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Alexis BattleView profile

Associate Professor

• Genomics
• Machine Learning
• Computational Biology
• +3 more

Alexis Battle is an Associate Professor at Johns Hopkins University with appointments in Biomedical Engineering , Computer Science , and Genetic Medicine (secondary). She directs the Malone Center for Engineering in Healthcare and serves as Deputy Director of the Data Science and AI Institute . Educated at Stanford University (PhD in Computer Science, 2013), Battle transitioned to academia after leadership roles at Google. Research Focus: Battle’s work bridges genomics and machine learning , emphasizing the impact of genetic variation on human health. Her lab develops tools like Watershed to predict functional effects of rare variants, aiming to enhance rare disease diagnosis. Key themes include non-coding DNA analysis , personalized genomics , and systems biology , with applications in cardiovascular disease and neurodegenerative disorders . Publications & Awards: Over 60 peer-reviewed articles in journals like Nature , Science , and Genome Biology , with recent emphasis on single-cell transcriptomics , multiomics integration , and telomere biology . Recipient of the President’s Frontier Award (2022), Microsoft Investigator Fellowship (2019), and Searle Scholar (2016). Scientific Awards: 2022 President’s Frontier Award 2019 Microsoft Investigator Fellowship 2019 Johns Hopkins Discovery Award 2017 Johns Hopkins Catalyst Award 2016 Searle Scholar Advising & Funding: Mentors 11 PhD students, 3 undergraduates, and postdoctoral fellows. Her research is funded by NIH, Searle Scholars, and institutional grants. The Battle Lab collaborates on projects like the GTEx Consortium , focusing on gene regulation and clinical genomics .

Knut ReinertView profile

Professor

• Algorithmic Bioinformatics
• Genomic Sequence Analysis
• Proteomics
• +7 more

Professor Knut Reinert is a leading figure in algorithmic bioinformatics at the Free University of Berlin, where he holds a professorship in the Department of Mathematics and Computer Science. He also maintains a significant affiliation with the Max Planck Institute for Molecular Genetics in Berlin, where he leads the Efficient Algorithms for Omics Data group. His research spans both institutions through the Reinert Lab, which focuses on developing novel computational approaches for biological data analysis. Reinert's educational background includes a Diploma in Computer Science (1994) and a Doctorate (Dr. Ing./Ph.D., 1999, with honors) from the Max-Planck-Institut for Computer Science and Universität des Saarlandes in Saarbrücken. Prior to his professorship, he worked as a computer scientist under Prof. Gene Myers at Celera Genomics in Rockville, USA (1999-2002). His primary research interests center on algorithmic bioinformatics with specific focus on developing novel algorithms and data structures for biomedical mass data analysis. This includes creating mathematical models for genomic sequence analysis and algorithms for mass spectrometry data to detect differential protein expression between normal and diseased samples. His work bridges the gap between computational tool development and practical biological applications, with particular emphasis on NGS and proteomics data. The publications and projects led by Prof. Reinert demonstrate a consistent focus on advancing computational methods in bioinformatics. His research spans genomic sequence analysis, RNA research (particularly long non-coding RNAs), parallel computing applications, and GPU acceleration for biological data processing. The work shows increasing sophistication in handling large-scale biological datasets through innovative algorithmic approaches. Intel® Parallel Computing Center designation for his lab CUDA Research Center status DFG funding of 530 thousand Euros for RNA research de.NBI funding of 2 million Euros BMBF funded projects 'LIVE-DREAM' and 'EssBar' Prof. Reinert leads multiple significant research projects and has established strong collaborations with international partners including Texas A&M, Kings College London, Eberhardt-Karls Universität Tübingen, Robert-Koch-Institute, and various Turkish institutions. His lab receives funding from major organizations including DFG, BMBF, and Intel. The Reinert Lab maintains active teaching responsibilities at FU Berlin, offering courses at BSc, MSc, and PhD levels using both traditional and innovative learning concepts like e-learning and inverted classrooms. The Reinert Lab consists of two interconnected research groups that work closely with experimental biologists and medical researchers to develop practical computational solutions for real-world biological problems. The lab has established itself as a key player in the German and international bioinformatics community through its development of the widely-used SeqAn library and participation in national infrastructure initiatives.

Jens S. AndersenView profile

Professor

• Proteomics
• Quantitative Mass Spectrometry
• Cell Biology
• +11 more

Jens S. Andersen is a Professor in the Department of Biochemistry and Molecular Biology at the University of Southern Denmark, where he leads research in Biomedical Mass Spectrometry and Systems Biology. His work is centered on the development and application of quantitative mass spectrometry and microscopy-based proteomics to study human cell biology, particularly the structure and function of organelles such as centrosomes, cilia, autophagosomes, and mitochondria. His research focuses on determining the protein composition and dynamic properties of cellular organelles, the roles of specific protein groups, and their contributions to biological processes and diseases. He investigates cell signaling mediated by post-translational modifications, especially within the DNA damage response, autophagy, and immune systems. His lab, the Jens S. Andersen Lab, is part of the Research Section of Biomedical Mass Spectrometry. The analysis of his recent publications reveals a strong interdisciplinary trend combining proteomics, structural biology, and cell signaling. His work spans cilia biology, RNA metabolism, DNA repair, and cancer mechanisms, with frequent use of advanced techniques like mass spectrometry, CRISPR, and live-cell imaging. The integration of systems biology approaches is evident across his research outputs. Professor, Department of Biochemistry and Molecular Biology, University of Southern Denmark Head of Research, Biomedical Mass Spectrometry and Systems Biology Principal Investigator, Jens S. Andersen Lab ORCID: 0000-0002-6091-140X While no specific scientific awards are mentioned in the provided texts, his extensive publication record in high-impact journals such as Science , Nature Communications , Molecular Cell , and EMBO Journal reflects significant scholarly contributions. He has supervised research projects and collaborated widely across Europe, though specific names of students are not listed. His research is supported by multiple ongoing projects, reflecting sustained funding and academic leadership. The Jens S. Andersen Lab operates at the intersection of proteomics and cell biology, contributing to fundamental understanding of organelle dynamics and disease mechanisms. The lab's work is highly collaborative, involving partnerships with groups in structural biology, RNA research, and cancer biology.

• Bioinformatics
• Genomics
• Cancer Genomics
• +7 more

Dr. Andre Kahles is a Lecturer in the Department of Computer Science at ETH Zürich, specializing in biomedical informatics. His research focuses on computational methods for analyzing large-scale genomic and transcriptomic data, with applications in cancer genomics, metagenomics, and precision medicine. He has contributed to the development of tools such as SplAdder for alternative splicing analysis, MetaGraph for petascale genomic data exploration, and SECEDO for subclone detection in cancer genomes. His work bridges algorithmic innovation with biological insights, addressing challenges in single-cell analysis, genome graph alignment, and multi-omics integration. Key research themes include: Developing scalable algorithms for processing nanopore sequencing and metagenomic data Characterizing somatic mutations and non-coding drivers in cancer genomes Advancing genome graph-based alignment and annotation methods Integrating multi-omics data for clinical decision-making and tumor profiling His publications span topics like RNA-seq analysis, chromothripsis in cancers, and global urban microbiome tracking through the MetaSUB consortium. Kahles has collaborated on landmark projects including the Pan-Cancer Analysis of Whole Genomes (PCAWG) and the Tumor Profiler Study.

Philipp NeumannView profile

Professor

• High-Performance Computing
• Scientific Computing
• Parallel and Distributed Systems
• +4 more

Philipp Neumann is a Professor and Chair of High-Performance Computing at Helmut Schmidt University since 2019. Previously, he held roles including Senior Researcher at the German Climate Computing Center (2016–2019), Postdoc at the University of Hamburg (2017–2019), and completed his Habilitation in Scientific Computing at TU Munich (2019). He transitioned to DESY/Universität Hamburg in May 2024. Education : PhD (Dr. rer. nat.) in Scientific Computing at TU Munich (2008–2013) Habilitation in Scientific Computing at TU Munich (2019) Studies in Technomathematics at Friedrich-Alexander University Erlangen-Nuremberg (2003–2008) Research Interests focus on high-performance computing, parallel and distributed systems, computational science, and applications in climate modeling. His work bridges computational methods with medical challenges, including surgical simulation training, wound healing mechanisms, and gastrointestinal pathology. Professional Activities include leadership roles in major conferences such as steering committee member for ISPDC (since 2021) and program committee roles in IPDPS, ICCS, and IEEE Cluster. He also managed the DFG priority program SPPEXA (2013–2016). Labs/Teams include the Chair for High-Performance Computing at Helmut Schmidt University and collaborations with the German Climate Computing Center. His current work at DESY/Universität Hamburg likely expands these computational efforts into interdisciplinary research.

Brent FogelView profile

Professor

• Neurogenetics
• Hereditary Ataxia
• Spinocerebellar Ataxia
• +7 more

Dr. Brent Fogel is a Professor in the Departments of Neurology and Human Genetics at the David Geffen School of Medicine, UCLA. He directs the Neurogenetics Clinic and the UCLA Clinical Neurogenomics Research Center , focusing on diagnosing and managing genetic neurological disorders such as cerebellar ataxia , ataxia with oculomotor apraxia , spastic paraplegia , and leukodystrophies . His research integrates genomics , bioinformatics , and neuroimaging to improve precision medicine in prenatal counseling and rare disease diagnosis. Education: MD, PhD from Medical College of Wisconsin (2003) PhD in Genetics (2001) Internship in Internal Medicine (Northwestern University, 2004) Residency in Neurology (UCLA, 2007) Fellowship in Neurogenetics (UCLA, 2009) Board Certified in Neurology (2009) Research Focus: Dr. Fogel’s work spans neurogenetics , spinocerebellar ataxia , leukodystrophy , and genomic technologies . He has pioneered gene discovery in hereditary ataxias, developed transcriptional biomarkers , and contributed to diagnostic guidelines for rare disorders. His studies on lysosomal genes in Parkinson’s disease and exome sequencing disparities address critical gaps in neurogenetic research. Key Collaborations: He leads multicenter studies with the Ataxia Global Initiative , Undiagnosed Diseases Network , and Genomics England Research Consortium . His lab ( FogelLab ) develops tools like multiWGCNA for gene network analysis.

Katherine E. VarleyView profile

Associate Professor

• Breast Cancer
• Epigenetics
• Gene Expression Regulation
• +5 more

Katherine E. Varley, PhD is a Huntsman Cancer Institute Investigator and Associate Professor in the Department of Oncological Sciences at the University of Utah. She leads the Varley Lab and is a member of the Nuclear Control of Cell Growth and Differentiation Program, focusing on breast cancer genomics, epigenetics, and biomarker discovery. Her work bridges computational biology with clinical applications to improve breast cancer diagnosis and treatment. Dr. Varley earned her BS in Biology with a concentration in Computational Biology from Cornell University in 2003, followed by a PhD in Computational Biology from Washington University School of Medicine in 2009 under Dr. Robi Mitra. Her postdoctoral training was conducted in Dr. Richard M. Myers' laboratory at the HudsonAlpha Institute for Biotechnology, where she participated in the ENCODE Project Consortium. Her research focuses on using next-generation sequencing and computational analysis to study gene expression, transcription factor binding, and DNA methylation patterns in breast cancer. The Varley Lab investigates epigenetic gene regulation, develops novel molecular methods and bioinformatics approaches, and translates discoveries into clinical tools. Key research areas include Clinical Trial Genomics, Epigenome Engineering, Detecting Circulating Tumor DNA, and identifying Transcription Factors Driving Metastasis, with particular emphasis on triple-negative breast cancer. Analysis of Dr. Varley's publications reveals a consistent trajectory from fundamental genomic mechanisms to clinical translation, with recent work emphasizing biomarker discovery, tumor heterogeneity, and the development of genomic tools for precision oncology. Her research spans cancer biology, genomics, and computational analysis to address critical challenges in breast cancer treatment. Dr. Varley holds multiple patents related to cancer diagnostics and genomic technologies, including targeted sequencing methods, multigene assays for recurrence risk, and biomarkers for triple-negative breast cancer. These inventions reflect her commitment to translating basic research into clinical applications. She actively collaborates with clinical investigators in breast cancer trials and works closely with the Breast and Gynecologic Cancers Disease Center at Huntsman Cancer Institute. Her lab maintains four main research thrusts that collectively address breast cancer from molecular mechanisms to clinical applications, demonstrating a comprehensive approach to improving patient outcomes through genomic technologies.

Guillaume ChanfreauView profile

Professor

• RNA metabolism
• RNA splicing
• RNA decay pathways
• +5 more

Guillaume Chanfreau is a Professor in the Department of Chemistry and Biochemistry within the College of Letters and Science at the University of California Los Angeles (UCLA). His research focuses on fundamental mechanisms of RNA metabolism, with particular emphasis on RNA splicing, decay pathways, and ribonuclease functions. His work spans molecular biology, biochemistry, and genetics, utilizing yeast as a primary model organism to investigate conserved RNA processing mechanisms. Professor Chanfreau's research interests center on understanding how RNA processing pathways regulate gene expression. His work examines transcription termination, RNA splicing fidelity, RNA decay mechanisms, and the role of ribonucleases in cellular RNA homeostasis. He investigates how these processes are interconnected and how they respond to cellular stress conditions. His laboratory has made significant contributions to understanding how RNA quality control mechanisms prevent the accumulation of aberrant transcripts and maintain cellular health. Analysis of Chanfreau's recent publications (2020-2025) reveals a strong focus on RNA splicing mechanisms, RNA decay pathways, and ribonuclease functions. His work frequently employs yeast genetics combined with advanced RNA sequencing techniques. A notable trend is the increasing use of long-read sequencing technologies to analyze RNA isoforms and decay intermediates. His research consistently bridges fundamental molecular mechanisms with potential implications for understanding human diseases related to RNA processing defects. Professor Chanfreau has been continuously funded by the National Institutes of Health, with his current grant R35GM130370 (2019-2023) titled 'The Control of Gene Expression by Eukaryotic Ribonucleases' and previous long-term funding through R01GM061518 (2000-2019). His research program has supported numerous graduate students and postdoctoral researchers who have contributed to his extensive publication record spanning over two decades.

Nadya DimitrovaView profile

Assistant Professor

• Long Non-Coding RNAs
• Cancer Biology
• Molecular Biology
• +3 more

Nadya Dimitrova is an Assistant Professor in the Department of Molecular, Cellular, and Developmental Biology at Yale University, affiliated with the Yale School of Medicine. She holds secondary appointments in Genetics and is a member of multiple interdisciplinary centers, including the Center for RNA Science and Medicine. Her research focuses on long non-coding RNAs (lncRNAs) and their roles in cancer biology, particularly in tumor suppression and oncogenesis. Dimitrova earned her Sc.B. in Biochemistry from Brown University (2002), a Ph.D. from The Rockefeller University (2009), and completed postdoctoral training at MIT's Koch Institute. Notable awards include the HHMI Predoctoral Fellowship, Damon Runyon Postdoctoral Fellowship, and the 2023 Yale Cancer Center Class of '61 Award. Her lab explores lncRNA mechanisms using genomic and genetic tools, aiming to uncover their roles in cancer pathways. Recent work highlights lncRNAs' roles in metastasis, cardiac hypertrophy, and p53 signaling. Collaborations with researchers like Antariksh Tyagi and Clara Liao drive translational insights into RNA-based therapies. Education: Sc.B., Brown University (2002); Ph.D., The Rockefeller University (2009). Research interests include lncRNA regulation, cancer transcriptomics, and RNA-driven disease mechanisms. Her lab integrates systems biology approaches to dissect lncRNA functions in health and disease.

Wilfried HaertyView profile

Researcher

• Evolutionary Genomics
• Comparative Genomics
• Functional Non-Coding Sequences
• +7 more

Wilfried Haerty is a Senior Group Leader in Evolutionary Genomics at the University of East Anglia (UEA), affiliated with the School of Biological Sciences and the Norwich Institute for Healthy Aging. He also holds an external position as Senior Group Leader at the Earlham Institute since December 2015, reflecting his significant role in genomics research. Institution: University of East Anglia School: School of Biological Sciences External Affiliation: Earlham Institute Position: Senior Group Leader His academic background includes a Doctor of Science from Université de Paris, awarded in 2004, based on research into reproductive isolation in Drosophila melanogaster . Dr. Haerty's research focuses on evolutionary and comparative genomics, particularly the characterization of functional non-coding sequences and long non-coding RNAs in mammalian and human genomes. He investigates evolutionary constraints and selection pressures using population-level sequence variation data. His work integrates computational and genomic approaches to understand genome evolution across species. The recent trends in his publications highlight a strong focus on genome evolution, including hybridization in cichlid fishes, NUMT dynamics in mammals, fission yeast phylogenetics, avian developmental genomics, and evolutionary behavioral responses. These reflect interdisciplinary research spanning molecular evolution, genomics, developmental biology, and ecology. No scientific awards are explicitly mentioned in the provided text. There is no mention of student advising or research grants in the available information. However, his leadership role as a Group Leader suggests involvement in mentoring researchers and managing research projects. His collaborations span multiple institutions and countries, as indicated by co-authorship on recent studies. Dr. Haerty is associated with research teams at both the University of East Anglia and the Earlham Institute, particularly within genomics and evolutionary biology groups. His work is part of broader collaborative networks in evolutionary genomics and healthy aging, including the Norwich Institute for Healthy Aging.

Lars MaegdefesselView profile

Professor

• Vascular Biology
• Cardiovascular Disease
• Atherosclerosis
• +3 more

Prof. Lars Mägdefessel is a Professor of Vascular Biology at the Technical University of Munich (TUM), leading the Molecular Vascular Biology group within the TUM School of Medicine and Health. His research focuses on non-coding RNAs in vascular diseases, particularly atherosclerosis and aortic aneurysms, using translational approaches for molecular treatment discovery. He holds an MD from Johannes Gutenberg University (Mainz, Germany), completed cardiology clinical training, and postdoctoral research at Stanford University before joining TUM in 2016. Education: MD from Johannes Gutenberg University, Mainz Postdoctoral training at Stanford University, USA Assistant Professor at Karolinska Institute, Sweden Research Interests: Non-coding RNA regulation in vascular pathology Mechanisms of atherosclerotic plaque vulnerability Translational therapies for vascular diseases Advanced aortic aneurysm progression Awards include the ERC Consolidator Grant (2023), Russell Ross Award (2023), and Heisenberg Professorship (2016). His lab is supported by the German Center for Cardiovascular Research (DZHK).

Christopher S. SullivanView profile

Professor

• Virology
• Non-coding RNA Biology
• RNA Interference
• +5 more

Christopher S. Sullivan is a Professor in the Department of Molecular Biosciences within the College of Natural Sciences at the University of Texas at Austin. He directs an active research laboratory focused on viral non-coding RNA biology and host-pathogen interactions, with continuous funding evidenced by publications spanning 2005-2025. His work bridges molecular virology, immunology, and RNA biology through investigations of tumor viruses and host defense mechanisms. Research interests center on the role of non-coding RNAs in viral infection and host defense pathways, with particular emphasis on viral microRNAs , RNA interference mechanisms , and host-pathogen coevolution . His lab studies diverse virus families including Polyomaviridae, Herpesviridae, Retroviridae, and avipoxviruses, with key discoveries regarding viral miRNA functions in tumorigenesis and immune evasion. Research approaches integrate molecular virology, next-generation sequencing, and computational analysis to dissect RNA-based regulatory networks. Publications reveal consistent focus on viral non-coding RNA functions, particularly how viruses exploit host RNA machinery (notably DUSP11 phosphatase) to modulate immune responses. Recent work (2021-2025) expands into viral shedding dynamics, SARS-CoV-2 diagnostics, and circular RNA biology in polyomaviruses, demonstrating evolving yet cohesive research trajectory in RNA-virus interactions. Scientific contributions include: Pioneering identification of viral microRNAs across multiple virus families Discovery of DUSP11's critical role in RNA triphosphate regulation during infection Mechanistic insights into viral evasion of RNAi and innate immunity Development of novel RNA-based detection methods The Sullivan lab maintains active collaborations through the Center for Systems and Synthetic Biology, John Ring LaMontagne Center for Infectious Disease, and Interdisciplinary Life Sciences Graduate Programs. Lab culture emphasizes collective scientific inquiry with stated mission to 'increase understanding of pathogen-host interactions while enjoying the company of fellow lab members.' Current research directions include viral exploitation of RNA modification pathways and identification of novel host defense mechanisms using viruses as 'molecular divining rods.'

• Heart development and regeneration
• Zebrafish genetics
• Cardiac regeneration
• +7 more

Juan-Manuel González-Rosa is an Assistant Professor in the Department of Biology at Boston College, where he leads a research program focused on heart development and regeneration. He utilizes zebrafish as a model organism to investigate the molecular and cellular mechanisms that govern cardiac repair, with particular interest in fibrosis, inflammation, and polyploidy. Ph.D. in Molecular Biology, Spanish National Center for Cardiovascular Research and Universidad Autónoma de Madrid Postdoctoral training at Massachusetts General Hospital and Harvard Medical School Faculty member at Boston College since June 2019 His research centers on understanding why the human heart has limited regenerative capacity compared to zebrafish, which can fully regenerate their hearts after injury. His lab investigates how polyploidization in cardiomyocytes limits regeneration and aims to identify therapeutic targets for promoting heart repair after myocardial infarction. Using genetic tools and injury models in zebrafish, his team studies cardiac and liver regeneration, extracellular matrix dynamics, and molecular pathways of tissue repair. The recent publications reflect a strong trend in regenerative biology, particularly in modeling organ injury and repair in zebrafish. Key themes include the development of cryoinjury models for heart and liver, analysis of collagen dynamics in fibrotic remodeling, and the use of genetic tools like CRISPR for targeted cardiomyocyte manipulation. These studies span developmental biology, molecular cardiology, and translational regenerative medicine. Scientific awards and recognitions include: EMBO Long-Term Postdoctoral Fellowship Funds for Medical Discovery Award from ECOR-MGH American Heart Association Career Development Award Dr. González-Rosa has secured competitive funding to support his research program, enabling his lab to pursue fundamental questions in cardiac regeneration. While current information does not list specific advisees, his role as a principal investigator suggests active mentorship of graduate and undergraduate researchers. His work contributes to broader efforts in regenerative medicine and has implications for treating heart disease in humans. His lab is involved in developing and applying innovative zebrafish models for organ regeneration and transplantation research, positioning his team at the intersection of developmental biology, cardiovascular science, and biomedical innovation.

Rodrigo Fernandez GonzaloView profile

Associate Professor

• Physiology
• Skeletal Muscle Physiology
• Space Physiology
• +6 more

Rodrigo Fernandez Gonzalo is a Docent (Associate Professor) in Physiology and Principal Researcher at the Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet. He leads the Space and Environmental Physiology research group focusing on skeletal muscle adaptation under various conditions including microgravity, aging, disease, and exercise. His research interests span skeletal muscle physiology, space physiology, and environmental physiology, with particular expertise in how skeletal muscle interacts with other physiological systems. His work employs diverse methodologies including human clinical studies, animal models, and cellular models to investigate functional, metabolic, morphological, molecular, and neural adaptations. Analysis of his recent publications reveals a strong focus on space physiology applications, particularly how microgravity affects skeletal muscle and immune systems, along with translational applications for clinical populations like those with cerebral palsy. His research integrates molecular analysis, imaging techniques, and physical performance outcomes to develop countermeasures for spaceflight effects. 4.5 MSEK funding from the Swedish National Space Agency (2020) Member of European Space Agency's Life Science Working Group (2022-2026) Member of Space Researchers Sweden (2021-) Dr. Fernandez Gonzalo serves as course responsible for Anatomy and Physiology in the nursing program (since 2018) and Advanced Human Physiology Research in the Master's programme in Translational Physiology and Pharmacology (since 2023). He also teaches Human Spaceflight at KTH and participates in the Erasmus Mundus Joint Master in Physiology and Medicine of Humans in Space and Extreme Environments. His laboratory utilizes facilities at Karolinska University Hospital and ANA Futura for human, animal, and cellular studies investigating space exposome effects.

• RNA Biology
• Genomics
• Transcriptomics
• +5 more

Dr. Athma A Pai is an Associate Professor at UMass Chan Medical School, holding primary appointments in the RNA Therapeutics Institute and the T.H. Chan School of Medicine. She maintains extensive secondary appointments across multiple departments including Genomics and Computational Biology, Systems Biology, and several graduate programs at the Morningside Graduate School of Biomedical Sciences, reflecting the highly interdisciplinary nature of her work. Education: BS in Biochemistry/Anthropology from University of Pennsylvania PhD in Human Genetics from University of Chicago Postdoctoral training in RNA Genomics from MIT Dr. Pai's research program centers on RNA biology with particular emphasis on RNA processing, splicing mechanisms, and the regulation of gene expression. Her work investigates how environmental factors influence RNA processing through biochemical, molecular, and genetic mechanisms. She employs cutting-edge genomic and transcriptomic approaches to study alternative polyadenylation, mRNA transcript initiation and termination, and the spatial organization of RNA processing events within cells. Her research has significant implications for understanding fundamental gene regulation mechanisms and their roles in disease processes. Analysis of Dr. Pai's recent publications reveals a strong focus on developing high-resolution profiling methods for understanding transcriptional and translational regulation. Her work increasingly integrates computational approaches with experimental biology to investigate how RNA processing events are coordinated across the transcriptome. A notable trend is her exploration of how RNA processing contributes to inflammatory responses and cellular defense mechanisms, with implications for therapeutic development. Dr. Pai actively mentors students through multiple graduate programs at UMass Chan Medical School, including Biochemistry and Molecular Biotechnology, Biophysical Chemical and Computational Biology, Interdisciplinary Graduate Program, MD/PhD Program, RNA Therapeutics and Biology Program, and Systems Computational and Quantitative Biology. She maintains an active laboratory (Pai Lab) that welcomes postdoctoral researchers interested in RNA biology. Her laboratory website provides additional information about ongoing research projects and opportunities for collaboration and training, and she maintains a professional presence through her Twitter account (@athmapai).