جست‌وجوی استاد و پژوهشگر

• Pharmacology
• Chemotherapy
• Cytofluorimetry
• +۳ مورد دیگر

Sabrina Pacor is an Associate Professor in Applied Biology (BIO/13) at the University of Trieste , where she teaches Pharmacology in the Pharmacy LM and STB BSc programs. With over 30 years of research experience in experimental oncology and host defense peptides, she has made significant contributions to studying antimicrobial peptides (AMPs) and their interactions with bacterial membranes. Her research focuses on: Direct antimicrobial activity of AMPs against Gram-positive and Gram-negative bacteria Indirect immunomodulatory effects of host defense peptides Development of drug delivery systems using nanomaterials (carbon nanotubes, gold nanoparticles) Mechanistic studies of ruthenium-based antimetastatic drugs She leads extensive cytofluorimetry research using flow cytometry platforms, particularly for evaluating: Cytotoxicity (necrosis/apoptosis, proliferation index) Modulation of host biological responses (chemotaxis, phagocytosis, ROS production) Peptide-bacterial membrane interactions through fluorescent labeling Her recent work demonstrates trends in: Proline-rich antimicrobial peptides against ESKAPE pathogens Hybrid antibiotic design (peptide-aminoglycoside conjugates) Structure-activity relationships in membranolytic peptides Evolutionary insights into defensin and cathelicidin families Prof. Pacor has co-authored over 100 peer-reviewed publications and actively mentors students, having supervised: 70 experimental/thesis reviews for Pharmacy/CTF Master's students 20 Bachelor's degree theses

Seba Contrerasمشاهده پروفایل

پژوهشگر

• Complex Systems
• Dynamical Systems
• Infectious Diseases
• +۱ مورد دیگر

Seba Contreras is a Postdoctoral Researcher in the Physics of Disease Spread at the Max Planck Institute for Dynamics and Self-Organization . His work bridges mathematical modelling , dynamical systems , and infectious disease epidemiology to uncover principles in outbreak controllability and disease dynamics. Dr. rer. nat. (Physics of Biological and Complex Systems, 2023) - Georg-August-Universität Göttingen MSc (Extractive Metallurgy, 2019) - Universidad de Chile BEng & Dipl.-Eng. (Civil Engineering, 2017) - Universidad de Chile His research integrates complex systems and infectious diseases with a focus on: Non-pharmaceutical interventions during pandemics Competition and co-infection dynamics between diseases Information-disease feedback loops Statistical methods for epidemiological data correction Parameter inference from limited medical datasets Machine learning applications in protein engineering Recent publications demonstrate expertise in machine learning for biological datasets, epidemic models with heterogeneous populations, and data-driven public health policy . Collaborations span human genetics , theoretical ecology , protein engineering , and social sciences across institutions in Chile and Germany.

• hearing loss
• vestibular dysfunction
• brain disorders
• +۷ مورد دیگر

Dr. Saima Riazuddin is a Professor at the University of Maryland School of Medicine, with joint appointments in Otorhinolaryngology-Head & Neck Surgery and Biochemistry & Molecular Biology. Her research focuses on the molecular genetics of inherited disorders, particularly hearing loss, vestibular dysfunction, intellectual disability, and Usher syndrome, utilizing human genetics, mouse models, and zebrafish models to identify disease-causing genes and elucidate their functional mechanisms. PhD in Molecular Genetics (University of Punjab, Pakistan) MPH in Leadership Management & Policy (University of Cincinnati) MBA in Business Administration (University of Cincinnati) Her lab investigates the genetic factors determining hearing sensitivity, pathogenic mutations affecting ear/eye structure, and molecular mechanisms of auditory/vision functions. Publications in Nature Genetics , Cell , and Molecular Psychiatry highlight discoveries in genes like TRIOBP , CIB2 , and ELMOD3 linked to deafness syndromes. Scientific accolades include the Medal of Honor from Pakistan's President. Research spans linkage analysis, functional gene characterization, and therapeutic design for genetic hearing/visual impairments.

Peng Liuمشاهده پروفایل

استاد

• Statistical Modeling for Microbiome Data
• RNA-sequencing Analysis
• Differential Expression Analysis
• +۳ مورد دیگر

Peng Liu is a Professor at Iowa State University, specializing in statistical modeling and computational methods for microbiome and RNA-sequencing data analysis. His work spans plant genomics, stress response studies, and bioinformatics tool development. Developed software tools like C-REx and RiboZIP for genomic data analysis Key research areas: microbiome dynamics, differential translation, plant-pathogen interactions Collaborates with agricultural scientists to address drought tolerance and nutrient stress in crops His recent publications focus on advanced statistical approaches (e.g., hurdle Poisson models, variational inference) applied to multi-omics studies in sorghum and maize systems. He has contributed to understanding gene expression heterosis, ER stress responses, and microbiome impacts on plant resilience through peer-reviewed studies in journals like Bioinformatics, ISME J, and BMC Genomics.

Jing Yangمشاهده پروفایل

استادیار

• Biostatistics
• Computational Biology
• Genomics
• +۶ مورد دیگر

Jing Yang is an Assistant Professor of Biostatistics at Vanderbilt University Medical Center. With a PhD in Molecular Biology and Biochemistry from East China University of Science and Technology & Shanghai Institutes for Biological Sciences of Chinese Academy of Sciences, Yang specializes in computational genomics, immunogenomics, and pharmacogenetics. Education: PhD in Molecular Biology and Biochemistry Research interests include: Genomic determinants of immunotherapy response Pharmacogenetic mechanisms in infectious diseases Dysfunctional regulatory networks in cancer and autoimmune diseases Development of bioinformatics tools for disease similarity and gene coexpression analysis Recent publications span topics such as tumor-immune feedback loops, pharmacogenomics of tuberculosis treatment, and computational modeling of disease networks. Yang's work integrates biostatistical methods with multi-omics data to address complex biological questions. Email: jing.yang@vumc.org

Ulisses Nunes da Rochaمشاهده پروفایل

پژوهشگر

• Environmental Microbiology
• Microbial Ecology
• Bioinformatics
• +۸ مورد دیگر

Dr. Ulisses Nunes da Rocha is a Junior Group Leader at the Helmholtz Centre for Environmental Research (UFZ) in Germany, specializing in Environmental Microbiology and Computational Biology . He holds a guest professorship at the Institute of Mathematics and Computer Sciences (ICMC), University of Sao Paulo , Brazil, since 2019. PhD in Microbial Ecology (2010), University of Groningen MSc in Agricultural Microbiology (2005), Federal University of Viçosa BSc in Life Sciences (2002), Federal University of Rio de Janeiro His research focuses on microbial community dynamics in diverse ecosystems, integrating machine learning and multi-omics data to model community function prediction. Key collaborations include institutions in Brazil, Portugal, and the Netherlands, with special emphasis on human microbiome dysbiosis and marine microbial interactions . His team has developed major resources like the TerrestrialMetagenomeDB and HumanMetagenomeDB databases. Recent publications highlight innovative approaches to bioindicator detection and metagenome-assembled genomes across multiple environmental contexts. The group integrates bioremediation , ecotoxicology , and microplastics research through international partnerships. Funding includes the Helmholtz Young Investigator Grant (€1.8M) and dual degree programs between UFZ and Brazilian universities.

Susanne Gerberمشاهده پروفایل

استاد

• Bioinformatics
• Computational Genomics
• Systems Biology
• +۲ مورد دیگر

Susanne Gerber is a Professor at iDNA and Adjunct Director at the Institute of Molecular Biology (IMB), Johannes Gutenberg University Mainz (JGU), affiliated with the Faculty of Biology's Bioinformatics department. Her academic journey includes an Assistant Professorship in Bioinformatics at JGU (2015-2020) and postdoctoral research at Università della Svizzera italiana. Her educational background comprises a PhD in Biophysics from Humboldt University of Berlin (2011), an M.Sc. in Bioinformatics from Free University of Berlin and Konrad Zuse Institute (2007), and a B.Sc. in Bioinformatics from Free University of Berlin and Max Planck Institute (2004). Dr. Gerber's research spans Bioinformatics, Computational Genomics, Systems Biology, Molecular Evolution, and Neuroinformatics , focusing on developing computational frameworks for genomic analysis, neurodegenerative disease modeling, and microbiome interactions. Her work integrates machine learning with multi-omics data to address complex biological questions in molecular evolution and neural systems. Analysis of her 15 most recent publications (2024-2025) reveals a strong emphasis on nanopore sequencing applications for RNA modification detection, deep learning frameworks for genomic data enhancement, and neurobehavioral modeling using AI-driven approaches. Key thematic clusters include epitranscriptomics, chromatin dynamics, and computational psychiatry with ethical AI considerations. Her methodological innovations include tools like COMET for network analysis, CCUT for chromatin data enhancement, and ModiDeC for RNA modification classification, demonstrating translational impact across genomics and neuroscience. Dr. Gerber leads research groups at IMB and iDNA focusing on computational genomics, advising students in bioinformatics and securing grants for AI-driven genomic analysis. Her labs develop open-source tools for nanopore data processing and neuroimaging analysis, fostering collaboration between computational and experimental biologists.

William S. Bushمشاهده پروفایل

استاد

• Bioinformatics
• Genomics
• Genetic Epidemiology
• +۴ مورد دیگر

William S. Bush, PhD, is Professor in the Department of Population and Quantitative Health Sciences and Department of Genetics and Genome Sciences at Case Western Reserve University School of Medicine, serving as Associate Director for Computational Genomics at the Institute for Computational Biology. His research integrates functional genomics knowledge into genetic analysis and leverages electronic medical records for translational applications in neurocognitive disorders. Education: PhD, Vanderbilt University, 2008 MS, Vanderbilt University, 2008 Dr. Bush specializes in bioinformatics and statistical methods development for detecting complex genetic effects, knowledge-guided genomic analysis using structured biological hypotheses, and genetic epidemiology of Alzheimer's Disease and HIV-associated neurocognitive disorders. His work emphasizes nuclear and mitochondrial genetic interactions and pathway-based analytical approaches. His 2019-2020 publications reveal strong focus on Alzheimer's disease genomics through large consortia like the Alzheimer's Disease Sequencing Project, with significant contributions to software engineering for reproducible bioinformatics, pathway analysis methodologies, and multi-ethnic genomic studies. Key themes include immune pathway involvement in neurodegeneration and translational applications of genomic data. Scientific Awards: None listed in source materials. Dr. Bush mentors Master's students, PhD candidates, and postdoctoral fellows while leading major NIH-funded initiatives: NIH/NIA RO1: Genetic drivers of resilience to Alzheimer’s disease NIH/NIGMS RO1: Atlas of clinical associations mapping to protein structures NIH/NIA UO1: Alzheimer’s Disease sequence analysis collaborative USDA/Foundation for Food and Agriculture Research: Modeling neighborhood food futures NIH/NIDDK U2: Cleveland KPMP recruitment network NIH/NIAID R56: Genetics of TB resistance in HIV+ subjects NIH/NIA U54: Alzheimer’s Disease Sequencing Project coordination NIH/NIA U01: Replication of ADSP discoveries in African-Americans NIH/NIA R01: Genetics of Alzheimer Disease in Puerto Ricans He co-chairs the ADSP Annotation Working Group, develops widely used genomic annotation resources, and holds external appointments at Cleveland Clinic Genomic Medicine Institute and Cleveland Institute for Computational Biology.

Victor Greiffمشاهده پروفایل

استاد

• Computational Immunology
• Adaptive Immune Receptor Repertoires
• Machine Learning in Antibody Design
• +۵ مورد دیگر

Victor Greiff is a Professor at the University of Oslo's Institute of Clinical Medicine , leading the Computational and Systems Immunology group. His research focuses on integrating high-throughput single-cell sequencing , artificial intelligence , and high-dimensional statistics to advance therapeutic antibody design, diagnostics, and vaccine development for infectious diseases, autoimmunity, and cancer. Key Research Areas : Computational immunology, adaptive immune receptor repertoires, machine learning in antibody discovery, bioinformatics, structural biology, and immune diagnostics. Funding : European Research Council (ERC) Grant AB-AG-INTERACT (Project ID: 101125630). Recent Publications highlight interdisciplinary work in: Machine learning for antibody design and immune repertoire classification . Structural analysis of antibody-antigen interactions and evolutionary immunogenetics . Development of bioinformatics tools (e.g., ExpoSeq, TCRpower, CompAIRR) for immune sequencing data analysis. Scientific Contributions include: Establishing computational frameworks for synthetic immune repertoire generation. Exploring genetic constraints on TCR and BCR diversity. Advancing AI-driven antibody engineering for improved therapeutic developability.

Massimo Mecellaمشاهده پروفایل

استاد

• Service-Oriented Computing
• Business Process Management
• Process Mining
• +۱۲ مورد دیگر

Massimo Mecella serves as Full Professor at Sapienza University of Rome's Faculty of Information Engineering, Computer Science and Statistics, where he leads the Processes, Services and Software Management research group and participates in the CINI National Cyber Security Lab. His academic foundation stems from a PhD in Computer Engineering earned at Sapienza in 2002. His research expertise spans service-oriented computing, business process management, and cyber-physical systems with emphasis on service composition, process mining, and adaptive distributed architectures. Key technical domains include IoT integration, digital twin development, and security frameworks for complex software ecosystems. Recent publications (2024-2025) demonstrate a pronounced shift toward Large Language Model (LLM) integration in business processes and smart manufacturing. Dominant themes include LLM-driven process modeling, multimodal quality control systems, and digital twin implementations for energy management and production optimization. Methodological innovations focus on retrieval-augmented generation (RAG) for service discovery and fuzzy cognitive maturity assessments. His distinguished recognition includes: ICSOC 2013 Most Influential Paper Award (2003-2012 decade) 2017 Best Paper Award As research group leader, Mecella directs projects in smart manufacturing, process mining, and cyber-physical security, with funding typically sourced from EU initiatives and industry partnerships in aerospace, healthcare, and energy sectors. His team maintains active collaborations with aerospace manufacturers through the MICS SPOKE8 project and develops frameworks like SAMBA for human-in-the-loop manufacturing systems. The Processes, Services and Software Management group operates within Sapienza's engineering faculty infrastructure, utilizing specialized labs for CPS/IoT testing and digital twin simulation, with strong ties to the CINI Cyber Security Lab for security validation.

• Global Health
• Infectious Diseases
• Tropical Medicine
• +۵ مورد دیگر

Dr. Joseph Vinetz is Professor of Medicine (Infectious Diseases), Anthropology, and Epidemiology (Microbial Diseases) at Yale University, with additional affiliations as Research Professor at Universidad Peruana Cayetano Heredia and Senior Investigator at the Alexander von Humboldt Institute of Tropical Medicine. His work bridges clinical practice, laboratory research, and field epidemiology, focusing on malaria and leptospirosis in the Peruvian Amazon, Brazilian Amazon, and Sri Lanka. He leads a research program continuously funded by NIH since 2001, alongside support from WHO, Gates Foundation, and HHMI. Research Highlights: Malaria resilience mechanisms in Amazonian populations Molecular ecology of Plasmodium-Anopheles interactions Leptospirosis diagnostics and vaccine development Genomic studies of malaria vectors and parasites Climate change impacts on tropical disease transmission Scientific Recognition: Elected to American Society for Clinical Investigation Fellow of American College of Physicians Bailey K. Ashford Medal recipient Doctor Honoris Causa from PGIMER, India Academic Leadership: Dr. Vinetz mentors multidisciplinary research teams and contributes to Yale's global health initiatives. His lab develops novel interventions for neglected tropical diseases while translating bench discoveries to clinical and public health applications.

Ravi Kantمشاهده پروفایل

دانشیار مدعو

• Virology
• Zoonotic Diseases
• Infectious Diseases
• +۵ مورد دیگر

Ravi Kant serves as Principal Investigator and Adjunct Associate Professor at the University of Helsinki, with additional Visiting Professor appointments at Medical University of Gdansk, Poland and University of Nairobi, Kenya. He is affiliated with the Helsinki One Health (HOH) Viral Zoonosis Research Unit and the Emerging Infections Research Group within the Department of Virology at the Faculty of Medicine. His research focuses on viral zoonoses, emerging infectious diseases, and viral genomics. Key research areas include SARS-CoV-2 transmission dynamics, viral pathogenesis in animal models, viral metagenomics, and molecular epidemiology of emerging pathogens. His work spans both human and veterinary medicine, reflecting the One Health approach that characterizes his research unit. Kant leads multiple significant research projects including the EU-funded REFINE project (2025-2028), Pipeline for Rapid Diagnostics of Emergency Transboundary Infectious Diseases (2023-2027), and research on poxvirus epidemiology and disease control (2022-2025). His publication record demonstrates consistent output with 81 publications spanning from 2005 to 2025, with recent emphasis on SARS-CoV-2, mpox, antimicrobial resistance, and viral metagenomics. He actively supervises doctoral students across multiple programs including Biomedicine, Microbiology and Biotechnology, and Clinical Veterinary Medicine, with several ongoing doctoral supervision activities documented through 2025. His media engagement includes significant contributions to public understanding of infectious diseases, with appearances discussing topics such as the cause of dermatitis epidemics in trotting horses, innovative mobile diagnostic laboratories, and mitochondrial roles in antiviral immunity.

• Autism Spectrum Disorders
• Tourette Disorder
• Neuropsychiatric Genetics
• +۳ مورد دیگر

Matthew W. State, MD, PhD is the Oberndorf Family Distinguished Professor and Chair of Psychiatry at the University of California, San Francisco (UCSF) School of Medicine, and Director of the Langley Porter Psychiatric Institute and Hospital. He is also affiliated with the UCSF Weill Institute for Neurosciences, where he leads groundbreaking research at the intersection of child psychiatry and human genetics. Dr. State received his undergraduate and medical degrees from Stanford University, completed his residency in psychiatry and fellowship in child psychiatry at the UCLA Neuropsychiatric Institute, and earned a PhD in genetics from Yale University working in the lab of David C Ward. He was on the faculty at Yale from 2001 to 2013 where he was the Donald J. Cohen Professor of Child Psychiatry, Psychiatry and Genetics and the Co-Founder and Co-Director of the Yale Program on Neurogenetics. Dr. State is a leading child psychiatrist and human geneticist whose research focuses on pediatric neuropsychiatric syndromes, particularly autism spectrum disorders (ASD) and Tourette disorder (TD). His laboratory has played a pivotal role in demonstrating the contribution of rare and de novo genetic variation to these conditions. His work has contributed significantly to the identification of dozens of ASD risk genes and the first high-confidence TD genes. Through systems biological approaches, his research has characterized the spatial and temporal convergence of autism genes in developing human brain, providing crucial insights into disease mechanisms. His lab utilizes diverse methodologies including genomic analysis, functional studies in model systems, and collaborative large-scale sequencing efforts. Analysis of Dr. State's recent publications reveals a strong focus on the molecular and cellular mechanisms underlying autism spectrum disorders. His research increasingly examines the convergence of autism-related proteins, chromatin regulation, and the role of specific cellular structures like cilia in neurodevelopment. There's also a growing emphasis on translating genetic findings into potential therapeutic approaches, with several recent papers addressing treatment development and biomarker identification for autism and related conditions. His work demonstrates a clear trajectory from gene discovery to understanding biological pathways and ultimately to developing novel therapeutic strategies. Yale Graduate School Alumni Association 2020 Wilbur Cross Medal National Academy of Medicine 2017 Rhoda and Bernard Sarnat International Prize in Mental Health National Academy of Medicine 2014 Elected member American Academy of Child and Adolescent Psychiatry 2014 Tarjan Award Brain and Behavior Research Foundation 2012 Ruane Prize Science Magazine 2011 Annual Top 10 Scientific Breakthroughs Science Magazine 2005 Annual Top 10 Scientific Breakthroughs Dr. State plays a leadership role in numerous national and international collaborative genomics studies, including the Simons Simplex Collection Genomics Consortium, the Autism Sequencing Consortium, and the Tourette International Collaboration (TIC) on Genetics. His NIH-funded research portfolio includes multiple principal investigator roles on grants examining the genetic architecture of autism and Tourette disorder, brain development, and the functional consequences of genetic variants. His laboratory has been continuously funded by the National Institutes of Health since 2002, with recent grants totaling millions of dollars supporting cutting-edge research in neurogenetics. His collaborative approach has established him as a central figure in the field of psychiatric genetics. Dr. State directs a vibrant research program that integrates genomic analysis with functional studies to understand the biological basis of neurodevelopmental disorders. His work bridges basic science and clinical applications, with a growing emphasis on identifying potential therapeutic targets based on genetic findings. He collaborates extensively with researchers across multiple institutions and disciplines, fostering a collaborative approach to understanding the complex genetic architecture of autism spectrum disorders and Tourette disorder. His research program includes both human genetic studies and functional validation in model systems, creating a comprehensive pipeline from gene discovery to biological mechanism.

Nicole Sextonمشاهده پروفایل

استادیار

• Virology
• Viral Genetics
• Arboviruses
• +۵ مورد دیگر

Nicole R. Sexton, PhD is an Assistant Professor at the University of Nebraska-Lincoln in the School of Biological Sciences and the Nebraska Center for Virology. Her research focuses on viral genetic adaptations that permit viruses to survive and flourish in alternating host environments, particularly RNA arboviruses that cycle between arthropod and vertebrate hosts. Education: Postdoctoral fellowship, Colorado State University Ph.D., Vanderbilt University B.S., University of California – Santa Cruz A.S., Santa Rosa Junior College Dr. Sexton's research interests center on viral genetic robustness, particularly in pathogenic viruses that cycle between arthropod and vertebrate hosts. She investigates how arboviruses like Zika, chikungunya, Dengue, Japanese encephalitis, and Rift Valley fever viruses balance high mutation rates with cyclical transmission between different host species. Her work examines viral strategies to evade distinct immune functions across host species, how viral genetic robustness affects infection in different hosts, how arboviral populations prevent disruption from deleterious mutations while maintaining diversity for selection, and the distinct pressures applied to arboviruses from their arthropod hosts. Analysis of Dr. Sexton's recent publications (2016-2023) reveals a strong focus on viral evolution, particularly in arboviruses and coronaviruses. Her work spans molecular virology, host-virus interactions, viral genetics, and epidemiology. Key themes include viral adaptation to multiple hosts, mutation rates and genetic diversity, vector competence, and SARS-CoV-2 transmission dynamics. Her research employs multi-tiered approaches including bioinformatics, computational comparisons, molecular biology, classical virology, mosquito infections, and high-throughput sequencing technologies. Dr. Sexton leads the Sexton Lab at the University of Nebraska-Lincoln, which investigates mechanisms of efficient spread by arboviruses and virus traits associated with host preferences. The lab utilizes various approaches to study host-virus interactions, with a particular focus on how viruses maintain genetic robustness while adapting to alternating host environments.

Somali Chaterjiمشاهده پروفایل

دانشیار

• Data Science
• Digital Agriculture
• Computational Biology
• +۶ مورد دیگر

Dr. Somali Chaterji is an Associate Professor in the Department of Agricultural & Biological Engineering at Purdue University, with a courtesy appointment in the Elmore Family School of Electrical and Computer Engineering. Her research bridges data science, digital agriculture, and computational genomics, focusing on machine learning for IoT, edge computing, and scalable genomics analysis. She leads the Innovatory for Cells and Neural Machines (ICAN), developing algorithms for efficient data analytics in resource-constrained environments. Education: PhD in Biomedical Engineering (Purdue University), Postdoctoral Fellowship at University of Texas at Austin. Awards include the NSF CAREER Award (2022), ACM BCB Best Paper (2015), and Purdue Seed-for-Success Award (2016). She founded KeyByte LLC, a cloud computing startup optimizing ML workloads. Research spans IoT edge analytics (e.g., drone surveillance, embedded systems) and genomics (single-cell clustering, error correction in sequencing). She is Co-PI of the NSF CHORUS Center and A2I2 Army Institute. Over 20 students are advised, with active projects on serverless computing, federated learning, and genome engineering. Labs/Teams: ICAN Lab, WHIN project (Lilly Endowment), Purdue ABE Extension. Collaborations with Microsoft, Amazon, and Adobe Research. Active in teaching, including courses on applied ML and computational genomics with innovative pedagogy.