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• Epigenetics
• Retroelements
• Transposable elements
• +5 more

Didier Trono is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), where he leads the Laboratory of Virology and Genetics (LVG) within the School of Life Sciences. Formerly, from 2004 to 2012, he served as the founding dean of EPFL's Faculty of Life Sciences, orchestrating its development and growth during this formative period. Trono received his medical education at the University of Geneva, followed by clinical training in pathology, internal medicine, and infectious diseases in Geneva and at Massachusetts General Hospital in Boston. His scientific career began at the Whitehead Institute of MIT, and in 1990 he was recruited by the Salk Institute of San Diego to launch an AIDS research center. After seven years in the United States, he returned to Europe and eventually joined EPFL. Dr. Trono's research has evolved significantly over his career. Initially focusing on virus-host interactions, he studied pathogens like HIV and Hepatitis B virus, creating HIV-derived genetic transfer tools that are now successfully used in gene therapy. For approximately the last fifteen years, his research has centered on epigenetics, particularly exploring the impact of retroelements and their control mechanisms on development and physiology of higher organisms, including humans. His laboratory investigates how transposable elements and KRAB zinc finger proteins regulate gene expression, with important implications for understanding cancer biology and developing new diagnostic and therapeutic approaches. Analysis of his recent publications (2022-2024) reveals a strong focus on transposable elements, KRAB zinc finger proteins, and their roles in gene regulation and cancer. His work combines molecular biology, genomics, and bioinformatics approaches to understand how these ancient viral remnants have been co-opted by the host genome to regulate development and cellular functions. The research spans basic molecular mechanisms to potential clinical applications in cancer diagnosis and therapy, with some recent work also addressing SARS-CoV-2 and immune responses. Throughout his career, Professor Trono has mentored numerous PhD students, including Bojkowska Karolina, Brandão Sanches Vong Martins Filipe Amândio, Bulliard Yannick, Coluccio Andrea, Corsinotti Andrea, Coudray Alexandre, De Tribolet-Hardy Jonas Caspar, and Dorschel Iris Arianna. His laboratory has received significant funding to support research at the intersection of virology, genetics, and epigenetics, contributing to EPFL's reputation as a leading institution in life sciences research. The Trono Laboratory continues to be at the forefront of research on retroelements and their regulatory mechanisms, maintaining a vibrant research environment that bridges fundamental biological questions with potential medical applications, particularly in cancer research and precision medicine.

Anthony CaterisanoView profile

Professor

• Exercise Physiology
• Resistance Training
• Sports Medicine
• +3 more

Anthony Caterisano is a Professor of Health Sciences at Furman University, with over 35 years of academic and athletic leadership. He holds a Ph.D., M.A., and B.S. from The University of Connecticut, SUNY, and UNC Chapel Hill. His research focuses on exercise physiology, resistance training, and sports medicine, with notable publications in journals like Medicine and Science in Sports and Exercise . Dr. Caterisano is a Fellow of the American College of Sports Medicine (FACSM) and has authored/co-authored books on football training and resistance techniques. He has served as wrestling coach at Furman, Spartanburg Methodist College, and currently coaches at Wade Hampton High School. As a competitive powerlifter, he has secured 16 South Carolina state titles, 10 national titles, and 10 world gold medals in masters-level competitions. His work bridges scientific research and practical application, with grants and presentations on topics like strength training methodologies and cardiovascular adaptations. Key contributions include studies on Tsunami Barbell training, metabolic responses to exercise, and core muscle engagement. His awards reflect both academic excellence and athletic achievement, while his grants and presentations underscore his commitment to advancing sports science.

• Uncertainty Quantification
• Scientific Machine Learning
• Stochastic Optimization
• +3 more

Hadi Meidani is a Clinical Associate Professor at the Carle Illinois College of Medicine , specifically within the Department of Biomedical and Translational Sciences at the University of Illinois at Urbana-Champaign . He teaches courses in Civil and Environmental Engineering, including topics like Systems Engineering & Economics , Machine Learning in CEE , and Uncertainty Quantification . Ph.D., Civil Engineering, University of Southern California (2012) M.S., Electrical Engineering, University of Southern California (2012) M.S., Structural Engineering, Sharif University of Technology (2005) B.S., Civil Engineering, K.N. Toosi University of Technology (2002) Dr. Meidani's research focuses on uncertainty quantification , scientific machine learning , and optimization under uncertainty for engineering systems. His work spans stochastic multiscale analysis , physics-informed machine learning , and model reduction techniques. His recent publications emphasize machine learning for infrastructure systems , graph neural networks , physics-informed models , and traffic assignment . Key trends include deep learning , multi-fidelity modeling , and neural operator transformers applied to metamaterial design , seismic reliability , and autonomous freight delivery .

Jillian BohlenView profile

Associate Professor

• Animal Reproduction
• Dairy Science
• Reproductive Management
• +5 more

Jillian Bohlen is an Associate Professor at the University of Georgia within the College of Agricultural & Environmental Sciences , specifically the Department of Animal and Dairy Science . Her work focuses on dairy cattle reproduction, teaching, and youth development in agricultural sciences. Education: B.S. in Dairy Science, University of Georgia (2003) M.S. in Dairy Science, University of Georgia (2005) Ph.D. in Animal Sciences, Clemson University (2012) Dr. Bohlen's research emphasizes applied reproduction in cattle , including synchronization techniques, ultrasound applications in reproductive programs, and embryo competency. She integrates students into all research projects despite lacking a formal research appointment. Her teaching interests span dairy cattle production , reproductive management , and contemporary agricultural issues , with courses like ADSC 3620 (Dairy Cattle Production), ADSC 4010 (Issues in Animal Agriculture), and ADSC 4410 (Applied Reproductive Management). Scientific awards include: Student Career Success Influencer Award (2024) Russell Award for Excellence in Undergraduate Teaching (2023) UGA Creative Teaching Award (2022) CAES Early Career Teaching Award (2022) Hoard's Dairyman Youth Development Award (2021) Larry Benyshek Teaching Award (2017) She actively promotes agricultural education through programs like the Commercial Heifer Project , Dairy Cattle Judging , and Dairy Quiz Bowl . Additionally, she participates in funded projects related to methane emissions , heat stress mitigation , and antibiotic alternatives in dairy farming.

Andre LevchenkoView profile

Professor

• Systems Biology
• Signal Transduction
• Cell Communication
• +5 more

Andre Levchenko is the John C. Malone Professor of Biomedical Engineering at Yale University, with secondary appointments in the Department of Neurosurgery and affiliations with the Cancer Signaling Networks, Immunology, and the Yale Program in Neurodevelopment and Regeneration. His research focuses on systems biology, signal transduction, and cell-cell communication, utilizing microfluidics and computational modeling to study cancer progression, stem cell behavior, and neurological disorders. PhD, Columbia University MEng, Moscow Institute of Physics and Technology Levchenko's work explores how cells process dynamic signals to make critical decisions, particularly in glioblastoma migration, organoid development, and cardiovascular tissue engineering. His lab develops innovative microfluidic platforms and mathematical models to dissect multicellular communication and signaling networks. Recent publications highlight his contributions to understanding YAP-driven cancer invasion , NOTCH signaling in angiogenesis , and metabolic regulation of hypoxia responses . He has pioneered methods for organoid modeling and single-cell analysis , advancing precision in biological signaling studies. Scientific Awards : Computational Molecular Biology Post-Doctoral Fellowship (Burroughs Wellcome Fund) National Academies Keck Futures Conference Invitee Distinguished Guest Lecturer, University of Virginia American Asthma Foundation Early Excellence Award Fellow, American Institute for Medical and Biological Engineering Levchenko leads the Levchenko Lab at the Yale Systems Biology Institute, collaborating with institutions like Mayo Clinic and Yale Cancer Center. His research has received recognition in Faculty of 1000 and multiple journal highlights.

Zongyi LiView profile

Research Fellow

• Machine Learning
• Scientific Computing
• Partial Differential Equations
• +5 more

Zongyi Li is a Research Fellow at Massachusetts Institute of Technology , hosted by Kaiming He. They are currently pursuing a Ph.D. in Computing and Mathematical Sciences at Caltech (2019-2025), mentored by Anima Anandkumar and Andrew Stuart. Ph.D. candidate: Computing and Mathematical Sciences, Caltech (2019-2025) B.Sc. in Computer Science and Mathematics with a Jazz minor from Washington University in St. Louis (2015-2019) They focus on Neural Operators for learning solution operators in Partial Differential Equations (PDEs) , particularly in fluid mechanics and earth science . Their work models physical simulations with chaotic behaviors and complex geometries, showing applications in weather forecasting , carbon storage , and aerodynamics simulation . Publications emphasize resolution-invariant models , chaotic systems , and zero-shot super-resolution capabilities. Their research combines Fourier analysis , graph networks , and physics-informed loss functions to achieve state-of-the-art performance in PDE solving with up to 1000x speedup over traditional solvers. Fellowships: Kortschak Scholarship PIMCO Fellowship Amazon AI4Science Fellowship Nvidia Fellowship MIT Novo Nordisk AI Fellowship Code & Open-Source: Co-developer of the NeuralOperator library Implementations for Fourier Neural Operators , Graph Neural Operators , and Tensorized Neural Operators Media Recognition: Quanta Magazine MIT Tech Review NVIDIA Features Towards Data Science

Kelly ArnoldView profile

Associate Professor

• Biomedical Computation and Modeling
• Drug Delivery and Therapeutics
• Systems Immunology
• +5 more

Kelly Arnold is an Associate Professor in the Department of Biomedical Engineering at the University of Michigan. Her research integrates systems engineering principles with immunology to investigate variability in immune responses across infection, vaccination, and injury, with a focus on computational modeling and clinical translation. Research Focus Systems-level immune response modeling Vaccination and antibody functionality Vaginal microbiome-host interactions Chronic lung disease progression Computational serology and proteomics Recent Work Her 2025 studies examine SARS-CoV-2 vaccination responses in cancer patients and computational frameworks for vaginal probiotics. Earlier works (2024-2007) span COPD progression, lupus fibrosis, HIV susceptibility, and tissue engineering for fertility preservation. Methodologies include proteomic profiling, network modeling, and microfluidic systems.

• Microbiology
• Infectious Diseases
• Cell Biology
• +7 more

Manuel R. Amieva is a Professor at Stanford University School of Medicine , holding joint appointments in Pediatrics - Infectious Diseases and Microbiology & Immunology . He is also a member of the Maternal & Child Health Research Institute (MCHRI) . His clinical practice at Stanford Medicine Children's Health focuses on pediatric infectious diseases. Education: Medical Education: Stanford University School of Medicine (1997) Fellowship: Stanford University Pediatric Infectious Disease Fellowship (2004) Internship & Residency: Stanford Health Care at Lucile Packard Children's Hospital (1998-1999) Dr. Amieva's research investigates host-pathogen interactions at epithelial barriers, with specific expertise in Helicobacter pylori , Listeria monocytogenes , Salmonella enterica , and Staphylococcus aureus . His lab develops innovative organoid culture systems with controlled polarity to study microbial colonization and oncogenic mechanisms. Key discoveries include: H. pylori's manipulation of epithelial junctions via the CagA protein Listeria's exploitation of cell extrusion sites for invasion Staphylococcus toxin interactions with adherens junctions Gastric stem cell activation by pathogens Recent publication trends show continued leadership in infectious disease mechanisms (2020-2025), with a focus on: Pathogen-specific epithelial breach strategies Organoid modeling of viral/bacterial interactions Redox-dependent host factor regulation Single-cell spatial transcriptomic analyses Multi-institutional educational frameworks His scientific collaborations span disciplines including: Gastric cancer genomics initiatives COVID-19 lung infection models Stem cell-microbe interactions Medical education reform projects Dr. Amieva maintains active clinical research while mentoring students in both the Microbiology & Immunology and Pediatrics programs. His lab at Stanford employs advanced 3D confocal microscopy and organ-on-a-chip technologies to visualize epithelial colonization dynamics.

Melody AlsakerView profile

Associate Professor

• Medical Imaging
• Applied Inverse Problems
• Mathematical Modeling
• +3 more

Melody Alsaker is an Associate Professor in the Department of Mathematics at Gonzaga University, where she has held this position since January 2016. Her research focuses on medical imaging and applied inverse problems, particularly in the field of electrical impedance tomography (EIT). She specializes in mathematical modeling, algorithm design, and biomedical image processing, with applications in pulmonary and thoracic imaging. Her work emphasizes improving EIT reconstruction techniques using the D-bar method, incorporating spatial priors, and developing real-time solutions for clinical applications. Notable contributions include the ACE1 EIT system for thoracic imaging and studies on stroke classification, air trapping in lungs, and surrogate measures of pulmonary function in children with cystic fibrosis. Alsaker's research bridges mathematics and engineering, addressing challenges in medical imaging accuracy and computational efficiency. Her collaborations span disciplines, including biomedical engineering, respiratory physiology, and clinical medicine.

• Optical Imaging
• Biomedical Engineering
• Medical Devices
• +3 more

Professor Robert McLaughlin is a faculty member in the School of Biomedicine at the University of Adelaide, affiliated with the Faculty of Health and Medical Sciences. He leads the Bioengineering Imaging Group and serves as Managing Director of the start-up Miniprobes. His research focuses on developing optical imaging technologies, including non-invasive tools for blood flow assessment and miniaturized imaging probes. He has secured over $14M in research grants and holds an h-index of 45 with 98 journal papers, 7 patents, and 2 book chapters. Prof. McLaughlin’s career includes roles at the University of Oxford and Siemens Medical Solutions, followed by academic leadership since 2007. His innovations span optical coherence tomography (OCT), fluorescence imaging, and dual-modality systems for clinical applications. Awards include the 2014 WA Innovator of the Year, 2015 Australian Innovation Challenge, and 2016 South Australian Premier’s Research Fellowship. His research emphasizes practical medical solutions, such as imaging needles for deep-tissue diagnostics and optical devices for real-time surgical monitoring. The Bioengineering Imaging Group collaborates with industry and academia to translate technologies into clinical practice.

Virgil PercecView profile

Professor

• Organic Chemistry
• Supramolecular Chemistry
• Nanotechnology
• +4 more

Virgil Percec is the P. Roy Vagelos Professor of Chemistry at the University of Pennsylvania, affiliated with the School of Arts & Sciences and the Department of Chemistry. His research focuses on organic, supramolecular, and macromolecular chemistry, with an emphasis on self-assembly, drug delivery systems, and biomimetic nanosystems. He holds a B.S. and Ph.D. from institutions in Jassy, Romania, and conducted postdoctoral research at the University of Freiburg and the University of Akron. Research Interests: Percec’s work integrates synthetic methods, catalysis, and structural biology to design functional nanosystems. Key areas include hierarchical folding, supramolecular chirality, and synthetic mimics of biological membranes. His lab explores mRNA delivery systems using Janus dendrimers and studies self-organized structures like helical columns and quasicrystals. Recent Articles: His recent publications highlight advancements in mRNA delivery mechanisms, supramolecular architectures, and polymer synthesis innovations. The group’s work often involves interdisciplinary collaborations, bridging chemistry, materials science, and bioengineering. Awards: Percec was elected a Foreign Member of the Academia Europaea (2020) and delivered the inaugural ACS Kavli Lecture (2011). His lab has trained numerous students and postdocs, including Juncheng Lu (Master’s Capstone Award recipient) and Devendra Maurya (SET-LRP research). Labs & Teams: The Percec Research Laboratory at Penn develops cutting-edge biomaterials and supramolecular systems. The group collaborates globally, with projects funded by grants exploring nanotechnology and drug delivery.

Carmen BergomView profile

Associate Professor

• Radiation Oncology
• Breast Cancer
• Tumor Microenvironment
• +5 more

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.

Jennifer A. SmithView profile

Associate Professor

• Genetic Epidemiology
• Epigenomics
• Aging
• +4 more

Jennifer A. Smith, PhD, MPH is an Associate Professor of Epidemiology and Research Associate Professor of Survey Research at the University of Michigan School of Public Health . She also serves as Director of the Certificate in Public Health Genetics and is Assistant Director of the Cohort Development working group for U-M Precision Health and the Michigan Genomics Initiative. Education: PhD, Epidemiology, University of Michigan (2011) MA, Statistics, University of Michigan (2009) MPH, Health Management and Policy, University of Michigan (2005) BS, Biological Sciences, Cornell University (2001) Research Interests: Dr. Smith is a genetic epidemiologist whose work lies at the intersection of genomics, epigenomics, and social epidemiology . She investigates how genetic, epigenetic, and transcriptomic variation influence age-related chronic diseases such as cardiovascular disease, hypertension, dementia, and cognitive decline. A major focus is understanding how social, psychosocial, and neighborhood determinants interact with genetic risk to shape socioeconomic and racial/ethnic health disparities . Research Projects: Her work leverages large, multi-ethnic cohorts including the Health and Retirement Study (HRS), GENOA, SWAN, MESA, and LASI. She is a core faculty member of the Center for Social Epidemiology and Population Health (CSEPH) , and affiliated with MiCDA, the Center for Midlife Science, and the PNG Program . She also collaborates with leading consortia such as CHARGE and TOPMed. Selected Trends in Publications: Her recent work (2022–2025) emphasizes epigenetic mediation of social determinants on cardiovascular and cognitive health, polygenic risk scores across diverse ancestries , and multi-omics integration in aging and disease. These studies consistently highlight how social environments and genetic architecture jointly influence health outcomes across populations. Contact: Email: smjenn@umich.edu Office: 734-615-9455 Address: 2631 SPH I, 1415 Washington Heights, Ann Arbor, MI 48109

Waldemar KolanusView profile

Professor

• Molecular Immunology
• Cell Signaling
• Signal Transduction Pathways
• +4 more

Prof. Waldemar Kolanus leads the Molecular Immunology and Cell Biology department at the University of Bonn's Life & Medical Sciences Institute (LIMES) . His research bridges immunoregulation , stem cell dynamics , and metabolic stress responses in immune cells. Unit 2 member at LIMES Principal investigator in SFB 704 and ImmunoSensation Cluster Leads a multidisciplinary lab with postdocs, PhD students, and technical staff His work focuses on intracellular signaling pathways connecting immune activation to tissue homeostasis, particularly through: Cytohesin proteins in integrin-mediated adhesion and migration TRIM71 in stem cell regulation and congenital hydrocephalus High-salt environments affecting macrophage function Publication trends show expertise in immune cell migration , genetic models , and chemical inhibition , with frequent use of mice and zebrafish for in vivo studies. Key articles explore: TRIM71's dual role in auditory development and germ cell maintenance Cytohesin family's Golgi regulation and insulin signaling Ruxolitinib's off-target migration inhibition of dendritic cells Contact details: Address: LIMES Institute, Carl-Troll-Straße 31, Bonn Email: kolanus.sekretariat@uni-bonn.de Phone: +49 228 73-62788

• Medical Imaging
• Computed Tomography
• Inverse Problems
• +3 more

Dr. Owen Dillon is a Research Fellow in the Discipline of Medical Imaging Sciences at the University of Sydney's Faculty of Medicine and Health. He holds affiliations with the ACRF Image X Institute and the Dodd-Walls Centre for Photonic and Quantum Technologies. His work focuses on advanced imaging techniques for medical applications, particularly computed tomography (CT) and motion compensation in radiation therapy. He completed his PhD in Mathematics at the University of Auckland, specializing in probabilistic compression algorithms for inverse problems. Education: B.Sc. Physics & Applied Mathematics (2013, University of Auckland), First Class Honours in Mathematics (2015), PhD Mathematics (2018). Research interests include inverse problems, Bayesian statistics, CT image reconstruction, and real-time imaging systems. Current projects involve optimizing CT acquisition geometries, motion-compensated 4D imaging, and anatomical motion estimation. His contributions have led to clinical trials reducing radiation dose and scan times. He advises two PhD students and collaborates on grants like the Quantum CT project. Grants: 'Quantum CT for Cancer Diagnosis' (2024), 'Functional Imaging in Lung Cancer' (2024). His work bridges mathematical theory with clinical applications in oncology and interventional radiology.