جست‌وجوی استاد و پژوهشگر

Carmen Bergomمشاهده پروفایل

دانشیار

• Radiation Oncology
• Breast Cancer
• Tumor Microenvironment
• +۵ مورد دیگر

Carmen Bergom, MD, PhD, is an Associate Professor of Radiation Oncology at Washington University School of Medicine (WashU Medicine), where she joined the faculty in 2020. She holds secondary appointments in the Division of Cancer Biology and the Siteman Cancer Center. Her research focuses on leveraging genetic models to improve radiation therapy efficacy while mitigating radiation-induced cardiotoxicity , particularly in breast cancer patients. Key areas include radiation biology , tumor microenvironment , and cardio-oncology . Recent publications highlight her work in genetic mapping of radiation sensitivity (e.g., rat chromosome 3 variants), innovative imaging techniques (e.g., integrin-targeted PET), and clinical trial design for cardiovascular risk stratification. Her laboratory has pioneered the first genetic studies of radiation-induced cardiac dysfunction. Scientific awards include the Michael Fry Research Award (2021) and recognition as a Top Doctor in America (2018, 2019). She serves as Chair of the ASTRO Science Council Scientific Review Panel and co-chair of the Clinical and Experimental Research in Radiation Oncology meeting at ESTRO. Dr. Bergom treats breast cancer patients clinically and mentors students across all levels (undergraduate to postdoctoral). Her work bridges basic research with clinical applications , aiming to develop biomarkers and therapeutic targets for radiation oncology.

• Numerical Modeling
• Computational Simulation
• Materials Science
• +۵ مورد دیگر

Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.

Michael Murrellمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Cell Biology
• Soft Matter Physics
• +۳ مورد دیگر

Michael Murrell is an Associate Professor of Biomedical Engineering at Yale University, with additional appointments in the Physics Department and the Molecular, Cellular and Developmental Biology Track. He holds a B.S. from Johns Hopkins University and a Ph.D. from MIT. His research focuses on understanding cellular mechanics through biomimetic systems and soft matter physics, aiming to bridge biological principles with technological innovation. Key interests include the mechanical basis of cell division, migration, and energy dynamics in cytoskeletal networks. Selected honors include the Postdoctoral Fellowship from the Institute for Complex Adaptive Matter (2010–2012), an NIH Biotechnology Training Grant (2005–2008), and the MIT Presidential Fellowship (2004). His lab, the Laboratory of Living Matter, investigates how physical properties of cells drive life processes, using tools from synthetic biology and computational modeling. Recent work explores energy localization in cytoskeletal networks and mechanical memory in actin systems. Publications highlight advancements in actomyosin contractility, cortical flows, and biophysical energy conversion. The lab actively seeks PhD students and postdocs to join interdisciplinary projects at the Yale Systems Biology Institute and the Physical Engineering and Biology Program.

• Machine Learning
• Artificial Intelligence
• Large Language Models
• +۷ مورد دیگر

Pengtao Xie is an Associate Professor (with tenure as of June 2025) in the Department of Electrical and Computer Engineering at the University of California San Diego. He also serves as Associate Adjunct Professor in the Division of Biomedical Informatics, Department of Medicine, and holds affiliate appointments with the Halıcıoğlu Data Science Institute, School of Biological Sciences, Shu Chien-Gene Lay Department of Bioengineering, Skaggs School of Pharmacy and Pharmaceutical Sciences, and multiple research institutes including the AI Group, Center for Machine-Intelligence, Computing and Security, Institute of Engineering in Medicine, and Institute for Genomic Medicine. Education: PhD in Machine Learning, School of Computer Science, Carnegie Mellon University Research Interests: His research focuses on machine learning inspired by human learning skills, such as self-explanation, small-group learning, and learning by teaching. He applies these techniques to large language models, foundation models, healthcare, and biomedicine. His work spans generative AI, medical imaging, protein modeling, and drug discovery. Recent Research Trends: His 2024–2025 publications emphasize generative AI for ultra-low-data medical image segmentation, multimodal large language models for biomedical applications, protein function prediction, and novel training strategies like task-adaptive pretraining and bi-level optimization for model adaptation. Scientific Awards: NIH MIRA Award (2025) NSF CAREER Award (2024) Best Graduate Teacher Award – UCSD ECE (2023) ICLR Notable-Top-5% Paper (2023) Global Top-100 Chinese Young Scholars in AI (2022) UCSD Faculty Career Development Award (2022) Tencent Faculty Award (2021) Outstanding Reviewer – ICLR (2021) AMIA Doctoral Dissertation Award Finalist (2020) Amazon AWS Research Award (2020) Tencent AI-Lab Faculty Award (2020) Innovator Award – Pittsburgh Business Times (2018) Siebel Scholarship (2014) Advising and Grants: He currently advises PhD students, postdocs, and master’s students. He has received major grants including the NIH MIRA and NSF CAREER awards, and actively mentors Schmidt AI in Science postdocs and graduate students. Teaching and Labs: He teaches ECE285 Deep Generative Models and ECE175B Probabilistic Reasoning and Graphical Models . His lab focuses on foundational and translational AI research with applications in biomedicine and healthcare.

• Stem Cell Biology
• Genetic Engineering
• Epigenetics
• +۵ مورد دیگر

Konstantinos Anastassiadis is a Professor at the Center for Molecular and Cellular Bioengineering (CMCB) of Dresden University of Technology , leading the Stem Cell Engineering group at the Biotechnology Center (BIOTEC) . His research focuses on unraveling molecular pathways regulating stem cell self-renewal and lineage commitment, with a strong emphasis on genetic engineering tool development and epigenetic mechanisms during cellular reprogramming. The lab utilizes mouse and human embryonic stem cells, neural stem cells, mesenchymal stromal cells, and induced pluripotent stem cells (iPSCs) in their investigations. Core Research Areas: Molecular regulation of stem cell fate Epigenetic mechanisms (e.g., UTX/UTY histone demethylases) Genetic engineering tool development (Flp, Dre, Vika recombinases, CRISPR protocols) Conditional immortalization systems for rare cell expansion Publications highlight his contributions to understanding: Role of histone methyltransferases (MLL1, MLL2, Setd1b) in hematopoiesis and cancer Epigenetic regulation during mouse development and spermatogenesis Genetic tools for protein tagging, transposon-mediated BAC transgenesis Interactions between stem cells and niche microenvironments Transcriptional and mechanical markers during reprogramming Collaborations span immunology , developmental biology , and bioinformatics . The lab actively participates in teaching activities at CMCB and maintains a focus on translational applications of stem cell research.

• Wireless Communications
• Coding Theory
• Quantum Information Processing
• +۵ مورد دیگر

Olav Tirkkonen serves as a Full Professor in the Department of Communications and Networking at Aalto University, Finland, a position he has held since August 2006. He leads the Communication Theory research group, driving innovation in wireless communication systems. His academic journey includes a distinguished career spanning industry and academia, with significant contributions to 3G, 4G, and 5G technologies. His educational qualifications are: Doctor of Science (Ph.D.) in Theoretical Physics, Helsinki University of Technology, 1994 Master of Science (M.Sc.) in Theoretical Physics, Helsinki University of Technology, 1990 Professor Tirkkonen's research interests are centered on wireless communications, with a focus on physical layer processing, coding theory, and quantum information processing. His group explores advanced topics including 5G and beyond wireless networks (spectrum management, large-scale MIMO, ultra-reliable low-latency communication), network-level interference coordination, collaborative caching, machine learning applications for wireless channel geography, coding on manifolds, and quantum communication systems. This research bridges fundamental theory with practical implementation in next-generation wireless networks. Analysis of his recent publications (2024-2025) indicates a predominant focus on machine learning techniques for wireless channel modeling (channel charting), pilot allocation in MIMO systems, and quantum error correction. His work is instrumental in addressing key challenges in 5G/6G networks, particularly in scenarios demanding ultra-reliability, low latency, and efficient resource utilization. His scientific contributions include: Co-inventor of approximately 80 families of patents and patent applications Co-author of the book "Multiantenna transceiver techniques for 3G and beyond" Throughout his career, Professor Tirkkonen has mentored numerous graduate students and secured substantial research funding from various sources. His industry experience at Nokia Research Center (1999-2010) and visiting position at Cornell University (2016-2017) have enriched his research perspective and fostered strong industry-academia collaborations. The Communication Theory group, under his leadership, maintains active collaborations with leading institutions and companies worldwide, positioning Aalto University at the forefront of wireless communications research.

Michael Lampsonمشاهده پروفایل

استاد

• Cell and Developmental Biology
• Evolution
• Cell biology of meiotic drive
• +۷ مورد دیگر

Michael Lampson is Professor of Biology at the University of Pennsylvania's School of Arts and Sciences, with secondary appointments in the Department of Cell and Developmental Biology. He serves as faculty in the Cell and Molecular Biology (CAMB) and Biochemistry and Molecular Biophysics (BMB) Graduate Groups, and is affiliated with the American Society for Cell Biology (ASCB). Ph.D., Cornell University, Weill Medical College, 2002 AB, Harvard College, 1994 Dr. Lampson's research program focuses on fundamental mechanisms of chromosome biology, with particular emphasis on cell division, centromere inheritance, and meiotic drive. His lab investigates how selfish genetic elements can violate Mendel's First Law through meiotic drive, the stability of centromere chromatin through the germline, and the role of repetitive satellite DNA in chromosome segregation. Using innovative approaches including mouse model systems, optogenetic tools, and biochemical techniques, his work bridges cell biology, genetics, and evolutionary biology to address questions with implications for reproductive biology, cancer, and genetic inheritance. Analysis of Dr. Lampson's recent publications reveals a strong focus on the intersection of centromere biology, meiotic drive, and chromosome segregation mechanisms. His work increasingly incorporates computational approaches alongside experimental systems to study evolutionary aspects of centromere function. The research demonstrates consistent innovation in methodology, particularly in developing optogenetic tools for precise manipulation of cellular processes. Key themes include the role of satellite DNA variation, mechanisms of non-Mendelian inheritance, and the stability of chromatin structures through cell division and development. Searle Scholar Award American Association for the Advancement of Science (AAAS) fellow Dr. Lampson's research is supported by multiple NIH grants including from NIGMS, NHGRI, NICHD, and NCI, as well as University of Pennsylvania funding sources including the University Research Foundation, Abramson Cancer Center, and several specialized research centers. He collaborates extensively with researchers across disciplines, including Ben Black (Biochemistry), Dennis Discher (Chemical Engineering), Dave Chenoweth (Chemistry), and Roger Greenberg (Cancer Biology), reflecting the interdisciplinary nature of his work. His lab has trained numerous graduate students and postdocs who have gone on to successful careers in academia and industry. The Lampson Lab maintains state-of-the-art facilities for cell biological, genetic, and biochemical research, with specialized equipment for live-cell imaging, optogenetic manipulation, and mouse genetics. The lab fosters a collaborative environment that bridges molecular, cellular, and evolutionary perspectives on chromosome biology.

Silvia Santosمشاهده پروفایل

پژوهشگر

• Developmental Biology
• Cell Biology
• Cell Cycle & Chromosomes
• +۳ مورد دیگر

Silvia Santos is a Group Leader at the Francis Crick Institute, leading the Quantitative Stem Cell Biology Lab since January 2018. Her research focuses on understanding cell decision-making during transitions, specifically cell division and differentiation in early development using human embryonic stem cells. She combines experimental techniques with theoretical approaches, including advanced microscopy, genomics, and computational modeling. Education and Career: PhD in Molecular and Cell Biology from EMBL-Heidelberg (2008), followed by postdoctoral training at Stanford University (2009-2014). She held an MRC Career Development Award at Imperial College London (2014-2017) before joining the Crick. Her work emphasizes interdisciplinary methods to study cellular processes in health and disease. Research Interests: Spatial-temporal control in cell decisions, stem cell differentiation, cell cycle regulation, and modeling embryonic development. She advocates for women in science and mentorship programs for early-career researchers. Key Achievements: Recipient of Marie Curie E-Star, EMBO, and HFSP fellowships. Recognized with the BioModels’ Model of the Year 2023 for contributions to systems biology. Her lab develops models like gastruloids to study embryonic development. Grants and Mentorship: Supported by MRC and other grants. Committed to fostering excellence in training and mentorship, previously chairing mentorship initiatives at Imperial College London. Labs and Teams: Quantitative Stem Cell Biology Lab at the Crick, collaborating with interdisciplinary teams on projects involving proteomics, genomics, and high-throughput screening.

Marek Sanakمشاهده پروفایل

استاد

• Genetics
• Asthma
• Lipid mediators of inflammation
• +۷ مورد دیگر

Professor Marek Sanak serves as Full Professor at the Department of Internal Medicine, Jagiellonian University Medical College in Cracow, Poland. He concurrently holds leadership positions as Acting Director of the Department of Forensic Medicine, Head of the Division of Molecular Biology and Clinical Genetics, and Vice-Rector for Research and International Cooperation since 2016. His academic foundation includes: MD from Jagiellonian University Medical College Specialization in Pediatrics and Genetics PhD from Jagiellonian University Research appointments at Harvard University, University of Paris VI, and University of Zurich Professor Sanak's research integrates clinical genetics with molecular immunology, focusing on asthma pathogenesis, lipid mediators of inflammation, and genetic diagnostics. His laboratory employs advanced techniques including deep DNA/RNA sequencing to identify biomarkers and elucidate disease mechanisms. The work bridges fundamental molecular discoveries with clinical applications in respiratory diseases, allergic disorders, and forensic medicine, demonstrating particular expertise in aspirin-exacerbated respiratory disease and epigenetic regulation of inflammatory pathways. Analysis of his recent publications reveals a strategic evolution from classical asthma research toward molecular genetics and viral pathogenesis. His 2017-2021 work increasingly incorporates epigenetic approaches (DNA methylation, microRNA profiling) while expanding into SARS-CoV-2 research during the pandemic. The publications demonstrate interdisciplinary integration across immunology, respiratory medicine, and molecular diagnostics, with consistent focus on translational applications. His distinguished career has been recognized through numerous honors: The Lancet Investigators Award on Asthma (1997) Polish Ministry of Health Individual Prize (1999) Jagiellonian Laurel (2012) Pro Arte Docendi Award (2014/15) Gold Medal for Long Service (2019) Top 2% of world scientists ranking (Elsevier 2022) As Vice-Rector for Research, Professor Sanak has significantly expanded international collaborations with King's College London, University of Southampton, and University of Zurich. His leadership has secured substantial funding for molecular diagnostics and inflammatory disease research while mentoring numerous early-career researchers. He delivers invited lectures globally for organizations including the American Thoracic Society and European Academy of Allergy and Clinical Immunology. Professor Sanak directs integrated research units across the Division of Molecular Biology and Clinical Genetics, Division of Biochemical and Molecular Diagnostics at University Hospital Cracow, and the Department of Forensic Medicine. These teams combine clinical service with basic research to advance genetic diagnostics and understand disease mechanisms, maintaining forensic genetics expertise developed over 20 years of practice.

Gabriele Schweikertمشاهده پروفایل

مدرس ارشد

• Computational Biology
• Machine Learning
• Epigenetics
• +۶ مورد دیگر

Dr. Gabriele Schweikert is a Senior Lecturer and Principal Investigator with a joint appointment between the Division of Computational Biology in the School of Life Sciences at University of Dundee and Cyber Valley in Tuebingen. Her research focuses on applying machine learning techniques to understand epigenetic mechanisms and molecular processes in living cells. Dr. Schweikert completed her PhD at the Max Planck Institute Tuebingen working with Schoelkopf, Weigel, and Raetsch labs on machine learning for computational gene finding. She subsequently joined Adrian Bird's lab at the Wellcome Trust Center for Cell Biology in Edinburgh, a pioneer in epigenomic research. Prior to her current position, she held prestigious Marie Curie and EMBO Fellowships at the School of Informatics, University of Edinburgh. Her research interests center on using machine learning to decode epigenetic mechanisms that determine cellular identity and function. She investigates how cells with identical DNA can differentiate into specialized cell types through epigenetic regulation, with particular focus on applications in understanding tumorigenesis where epigenetic machinery malfunctions. Her work combines high-throughput epigenomic data with advanced computational approaches to address complex biological questions. Analysis of her recent publications reveals a strong focus on epigenomic data analysis, machine learning applications in biology, and computational approaches to understanding gene regulation. Her work spans from fundamental epigenetic mechanisms to practical applications in disease research, with growing emphasis on individual-specific epigenomic analysis and explainable AI in biomedical contexts. UKRI Future Leaders Fellowship (2020, £1.6 million) Marie Curie Fellowship EMBO Fellowship Dr. Schweikert actively supervises PhD students and has received significant research funding for projects including 'Machine Learning Methods to Re-Annotate Histone Modifications,' 'Unlocking The Alternative Splicing Code,' and 'GPU-Based Machine Learning System For Fundamental Biological Research.' She is involved in multiple interdisciplinary collaborations and frequently presents her work at major conferences including ELLIS Health program retreat, Epigenetics Meetings, and RECOMB workshops. She maintains active research laboratories in both Dundee and Tuebingen, fostering international collaboration between computational biologists, machine learning experts, and experimental biologists to advance our understanding of epigenetic regulation in health and disease.

Daniel Needlemanمشاهده پروفایل

استاد

• Biological Physics
• Microtubule Networks
• Spindle Assembly
• +۳ مورد دیگر

Dr. Daniel Needleman is Gordon McKay Professor of Applied Physics and Professor of Molecular and Cellular Biology at Harvard University. His research investigates physical principles of biological self-organization using quantitative approaches. Research focuses on microtubule network dynamics, mitotic spindle assembly, and error correction mechanisms during cell division. The Needleman Lab develops novel imaging and biophysical methods to probe subcellular structures at nanoscopic scales. Recent work includes heat-sensing technologies for energy flux measurements in single cells and quantitative analysis of microtubule sliding dynamics. Research integrates physics, engineering, and cell biology to understand emergent behaviors in living systems.

Donald Rioمشاهده پروفایل

استاد

• Nucleic Acid Transactions
• Transposable Elements
• RNA Binding Proteins
• +۳ مورد دیگر

Donald Rio holds the Richard and Rhoda Goldman Distinguished Chair in the Biological Sciences and is a Professor of Biochemistry, Biophysics, and Structural Biology. He is affiliated with the Division of Biochemistry and Molecular Biology and the Center for Integrative Genetics. His lab focuses on nucleic acid transactions, including transposable element mobilization (P elements) and RNA binding protein mechanisms controlling alternative splicing. Research highlights include studies on THAP9 proteins in humans/zebrafish, cryo-EM structural analysis of transposase-DNA complexes, and splicing regulation in neurodegenerative diseases like ALS and Parkinson’s. His work combines biochemical, genetic, and computational approaches, including the development of the Junction Usage Model (JUM) for splicing analysis. Research interests span transposition mechanisms linked to HIV integration, immune system recombination, and evolutionary genome dynamics. His team investigates how RNA binding proteins like hnRNPA1 influence splicing in disease contexts, with projects involving CRISPR-based models and patient RNA-seq data analysis. Collaborations include studies on splicing accuracy across tissues and age, and the impact of splicing defects in neurodegenerative disorders. Key awards include the Goldman Chair. His lab’s contributions bridge fundamental molecular mechanisms with translational applications in genetic disease modeling and drug discovery. Recent work focuses on isogenic stem cell models (iSCORE-PD) for Parkinson’s research and structural biology insights into transposase function. Grants and projects involve NIH funding for ALS splicing studies and collaborations with institutions like the Buck Institute. His lab actively publishes in top journals such as Genome Research , PNAS , and Nature , with a strong emphasis on cryo-EM and bioinformatic methods.

John C. Doyleمشاهده پروفایل

استاد

• Control Theory
• Dynamical Systems
• Network Science
• +۴ مورد دیگر

John C. Doyle is the Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and BioEngineering at the California Institute of Technology (Caltech), where he holds appointments in the Division of Engineering and Applied Science with primary affiliation in the Control and Dynamical Systems Department. His research bridges theoretical foundations with applications across biological, technological, medical, and ecological networks. He earned a BS and MS in Electrical Engineering from MIT (1977) and a PhD in Mathematics from UC Berkeley (1984), followed by consultancy at Honeywell Systems and Research Center (1976-1990). MIT: BS & MS in Electrical Engineering (1977) UC Berkeley: PhD in Mathematics (1984) Doyle's research centers on universal laws and architectures in complex systems, emphasizing robustness-efficiency tradeoffs, speed-accuracy tradeoffs (SATs), diversity-enabled sweet spots (DeSS), bowtie/hourglass structures, and evolvability. His work pioneers System Level Synthesis (SLS) for control systems with sparse, local, saturating, delayed, noisy, quantized, and distributed (SLSDNQD) components, integrating control theory, computation, communication, and machine learning to address challenges from neural networks to infrastructure resilience. Key concepts include virtualization, horizontal transfer, and virality in multiscale systems. Analysis of his publication trends reveals consistent interdisciplinary impact across neuroscience (brain connectivity modeling), systems biology (metabolic oscillations), network science (internet topology), and physics (turbulence, earthquakes), with recurring themes of robust-efficiency limits and architectural principles governing complex networks. His work demonstrates exceptional translation from abstract theory to practical tools like the Matlab Robust Control Toolbox and Systems Biology Markup Language (SBML). His scientific recognition includes: 1990 IEEE Baker Prize (ranked among top 10 most important mathematics papers 1981-1993) Three IEEE Automatic Control Transactions Awards (1998, 1999, 2021) ACM Sigcomm Paper Prize (2004) and Test of Time Award (2016) IEEE Control Systems Field Award (2004) Multiple early-career honors including IEEE Centennial Outstanding Young Engineer (1984) Doyle has mentored generations of students whose contributions include foundational software tools adopted globally. His research has secured sustained funding from NSF, NIH, and other agencies supporting theoretical advances in control frameworks and their applications to biomedical systems, network infrastructure, and environmental modeling. The SBML initiative exemplifies his group's impact in standardizing computational biology research. He leads a highly collaborative research ecosystem at Caltech that integrates engineers, biologists, neuroscientists, and computer scientists to develop universal principles for complex networks. Current efforts focus on translating theoretical insights into health technologies, resilient infrastructure, and climate-responsive systems through the application of robust-efficiency frameworks to emerging challenges in cyber-physical and biological domains.

Anja Boisenمشاهده پروفایل

استاد

• Drug Delivery
• Sensing Technologies
• Nanotechnology
• +۳ مورد دیگر

Anja Boisen is a Professor and Head of the Drug Delivery and Sensing Section at the Department of Health Technology, Technical University of Denmark (DTU). Her research focuses on advanced drug delivery systems, sensing technologies, and nanotechnology applications in biomedical engineering. She leads a multidisciplinary team developing innovative devices such as microcontainers, microneedles, and lab-on-a-disc platforms for targeted drug delivery and diagnostics. Her work contributes to UN Sustainable Development Goals, particularly in improving health and reducing inequalities. Key research areas include surface-enhanced Raman spectroscopy (SERS), microfabrication for medical devices, and biomaterials for tissue engineering. She has supervised multiple PhD students, including projects on oral drug delivery systems, gastrointestinal retention devices, and energy-harvesting materials for biomedical applications. Boisen’s team has pioneered technologies like self-unfolding foils for oral delivery and smart drug delivery microparticles. Their innovations aim to enhance therapeutic efficacy while minimizing side effects. She has been recognized with the Sensor Division Outstanding Achievement Award (2022) for her contributions to sensor technology. Her lab actively collaborates internationally, advancing applications in cancer therapy, antibiotic monitoring, and gut microbiota research. Current projects explore high-throughput 3D tumor modeling, SERS-based diagnostics, and biodegradable materials for bone fixation.

Jacques Archambaultمشاهده پروفایل

استاد

• Human Papillomavirus (HPV)
• Polyomavirus
• Viral DNA Replication
• +۴ مورد دیگر

Dr. Jacques Archambault is a Professor in the Department of Microbiology and Immunology at McGill University , and an associate member of the Division of Experimental Medicine since 2016. His research focuses on the molecular biology and pathogenesis of human papillomaviruses (HPVs) and polyomaviruses (HPyVs), with an emphasis on their replication mechanisms as episomes in host cells. The Archambault laboratory employs functional genomics, proteomics, and chemical biology approaches to identify cellular pathways exploited by these viruses and develop high-throughput assays for screening small molecule inhibitors of viral replication. Analysis of his recent publications reveals a strong focus on HPV and HPyV replication machinery, including studies on the E1 helicase, UAF1-USP1 interactions, and structural characterization of viral proteins involved in DNA replication. His work bridges virology, oncology, and drug discovery, particularly targeting oncogenic HPV types implicated in anogenital and oropharyngeal cancers, as well as HPyVs like BKPyV and JCPyV that cause pathologies in immunosuppressed patients. Current efforts in the lab aim to elucidate the molecular mechanisms by which HPVs and HPyVs replicate their genomes and to develop antiviral therapies targeting these processes. Techniques such as fluorescence anisotropy, NMR spectroscopy, and crystallography are frequently employed to study protein-DNA and protein-protein interactions critical to viral replication.