets, neuronal circuitry, and post-transcriptional regulation, including miRNA dynamics and splicing mechanisms. Scientific Awards : 2017 Nobel Prize in Physiology or Medicine 2013 Wiley Prize in Biomedical Sciences 2012 Canada Gairdner International Award 2011 Louisa Gross Horwitz Prize 2009 Gruber Neuroscience Prize His research has also expanded to sleep regulation, neuronal activity, and neurodegenerative disease models, with recent projects exploring light adaptation, miRNA turnover, and circadian neuron-specific transcriptomics. The lab continues to bridge molecular mechanisms with physiological outcomes in circadian biology.

• Bioinformatics
• Genomics
• Machine Learning
• +2 more

Professor Jinyan Li is an Adjunct Professor at the University of Technology Sydney's Data Science Institute, where he leads the Bioinformatics Program. His research develops computational methods for genomic analysis, protein interaction prediction, and biomedical data mining. Educational background: PhD in Computer Science (University of Melbourne) M.Eng in Computer Engineering (Hebei University of Technology) B.Sc in Applied Mathematics (National University of Defense Technology) Research spans: Genomic error correction algorithms Protein binding prediction Single-cell multi-omics analysis CRISPR design optimization Machine learning in bioinformatics With 140+ journal publications and 100+ conference papers, his work appears in leading venues including Bioinformatics, Nucleic Acids Research, and IEEE TKDE.

Gianvito PioView profile

Associate Professor

• Data Mining
• Bioinformatics
• Social Network Analysis
• +3 more

Gianvito Pio is an Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. His research spans data mining, bioinformatics, social network analysis, multi-relational data mining, and big data analytics. He holds a PhD in Computer Science from the University of Bari (2015) and has taught courses such as Big Data Management and Analysis and Security in Blockchain Technology . As an expert in heterogeneous network analysis, he develops methods for anomaly detection in cryptocurrency trends, microbiome data interpretation, and legal judgment clustering. He leads the local research unit of the PRIN 2022 project COCOWEARS and contributes to journals like the Machine Learning Journal and Expert Systems with Applications as an associate editor. His recent work includes multi-view learning for risk identification in dynamic networks, spatially-aware models for energy forecasting, and biclustering algorithms for biological data. Collaborations with researchers such as Michelangelo Ceci and Antonio Pellicani highlight his interdisciplinary approach. Gianvito Pio also organizes academic events like the Discovery Science conference and contributes to open-source software tools including HOCCLUS2 and GENERE .

Mustafa ÖzuysalView profile

Assistant Professor

• Computer Vision
• Object Detection
• Object Tracking
• +5 more

Mustafa Özuysal is an Assistant Professor in the Department of Computer Engineering at the College of Engineering, Izmir Institute of Technology (İYTE), where he leads the Visual Intelligence Research Group. His research focuses on computer vision, including object detection, tracking-by-detection, and real-time scene text recognition, with applications on mobile devices. Research Interests: Large-scale object detection Object detection and tracking on mobile platforms Real-time scene text recognition Feature learning from image and video sequences Augmented reality and camera egomotion estimation His scholarly work includes influential publications in IEEE TPAMI, IET Computer Vision, and top-tier conferences such as CVPR and ECCV, particularly in local feature descriptors like BRIEF and keypoint recognition using random ferns. His research emphasizes efficient, real-time algorithms suitable for embedded and mobile systems. Scientific Contributions: Co-developer of the BRIEF descriptor, widely used in computer vision for fast binary feature matching. Contributor to tracking-by-detection frameworks and homography estimation methods robust to occlusions and viewpoint changes. Dr. Özuysal has taught a range of undergraduate and graduate courses, including Introduction to Image Understanding, Vision-Based Tracking and Modeling, Data Structures, and Mobile Application Development. He advises the Visual Intelligence Research Group and continues to advance research in scalable and efficient vision systems.

Analisa DiFeoView profile

Associate Professor

• Ovarian Cancer
• miRNA Regulation
• Cancer Biology
• +5 more

Analisa DiFeo, Ph.D., serves as Associate Professor in the Department of Pathology and Obstetrics and Gynecology at the University of Michigan Medical School. Her research program, based at Michigan Medicine, focuses on molecular mechanisms of ovarian cancer development and progression through interdisciplinary collaboration within the university's extensive research ecosystem. Dr. DiFeo's laboratory investigates microRNA regulation and gene expression in ovarian tumor biology using integrated in vitro and in vivo approaches. Her research spans molecular oncology, cancer signaling pathways, and tumor microenvironment interactions, with particular emphasis on PP2A signaling, miR-181a function, and mechanisms of platinum resistance in high-grade serous ovarian carcinoma. Her team develops patient-derived models and mouse systems to dissect oncogenic processes and identify therapeutic vulnerabilities. Analysis of her 15 most recent publications (2024-2025) reveals consistent focus on gynecologic cancers, especially ovarian and uterine malignancies. Key research themes include PP2A tumor suppressor reactivation, miRNA-driven oncogenesis, tumor microenvironment dynamics, and development of novel therapeutic strategies targeting molecular dependencies in treatment-resistant disease. Her work bridges basic molecular mechanisms with translational applications. Dr. DiFeo actively mentors students in her laboratory, emphasizing hands-on training in molecular biology techniques, cancer genetics, and mouse modeling. She encourages passionate students to seek research opportunities through direct inquiry, providing comprehensive training in wet lab methodologies, tissue culture, and development of patient-derived cancer models. Her lab fosters collaborative problem-solving for complex oncology challenges. The DiFeo Laboratory operates within the Center for RNA Biomedicine at the University of Michigan, leveraging institutional resources for RNA-focused cancer research. Her team collaborates across disciplines to investigate microRNA functions in tumor initiation, progression, and therapeutic resistance, utilizing advanced models including tumoroids and genetically engineered systems to mimic clinical disease phenotypes.

Alireza AhadiView profile

Part-Time Lecturer

• Data Science
• Machine Learning
• Educational Data Mining
• +9 more

Dr Alireza Ahadi is a PartTime Lecturer at the Faculty of Engineering & Information Technology , University of Technology Sydney. He holds a PhD in Data Analytics from UTS (2018) and has previously worked as a postdoctoral researcher at Macquarie University (2019-2022) focusing on skills analytics and educational data mining. Education: PhD in Data Analytics (UTS, 2018), Master of Information Technology Extended (UTS, 2013), Bachelor in Computer Science (UTS, 2010). Current Role: Teaching IT and Science subjects at UTS with expertise in databases, programming languages, and data science. Research Interests center on data-driven educational solutions , including text mining in education, skills gap analysis between academia and job markets, code comprehension studies, and miRNA regulation in cancer research. His work integrates machine learning with curriculum analytics to improve educational outcomes and workforce alignment. Recent publications (15 most) reveal trends in applying NLP to educational data, eye-tracking analysis for programming behavior, and skills analytics engines for curriculum-job market mapping. His 2022 article on skills gap identification using Burning Glass data highlights his focus on real-world educational impact. Teaching Experience includes coordination and lecturing in core subjects like Database Fundamentals, Programming Languages, and Data Structures at UTS. He also explores educational data mining , optimization of analytics engines , and recommendation system design in pedagogical contexts.

Jey KoehlerView profile

Professor

• Veterinary Pathology
• Comparative Oncology
• Neuropathology
• +5 more

Jey Koehler , DVM, PhD, DACVP, is a Professor and Tyler & Frances Young Endowed Professor in Pathology at the Department of Pathobiology , College of Veterinary Medicine , Auburn University . She serves as Section Chief for Surgical Pathology Service and Faculty Supervisor of the Core Histopathology Laboratory.

Veronica BigaView profile

Research Fellow

• Stem Cell Biology
• Computational Biology
• Image and Data Analysis
• +3 more

Veronica Biga is a Research Fellow at the Division of Developmental Biology & Medicine at the University of Sheffield. Her work focuses on understanding developmental mechanisms through quantitative analysis of stem cell cultures, signaling pathways, and gene regulatory networks. She holds a BEng and a PhD in Automated Image Analysis and Quantitative Modelling of Stem Cell Cultures from the University of Sheffield, awarded in 2011. Prior to her current role, she was a Research Associate at the same institution from 2011 to 2015. Her research interests include Notch signaling pathways, neurogenesis, transcription factor dynamics, and computational modeling of cellular processes. She employs advanced image analysis techniques and computational biology to study stem cell behavior, particularly in spinal cord and pancreatic development. Her work contributes to UN Sustainable Development Goals related to advancing health and well-being through biomedical research. Biga has published extensively on topics such as cellular protrusion dynamics, HES protein oscillations, and miRNA regulation in neurogenesis. She collaborates internationally and has been featured in media for her research on human embryonic stem cells and stem cell imaging. Her studies highlight the importance of quantitative approaches in deciphering developmental processes and their phenotypic robustness.

James W. SchneiderView profile

Professor

• Biomaterials
• Medical Devices
• Bionanotechnology
• +6 more

Dr. James W. Schneider is a Professor of Chemical Engineering and Courtesy Faculty in Biomedical Engineering at Carnegie Mellon University. He holds a B.S. in Chemical Engineering from the University of Wisconsin (1992) and a Ph.D. from the University of Minnesota (1998), followed by postdoctoral research at the Naval Research Laboratory. His research focuses on self-assembly principles in biomaterials, particularly amphiphilic molecules for applications in DNA/RNA detection, medical device development, and biomanufacturing process monitoring. Key contributions include micelle-based DNA electrophoresis and PNA amphiphile technologies for nucleic acid quantitation. Research interests span bionanotechnology, medical devices, and biomaterials with emphasis on programmable materials for diagnostic tools. Notable awards include the NSF CAREER Award (2001) and Beckman Young Investigator Award (2002), and he is a Fellow of the American Institute for Medical and Biological Engineering (2014). Current work includes collaborations with the Center for Nucleic Acids Science and Technology (CNAST) on PNA-based viral contaminant detection systems and surfactant studies in nonpolar liquids. His lab develops bioinspired materials for applications in biomanufacturing, drug delivery, and rapid diagnostic technologies.

Julie A. SaugstadView profile

Researcher

• Cell/Molecular Neurobiology
• Signal Transduction
• MicroRNA
• +3 more

Dr. Julie A. Saugstad is a researcher specializing in Cell/Molecular Neurobiology, focusing on Alzheimer's Disease, Neuroprotection, and the role of MicroRNA and Extracellular Vesicles in neurological processes. She holds a Ph.D. from the University of Oklahoma Health Sciences Center (1991) and completed her postdoctoral fellowship at the Vollum Institute (1991-1996). Dr. Saugstad is actively involved in collaborative research, contributing to advancements in understanding neurodegenerative diseases and extracellular vesicle biology. Education: Ph.D., 1991, University of Oklahoma Health Sciences Center Postdoctoral Fellow, Vollum Institute, 1991-1996 Research Interests: Dr. Saugstad’s work centers on Cell/Molecular Neurobiology , with a focus on Signal Transduction , MicroRNA , and Extracellular Vesicles . Her research explores their roles in Alzheimer’s Disease and strategies for Neuroprotection . Her studies often address sex-specific differences in neurodegenerative processes and the application of biomarkers in clinical diagnostics. Publications Overview: Dr. Saugstad’s recent work includes studies on Alzheimer’s biomarkers, the impact of prenatal THC exposure on neurodevelopment, and the standardization of extracellular vesicle research methodologies. Her contributions span interdisciplinary collaborations, emphasizing reproducibility and translational applications. Awards & Honors: None explicitly mentioned in the provided information. Advising & Grants: While specific grants or student advisement details are not listed, her extensive co-authorship network suggests active participation in collaborative research projects, likely involving grant-funded initiatives. Labs & Collaborations: Engaged with the International Society for Extracellular Vesicles. Her work often involves interdisciplinary teams, as reflected in co-authorships with institutions such as Oregon Health & Science University and the University of Miami.

Simon MoxonView profile

Associate Professor

• Bioinformatics
• Gene Regulation
• Next-Generation Sequencing
• +3 more

Simon Moxon is an Associate Professor in Bioinformatics at the University of East Anglia (UEA), part of the School of Biological Sciences. His research focuses on applying next-generation sequencing (NGS) technologies to study biological problems, particularly small RNA bioinformatics and mechanisms of gene regulation at transcriptional and post-transcriptional levels. He has developed tools like miRCat2 and the UEA sRNA Workbench for miRNA detection and analysis. Notable collaborations include projects funded by the British Heart Foundation, NIH, and the Natural Environment Research Council, exploring topics such as chromatin landscapes, microRNA biogenesis, and epigenetic reprogramming. His work spans plant genomics, developmental biology, and molecular mechanisms in diseases like cancer. Recent publications highlight advancements in understanding miRNA regulation in plants and animals, epigenetic marks during zygotic reprogramming, and antimicrobial resistance in Bacillus species. Moxon actively mentors PhD students and contributes to editorial roles in journals like Frontiers in Molecular Biosciences.

• Microbiology
• Neurosurgery
• Oncology
• +5 more

Joseph N Paulson is an Adjunct Assistant Professor in the Department of Neurosurgery at the Yale School of Medicine. He holds a PhD in Applied Mathematics, Statistics, and Scientific Computation from the University of Maryland, College Park (2015). His research focuses on integrating computational methods with clinical and microbial genomic studies to address complex medical challenges. Key areas of investigation include microbial pathogenesis (e.g., Paenibacillus infections in pediatric hydrocephalus), cancer genomics (e.g., lymphoma prognosis and treatment response), and the development of bioinformatics tools for microbiome and transcriptomic analysis. Dr. Paulson’s work bridges disciplines such as computational biology, infectious diseases, and oncology. He leads collaborative projects analyzing microbial communities in clinical settings, including vaginal microbiome dynamics and bacterial virulence mechanisms. His computational tools, like mbQTL and the Network Zoo package, enable advanced microbiome QTL analysis and gene regulatory network modeling. He also contributes to clinical trials evaluating targeted therapies in breast and blood cancers, leveraging genomic signatures for personalized treatment strategies. Notable contributions include identifying Paenibacillus as a novel pathogen in Ugandan infants with post-infectious hydrocephalus and developing prognostic models for diffuse large B-cell lymphoma using imaging and genomic data. His research emphasizes global health applications, particularly in pediatric neurosurgery and infectious disease epidemiology.