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Hugues AschardView profile

Researcher

• Statistical Genetics
• Genome-Wide Association Studies (GWAS)
• Microbiome Research
• +7 more

Hugues Aschard is a Principal Investigator and Structure Manager at the Pasteur Institute in Paris, where he leads research in statistical genetics, microbiome analysis, and computational genomics. He is the principal investigator of the MicMat project, the EpiGenCOV Consortium, and several bioinformatics software initiatives including JASS, RAISS, and MGMM. Research Interests: Statistical and computational methods in genetics Genome-wide association studies (GWAS) Gene-environment interactions Microbiome and host genetics in inflammatory bowel disease Genetic epidemiology of infectious diseases like COVID-19 Development of open-source tools for multi-trait and summary-statistic analysis Recent Research Trends: His recent publications and projects emphasize integrative genetic modeling, multi-trait analysis across diverse populations, and the development of novel computational methods to handle missing data and improve SNP discovery. His work bridges statistical innovation with biological and clinical applications in complex diseases. Scientific Contributions: Development of JASS, RAISS, and MGMM software tools Leadership in large-scale consortia like EpiGenCOV Advancing methods for cross-ancestry genetic studies Advising and Collaboration: He supervises multiple PhD students and postdoctoral fellows, including Christophe Boetto, Antoine Auvergne, and Lucas Chataigner. He collaborates with major institutions such as APHP and CNRGH. His team includes research engineers and administrative staff, indicating an active and well-supported research group. Laboratories and Teams: He is a key member of the Biomaterials and Microfluidics team at the Pasteur Institute, where he contributes to interdisciplinary research involving Bayesian decision processes and genetic modeling.

• Bioprocess Engineering
• Industrial Biotechnology
• Downstream Processing
• +11 more

Alois Jungbauer is a full Professor and Head of the Institute of Biochemical Engineering at the University of Natural Resources and Life Sciences Vienna (BOKU), within the Department für Biotechnologie und Lebensmittelwissenschaften. He is a leading expert in bioprocess engineering, with a focus on downstream processing, continuous manufacturing, and sustainable biopharmaceutical production. Doctorate, University of Natural Resources and Life Sciences Vienna Habilitation, 1991 His research interests center on advanced purification technologies for biologics, including monoclonal antibodies, viral vectors, virus-like particles (VLPs), and gene therapy products. He is a pioneer in continuous integrated biomanufacturing, real-time process monitoring, and the development of platform processes for non-mAb proteins. His work integrates computational modeling, digital twins, and process intensification to improve efficiency and reduce environmental impact. He has made significant contributions to affinity chromatography, membrane adsorbers, and non-chromatographic separation methods. Recent publications highlight trends in continuous downstream processing, water conservation, in-situ buffer preparation, and the purification of complex biomolecules like secretory IgA and VLPs. His work spans both fundamental biophysical studies and industrial applications, reflecting a strong industry-academia interface. His scientific awards include: ISMR Thermo Fischer Award for Affinity Technologies (2011) Bia Separations Award (2000) Fulbright Award, Austrian-American Fulbright Commission (1996) Award of Japanese Society for Promotion of Science (1994) Golden Award 93 Professor Jungbauer actively supervises university theses and leads a dynamic research group. He has delivered numerous lectures and keynotes worldwide, indicating active engagement in knowledge transfer. His research is supported by ongoing projects and collaborations, with a strong emphasis on environmental and economic modeling of bioprocesses. He is affiliated with the Institute of Biochemical Engineering at BOKU, a hub for innovation in bioprocessing and industrial biotechnology.

James C. GeeView profile

Professor

• Biomedical Image Analysis
• Medical Imaging Computing
• Image Segmentation
• +5 more

James C. Gee is a Professor of Radiologic Science in Radiology at the University of Pennsylvania's Perelman School of Medicine. He serves as Director of the Penn Image Computing and Science Laboratory and Co-Director of the Translational Biomedical Imaging Center , with affiliations in Bioengineering and Applied Mathematics graduate groups. His research focuses on biomedical image analysis, specialization in segmentation, registration, and morphometry applied to neurodegenerative diseases and multi-organ systems. Education : B.S. in Computer Science/Electrical Engineering (University of Washington, 1987), Ph.D. in Computer and Information Science (University of Pennsylvania, 1996) Research : Quantitative medical imaging methods, brain connectomics, neurodegeneration mapping, and translational imaging technologies Publications : 15+ recent works on AI-driven image analysis for Alzheimer's disease, cardiac amyloidosis, and radiomics applications Leadership : Directs MSE-DS Online Degree Program, co-chairs Radiology DCOAP Committee, and founded RISE (Radiology Initiative to Support Inclusive Excellence) His laboratory develops advanced computational tools like ITK-SNAP for biomedical imaging, with applications in both in vivo clinical imaging and ex vivo histology . The work spans cross-disciplinary collaborations in computer science, neuroscience, and clinical medicine.

George E. VatesView profile

Professor

• Neurosurgery
• Pituitary Tumors
• Neuroendocrinology
• +3 more

George E. Vates, MD, PhD, is a Professor in the Department of Neurosurgery and the Department of Medicine (Endocrine/Metabolism) at the University of Rochester Medical Center. He serves as neurosurgeon co-director of the University of Rochester Multidisciplinary Neuroendocrinology Clinic and is a key member of the University of Rochester Medical Faculty Group (URMFG), which comprises over 900 providers across 19 departments. Dr. Vates specializes in pituitary tumor surgery, cerebrovascular disorders, and skull base procedures, having performed over 120 transsphenoidal pituitary surgeries. Dr. Vates completed his academic training with exceptional distinction: Duke University: Bachelor's degree, summa cum laude (1988, Phi Beta Kappa) Rockefeller University: PhD in Neuroscience Weill Medical College of Cornell University: MD (1997, Alpha Omega Alpha) University of California, San Francisco: Neurosurgery Residency (1998-2003) Brigham and Women's Hospital, Harvard Medical School: Cerebrovascular/Skull Base Fellowship (2003-2004) His research focuses on pituitary tumor biology, neuroendocrinology, and surgical innovation. He established the Multidisciplinary Neuroendocrinology Clinic as a regional referral center for complex pituitary cases, integrating neurosurgical and endocrinological expertise. Current work emphasizes neuroprotective mechanisms in pituitary adenomas, surgical simulation technology, and optimizing outcomes for elderly glioma patients. Analysis of his 15 most recent publications reveals evolving research trajectories: contemporary studies (2019-2022) concentrate on pituitary tumor management, surgical simulation, and neurosurgical education, while earlier work (2002-2009) explored cerebrovascular anomalies, neural pathway mapping, and vascular malformations. Persistent themes include surgical technique refinement, tumor biology, and clinician training. Dr. Vates' scientific contributions have been recognized through: Phi Beta Kappa (1988) and Alpha Omega Alpha (1991) academic honors Neurosurgery Research and Education Foundation Fellowship (2006) Anspach Award for Cerebral Ischemia Research (2007) AANS Leadership Scholarship and Cone Pevehouse Award (2009) Ongoing service as St. Michael's Hospital Animal Care Committee reviewer As an educator, he mentors neurosurgery residents through clinical supervision and curriculum development, notably publishing on palliative care communication training. His research initiatives, including the 3D-printed cervical laminectomy simulator, demonstrate commitment to advancing surgical education. Current grants focus on neuroprotective strategies in pituitary tumors and resident training methodologies. Dr. Vates co-directs the Multidisciplinary Neuroendocrinology Clinic with endocrinologist Dr. Calvi, fostering collaboration between neurosurgery, endocrinology, and oncology. His clinical team manages complex pituitary cases across Rochester and Hornell campuses, while his research group develops surgical innovations and investigates tumor microenvironment interactions to improve patient outcomes.

• Proteomics
• Microbiology
• Genetic Engineering
• +5 more

Dr. Kaveh Emami is a researcher at Newcastle University , specializing in proteomics, microbiology, and biotechnology. His work spans plant biotechnology, bacterial adhesion, and marine microbiology. Key research areas: Proteomics, Microbial Genetics, Plant Biochemistry, and Environmental Microbiology. Collaborated on studies involving rice mutants, barnacle adhesion, antibiotic discovery, and algal-bacterial interactions. His recent publications (2023–2009) focus on proteomic analysis, bacterial pathways, and applications in agricultural and marine biotechnology. No explicit scientific awards are documented in the provided data. Co-authored studies with Professor Angharad MR Gatehouse , Professor Tony Clare , and Professor Jeff Errington highlight his interdisciplinary collaborations.

Xiaoning QianView profile

Professor

• machine learning
• Bayesian methods
• optimal experimental design
• +5 more

Xiaoning Qian is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, where he also serves on the Faculty Advisory Committee for the Texas A&M Institute of Data Science (TAMIDS) and the Executive Committee for the Texas A&M TRIPODS Research Institute for Foundations of Interdisciplinary Data Science (FIDS). He holds a joint appointment in the Applied Math group within the Computational Science Initiative at Brookhaven National Laboratory (BNL). Previously, he was an Associate Professor (2018-2022) and Assistant Professor (2013-2018) at Texas A&M, and an Assistant Professor in the Department of Computer Science and Engineering at the University of South Florida (2009-2013). Dr. Qian received his B.S.E. and M.S.E. degrees from Shanghai Jiaotong University, China, and his M.Ph. and Ph.D. degrees in Electrical Engineering from Yale University. Dr. Qian's research focuses on developing mathematical models and computational algorithms in signal processing, machine learning, and Bayesian methods, particularly in learning, uncertainty quantification, and experimental design. His work spans multiple disciplines, with applications in life sciences and materials science. His research group, the Biomedical Imaging, Sensing, and Genomic Signal Processing Group, actively applies probabilistic models and optimization algorithms to solve complex problems in interdisciplinary domains. His research has evolved from foundational work in bioinformatics and biomedical image processing to more recent applications in materials science and broader AI for science initiatives. Dr. Qian has received numerous scientific awards and recognitions including: National Science Foundation (NSF) CAREER Award Segers Family Dean's Excellence Professorship II in the College of Engineering TEES (Texas A&M Engineering Experiment Station) Senior Faculty Fellow Montague-Center for Teaching Excellence Scholar J. T. Oden Faculty Fellow at the University of Texas, Austin Finalist of the 2023 INFORMS QSR Best Paper Faculty Impact Fellow from the Department of Electrical & Computer Engineering As an advisor , Dr. Qian has mentored numerous graduate students through their PhD and MS programs, with many of his alumni securing positions at prestigious institutions and companies including NIH/NCBI, Microsoft, Baidu Research Lab, and Qualcomm. His research has been supported by multiple grants, including an NSF CAREER award and collaborative research funding from the Information Integration and Informatics program. He is actively recruiting postdoc and graduate student research assistants for projects in machine learning and optimization methods with applications in bioinformatics and materials science. Dr. Qian is involved with several research initiatives including the Objective-Based Uncertainty Quantification (ObjectiveUQ) project, which provides a mathematical framework for integrating prior knowledge and data while enabling effective operational and experimental design under uncertainty. He also co-organizes the Bio-Seminar series for the Biomedical Imaging, Sensing & Genomic Signal Processing group at Texas A&M.

Sunny K. BoydView profile

Professor

• Behavioral Neuroendocrinology
• Neuroscience & Behavior
• Animal Behavior
• +13 more

Sunny K. Boyd is a Professor in the Department of Biological Sciences at the University of Notre Dame, where she has served since 1987. She also held significant administrative roles, including Associate Vice President for Research (2009–2013) and Director of Graduate Studies (2008–2013). Her research integrates neuroscience, endocrinology, and computational modeling to understand the chemical regulation of animal behavior. Her educational background includes: A.B. in Biology, Princeton University (1981) M.S. in Behavioral Endocrinology, Oregon State University (1984) Ph.D. in Neuroendocrinology, Oregon State University (1987) Dr. Boyd’s research focuses on the interactions of neuropeptides, neurotransmitters, and neurosteroids in controlling social behaviors, particularly in amphibians. Her lab employs a multi-level approach—spanning molecular, cellular, organismal, and computational levels—to investigate mechanisms from synapses to social interactions. Key interests include GABAergic signaling, neurosteroid modulation, and the role of vasotocin in vocal and reproductive behaviors. Her recent publications reflect a strong trend in integrating computational models with empirical data, especially using agent-based simulations to explore mate choice, aggression, and spatial behavior. These studies bridge neuroscience and behavioral ecology, offering insights into both animal and potential human social behaviors. She has received notable scientific recognition, including: Joyce Award for Excellence in Undergraduate Teaching (2007, 1999) Kaneb Faculty Fellow (2003–2004) Editorial roles for General and Comparative Endocrinology and Hormones and Behavior Service on NSF, NIH, and American Heart Association review panels Dr. Boyd is actively involved in mentoring and training students at all levels. She has advised multiple graduate students and currently leads a vibrant research team. Her lab is supported by grants from the National Science Foundation (NSF), National Institutes of Health (NIH), and U.S. Forest Service. She emphasizes interdisciplinary collaboration, notably with computer scientists on modeling projects. She also teaches courses in neuroscience, physiology, and scientific writing, with a focus on training future health professionals. The Boyd Lab operates at the intersection of experimental and synthetic approaches, combining wet-lab neuroscience with computational modeling. Current projects include: Peptide control of vocalization in amphibians GABA and neurosteroid interactions in neural circuits Agent-based modeling of mate choice and social behavior The lab fosters collaboration across biology, psychology, engineering, and computer science, maintaining an interdisciplinary and innovative research environment.

• Tissue Engineering
• Cardiovascular Regeneration
• Mechanobiology
• +3 more

Prof. Carlijn V.C. Bouten is Full Professor of Cell-Matrix Interactions in Cardiovascular Regeneration at Eindhoven University of Technology (TU/e), where she heads the Soft Tissue Engineering & Mechanobiology research group in the Department of Biomedical Engineering. She leads a team of ~40 researchers focusing on cardiovascular tissue regeneration through interdisciplinary approaches. Her research investigates mechanobiological interactions between cells and extracellular environments during tissue growth/regeneration, using multi-scale living model systems. Key innovations include biodegradable heart valve prostheses, hybrid implantable organs, and remote cardiac tissue engineering concepts. She collaborates with material scientists, clinicians, and medtech companies. Education includes an MSc in Functional Anatomy and Biomechanics (Vrije Universiteit Amsterdam, 1991) and PhD (TU/e, 1995), with postdoctoral training at Université Laval and University of London. Her 300+ publications focus on: Cardiovascular tissue engineering Cell-matrix mechanobiology In vitro tissue models Biodegradable implants Hybrid organ development Major scientific honors: ERC Advanced Grant (2022) VICI Grant (2003) Aspasia Career Development Award Coordinator of €18.8M Gravitation Programme Elected member of KNAW and AcademiaNet She leads multiple consortia including RegMed-XB's Cardiac Moonshot and international programs like FET-OPEN 'Hybrid Heart'. Heads TU/e's Soft Tissue Engineering & Mechanobiology lab developing advanced biomaterials and tissue models.

Marco PaggiView profile

Professor

• Fracture mechanics
• Contact mechanics
• Computational methods for nonlinear partial differential equations
• +15 more

Marco Paggi is a Full Professor of Structural Mechanics at the IMT School for Advanced Studies Lucca, Italy, since 2017. He previously held academic roles at Politecnico di Torino (Assistant Professor, 2007-2013) and has been an Alexander von Humboldt Fellow at Leibniz University Hannover. His research focuses on fracture mechanics, contact mechanics, and computational methods applied to renewable energy systems, composite materials, and multi-scale modeling. Key Themes: Fracture propagation, contact interfaces, phase field modeling, photovoltaic durability, and material heterogeneity. Awards: Stanford Top 2% Scientists (2020-2024) Research.com Top Scientists (2022-2024) European Structural Integrity Society Young Scientist Award (2010) Publications: His work spans tribology, computational fracture mechanics, and material degradation, with recent emphasis on phase field modeling for quasi-brittle materials and photovoltaic systems. He has pioneered methods for multi-scale and multi-physics analysis of structural systems. Mentorship: Supervised 17 PhD graduates and 14 postdocs, including award-winning researchers like Pietro Lenarda and Zeng Liu.

Andrew SchulerView profile

Associate Professor

• Environmental Engineering
• Microbial Ecology
• Biological Wastewater Treatment
• +4 more

Andrew J. Schuler is an Associate Professor in the Department of Civil Engineering at the University of New Mexico, where he has been since 2007. His research focuses on microbial processes in wastewater treatment and bioremediation, with particular emphasis on modeling distributed bacterial states, biofilm dynamics, and integrating molecular methods with environmental engineering. He teaches courses in water/wastewater treatment (CE 335) and biological wastewater treatment (CE 536). Ph.D., Civil and Environmental Engineering, University of California at Berkeley (1998) M.S., Civil and Environmental Engineering, UC Berkeley (1993) B.S., Civil Engineering, University of Colorado at Boulder (1987) Dr. Schuler's research addresses critical challenges in biological wastewater treatment , including: Microbial storage products and density effects on solids separation Agent-based modeling of bacterial state distributions Integrated fixed-film activated sludge (IFAS) systems Photolytic and microbial degradation of Superfund chemicals His recent publications explore biofilm surface chemistry , algae-based wastewater treatment , and computational modeling of microbial communities . Notable funded projects include NSF CAREER grants, NIEHS Superfund subprojects, and North Carolina Biotechnology Center collaborations. National Science Foundation CAREER Award (2004) Paul L. Busch Award (2008) AEESP/CH2M HILL Outstanding Doctoral Dissertation Award (1999) Japan Society for the Promotion of Science Postdoctoral Fellowship (1999) Dr. Schuler leads the Schuler Laboratory , which investigates microbial dynamics in wastewater treatment systems, develops the DisSimulator agent-based modeling tool, and provides practical solutions for activated sludge settling problems through density analysis. Current funding supports advanced research in biofilm optimization and sustainable water reuse technologies.

Henry T. GreelyView profile

Professor

• Bioethics
• Neuroscience
• Genetics
• +5 more

Henry T. Greely is the Deane F. and Kate Edelman Johnson Professor of Law and Professor (by courtesy) of Genetics at Stanford University . He serves on multiple administrative and advisory roles, including Director of the Stanford Center for Law and the Biosciences and Chair of the Stanford Center for Biomedical Ethics. His work bridges bioethics , neuroscience , genetics , and public policy , focusing on the ethical, legal, and societal impacts of emerging biosciences. Education: JD from Yale Law School (1977), AB in Political Science from Stanford University (1974) Key Research Areas: Neuroethics (predictive neuroscience, mind-reading, cognitive enhancement) Genetic Ethics (prenatal testing, genomic biobanks, whole genome sequencing) Stem Cell Law (chimeras, regulatory challenges) Affiliations: Bio-X Faculty Wu Tsai Neurosciences Institute Institute for Human-Centered AI His recent publications address AI misuse in biomedicine, human embryo editing, and cross-cultural chimeric research ethics. Awards include AAAS Fellow (2007) and the Richard M. Lyman Award (2013).

• Control and Systems Engineering
• Automotive Engineering
• Model Predictive Control
• +10 more

Massimo Canale is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino , and a member of the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His academic career spans over two decades, focusing on control systems engineering with applications in automotive technology. Scientific Branch: Systems and Control Engineering (IINF-04/A) ERC Sectors: Automotive Engineering, Control Engineering, Control Theory Dr. Canale's research bridges theoretical advancements in Model Predictive Control (MPC) with practical applications in autonomous vehicles , hybrid/electric propulsion , and active suspension systems . His work integrates reinforcement learning and dynamic programming for optimizing vehicle performance and energy efficiency. Recent publications demonstrate trends in autonomous driving architectures (2024), sliding mode control for highway scenarios (2024), and energy management for sustainable mobility (2023-2024). He has developed patented solutions for semi-active suspension control and autonomous vehicle guidance. Award: IEEE Transactions on Control Systems Technology Outstanding Paper Award (2011) Editorial Roles: Associate Editor, IEEE Open Journal of Control Systems (2022–present) Dr. Canale supervises PhD students like Francesco Cerrito and teaches courses on digital control technologies , automatic control , and reinforcement learning at Politecnico di Torino. His research is funded through competitive grants (e.g., MPC4AVP 2021-2022) and commercial contracts (AD Shuttle 2024).

Koenraad MuylaertView profile

Professor

• Microalgae Ecology
• Phytoplankton Physiology
• Eutrophication
• +7 more

Koenraad Muylaert is a Full Professor at the Faculty of Science, KU Leuven, and head of the Biology department at KU Leuven Kulak. His research focuses on microalgae ecology and phytoplankton physiology , with applications in eutrophication studies , wastewater treatment , and biofuel production . Based in Kortrijk, Belgium, he works with international teams in Ecuador, Qatar, and Belgium. Current projects on mountain lake eutrophication and urban aquatic systems Specializes in nano-material flocculation and omega-3 fatty acid production from microalgae Research Trends from his recent articles show emphasis on: Microalgae harvesting innovations (cellulose nanocrystals, PDMAEMA polymers) Comparative processing techniques (DAF vs sedimentation, drying methods) Biotechnological applications in flavor chemistry and microbiome interactions Laboratory operates at KU Leuven's Kortrijk campus, with strong collaborations in environmental engineering and food science . His work bridges fundamental ecological research with industrial biotechnology for sustainable solutions.

• Genome Integrity
• Structural Molecular Biology
• CRISPR-Cas Systems
• +3 more

Professor Guillermo Montoya is a Research Director and Group Leader at the Protein Structure & Function Program of the Novo Nordisk Foundation Center for Protein Research (CPR), University of Copenhagen, Denmark. His work focuses on unraveling cellular mechanisms at the atomic level through advanced methodologies including X-ray crystallography and cryo-electron microscopy. PhD in Chemistry, University of Zaragoza (1989–1993) MSc in Biochemistry, University of the Basque Country (1984–1989) Montoya's research spans Structural Molecular Biology and Genome Integrity , with specific emphasis on: Activation mechanisms of oligomeric kinases CRISPR-Cas12a conformational dynamics Macromolecular complexes in telomere maintenance His publications reveal significant contributions to CRISPR-Cas systems , kinase activation , and DNA/RNA degradation mechanisms . Scientific Awards: EMBO Member (2018) Spanish National Prize in Biomedicine (2009) Multiple Fellowships (EMBO, Marie Curie, FEBS, Marie Curie) Montoya's group integrates structural biology with cell biology to address fundamental questions in genome stability and biomedical applications. His work has been cited over 188 times for studies on CRISPR-Cas endonucleases and has attracted attention from 41 patents.

Alejandro VillaverdeView profile

Research Professor

• Systems Biology
• Control Theory
• Mathematical Modeling
• +5 more

Alejandro F. Villaverde is a Ramón y Cajal research fellow in the Department of Systems & Control Engineering at the School of Industrial Engineering, University of Vigo, Spain. He also serves as a Research fellow at CITMAga since 2022. Previously, he worked as a postdoctoral researcher at IIM-CSIC from 2016-2020. His research focuses on the modeling of dynamical systems with particular emphasis on biological applications. Villaverde earned his PhD in Systems and Control Engineering from University of Vigo between 2005 and 2009. His academic career has centered at Spanish institutions with a strong interdisciplinary approach bridging engineering, mathematics, and biology. His primary research interests include systems biology, control theory, and mathematical modeling, with specialized expertise in structural identifiability, observability analysis, and computational tools for dynamic modeling of biological systems. Villaverde's work addresses fundamental challenges in building reliable mathematical models of complex biological processes, with applications spanning immunology to microbial communities. His theoretical contributions have practical implications for improving model reliability and predictive power in biological research. Villaverde has published extensively in top journals including PLOS Computational Biology, Bioinformatics, and IEEE/ACM Transactions on Computational Biology. His recent publications (2023-2025) reveal a consistent research trajectory focused on developing theoretical frameworks for biological model analysis, creating practical software tools, and applying these methods to cutting-edge problems. His work shows particular strength in identifying and addressing fundamental limitations in modeling approaches, especially regarding parameter identifiability and model observability constraints. Among the top 2% Scientists Worldwide 2024 (Stanford University list) Recognition as one of the EEI's top valued instructors at University of Vigo's School of Industrial Engineering Villaverde leads multiple significant research projects including DYNAMO-bio (funded by Ministry of Science, Innovation and Universities), SICOMORO (focusing on symmetries in biological communities), and PREDYCTBIO. His group actively develops open-source software tools such as STRIKE-GOLDD for structural identifiability and observability analysis. The laboratory, part of the BICO research group, includes several researchers and students working on various aspects of dynamic modeling in biology, with recent additions including Mahmoud Shams Falavarjani, Adriana González Vázquez, and multiple interns working on specialized projects.