جست‌وجوی استاد و پژوهشگر

Kristina Schoonjansمشاهده پروفایل

دانشیار

• Bile acid signaling
• Nutrient sensing
• Intermediary metabolism
• +۱۱ مورد دیگر

Kristina Schoonjans is an Associate Professor at EPFL’s School of Life Sciences, where she leads the Laboratory of Metabolic Signaling (UPSCHOONJANS). Her research focuses on the molecular mechanisms of bile acid signaling, nutrient sensing, and intermediary metabolism, particularly in the context of metabolic disorders such as obesity, fatty liver disease, and cancer. She investigates how the liver-gut-brain axis integrates metabolic signals through nuclear receptors and mitochondrial dynamics. Her research interests include: Bile acid signaling and its role as a hormonal regulator Nutrient and metabolite sensing in energy homeostasis Intermediary metabolism and metabolic disorders Role of nuclear receptors (e.g., TGR5, LRH-1) in liver, gut, and adipose tissue Mitochondrial dynamics and fission in metabolic regulation Organoid models for studying liver and intestinal metabolism Systems genetics using BXD mouse populations The most recent articles highlight a strong focus on bile acid signaling, particularly through TGR5 and LRH-1, in regulating metabolic health. Themes include the conversion of white fat to beige fat (beiging), hepatic tumorigenesis, mitochondrial fission, and the use of organoid and genetically engineered mouse models. There is a consistent emphasis on translational applications for obesity, fatty liver disease, and cancer. Scientific honors include: Windaus Prize from the Dr. Falk Foundation (2010, shared with Johan Auwerx) for the discovery of the signaling/endocrine function of bile acids Prof. Schoonjans actively supervises PhD students and has advised numerous doctoral candidates who have since completed their theses. Her lab is supported by multiple grants from Swiss and international funding agencies, including the Swiss National Science Foundation, EPFL, CONACYT, and the Foundation for Health and Education. She teaches in several doctoral programs at EPFL, including Life Sciences Engineering, and contributes to education through the SSV and EDBB/EDCB/EDMS-ENS programs. The Schoonjans Lab brings together scientists, doctoral assistants, and technicians working on projects related to metabolic signaling. The team uses advanced techniques such as genetically modified mouse models, organoid cultures, and multi-omics (metabolomics, proteomics, transcriptomics) to study the liver-gut and brain-liver axes. The lab has a strong track record of high-impact publications and collaborations with institutions worldwide.

Xenophon Papademetrisمشاهده پروفایل

استاد

• Medical Image Analysis
• Machine Learning
• Biomedical Software Development
• +۷ مورد دیگر

Xenophon Papademetris is a Professor of Biomedical Informatics & Data Science and Radiology & Biomedical Imaging at Yale School of Medicine. He serves as Associate Director of Biomedical Imaging Data Sciences at Yale Biomedical Imaging Institute and directs the Medical Software and Medical Artificial Intelligence Certificate Program. PhD in Electrical and Information Sciences from Yale University (2000) BA from Cambridge University (1994) Postdoctoral Fellowship at Yale University (2002) His research focuses on medical image analysis, machine learning, and biomedical software development. He has developed tools like BioImage Suite Web and contributed to standards committees at the Association for the Advancement of Medical Instrumentation (AAMI). His work spans modalities including MRI, CT, PET, and optical imaging. Recent publications emphasize neuroimaging analysis, explainable AI in healthcare, and multimodal data integration across species. He leads NIH-funded research under the BRAIN Initiative (R24 MH114805) and has authored a textbook on Medical Software published by Cambridge University Press. IEEE Senior Member Yale Brown-Coxe Postdoctoral Fellowship Harding Bliss Prize for Excellence in Engineering He directs the BioImage Suite Project, creating web-based image analysis tools using JavaScript and WebAssembly. His teaching includes both academic courses and a Coursera program on Medical Software with over 14,000 enrollments.

Amy Catherine Rowatمشاهده پروفایل

استاد

• Mechanobiology
• Cancer biophysics
• Single-cell mechanics
• +۶ مورد دیگر

Amy Catherine Rowat is a full Professor in the Department of Integrative Biology and Physiology at UCLA's College of Letters and Science. She directs an interdisciplinary research program that integrates mechanobiology, microfluidics, cancer biophysics and food engineering to understand how physical forces shape cell behavior and to develop sustainable biotechnologies. Education & Affiliations: Professor, Department of Integrative Biology and Physiology, UCLA Member, UCLA College of Letters and Science Research Interests: Rowat's group deciphers how mechanical properties of cells and their nuclei influence disease progression and therapeutic response. Using high-throughput microfluidic deformability cytometry, her team discovered that cancer cells become stiffer and more invasive upon β-adrenergic signaling, linking stress hormones to metastatic potential. Parallel efforts focus on nuclear envelope mechanics, showing that histone H1.0 and transient nuclear deformation modulate chromatin structure and cell reprogramming. Beyond biomedicine, Rowat pioneers biophysical approaches for sustainable food production. She engineers edible scaffolds and emulsion-templated microcarriers to culture meat at scale, demonstrating spontaneous fusion of adipogenic and myogenic microtissues into marbled steak-like constructs. Recent Article Trends (2020-2025): Her latest publications reveal a cohesive trajectory: coupling mechanobiology to epigenetic regulation (viscoelastic matrix enhances chromatin remodeling), advancing single-cell mechanical phenotyping (optomagnetic arrays, high-throughput screens), translating findings to cancer therapy (β-blockers to sensitize chemotherapy) and expanding engineered foods (scalable cultured-meat bioprocessing). Funding & Awards: NIH R21 CA245667 (PI) – Repurposing beta-blockers to improve chemotherapy response (2021-2023) Laboratory & Teams: Rowat leads an active research laboratory at UCLA that trains graduate students and postdocs at the intersection of physics, engineering and biology. The lab maintains collaborations across UCLA Engineering, Jonsson Comprehensive Cancer Center, and external partners in food science and biotechnology companies.

Jørgen Arendt Jensenمشاهده پروفایل

استاد

• Medical Ultrasound
• Biomedical Signal Processing
• Digital Signal Processing
• +۴ مورد دیگر

Jørgen Arendt Jensen is a Professor of Biomedical Signal Processing at the Technical University of Denmark (DTU), with dual affiliations in the Department of Health Technology and the Department of Electrical Engineering (DTU Elektro). He leads the Center for Fast Ultrasound Imaging (CFU), a collaborative initiative involving DTU, BK Medical, Rigshospitalet, and DTU Nanotech. His research focuses on advanced medical ultrasound technologies, including synthetic aperture imaging, vector flow imaging, and ultrasound simulation, aiming to improve clinical image acquisition efficiency and accuracy. He teaches medical imaging courses and co-initiated the joint biomedical engineering program between DTU and the University of Copenhagen. Jensen’s work contributes to UN Sustainable Development Goals related to health and innovation. His research interests span algorithm development for fast ultrasound imaging, blood velocity characterization, and simulation of ultrasound systems. He supervises multiple PhD students and collaborates on projects involving transducer design, real-time imaging systems, and microvascular pathology analysis. Recent publications emphasize advancements in super-resolution ultrasound imaging, transducer optimization, and pressure gradient estimation. His lab, CFU, develops cutting-edge imaging solutions for clinical applications. Jensen’s contributions include patents on ultrasound imaging techniques and collaborative ventures to enhance diagnostic capabilities through interdisciplinary engineering.

Athina E Markakiمشاهده پروفایل

استاد

• Tissue Engineering
• Biomaterials
• Regenerative Medicine
• +۳ مورد دیگر

Professor Athina E Markaki serves as Professor of Materials & Biomedical Engineering in the Department of Engineering at the University of Cambridge, leading research in advanced biomaterials and tissue engineering solutions for regenerative medicine with emphasis on vascularization and tubular scaffold development for human conduit replacement. Her academic credentials include a Diploma in Metallurgical Engineering (8.6/10) from the National Technical University of Athens and a PhD in Materials Science from the University of Cambridge. Markaki's research program centers on vascularisation techniques for clinically relevant tissue dimensions and tubular scaffolds to replace diseased or damaged human conduits, integrating biomaterials science with regenerative medicine principles. Key applications span liver tissue engineering, neural crest-derived stem cell differentiation, and vascular graft development, with strong translational focus on orthopaedic and cardiovascular medical devices. Analysis of her recent publications reveals dominant trends in biomimetic scaffold design, particularly collagen-based tubular structures and hydrogel systems for vascularized tissue constructs. Her work demonstrates interdisciplinary convergence of AI-driven retinal assessment, glioblastoma modeling, and self-healing cementitious materials, with consistent emphasis on clinically applicable regenerative solutions for liver, bone, and neural tissues. Her distinguished scientific contributions are recognized by major awards: Rosetrees Trust 2017 Interdisciplinary Award European Research Council (ERC) Starting Grant (2010) Advanced EPSRC Fellowship (2005) De Montfort Award at SET for Britain National Event (2004) Young Scientist Prize 2003 (5th Euromech Solid Mechanics Conference) Multiple academic excellence awards from Greek foundations Markaki directs a well-funded research program including ERC and EPSRC grants, mentoring graduate students in tissue engineering while teaching core engineering curricula covering plastic deformation, fracture mechanics, and medical materials design. Her group maintains strong industry and clinical partnerships to advance regenerative technologies. Her laboratory, accessible via http://www-memti.eng.cam.ac.uk/, specializes in vascularized tissue constructs and tubular scaffolds using laser-based manufacturing, biomimetic design, and hydrogel engineering to address critical challenges in tissue replacement and disease modeling.

Karthik Menonمشاهده پروفایل

استادیار

• Fluid Mechanics
• Bioengineering
• Computational Modeling
• +۵ مورد دیگر

Karthik Menon serves as an Assistant Professor with a joint appointment in the Woodruff School at Georgia Institute of Technology and the Coulter Department of Biomedical Engineering. His research integrates fluid mechanics, computational modeling, and data-driven methodologies to address critical challenges in healthcare, renewable energy, and bio-inspired engineering systems. His academic credentials include: Ph.D. in Mechanical Engineering, Johns Hopkins University (2021) M.S. in Mechanical Engineering, Johns Hopkins University (2019) B.E. in Mechanical Engineering, Birla Institute of Technology and Science, Pilani, India (2015) Menon's research program centers on three interconnected domains: cardiovascular flows for personalized treatment of heart disease, fluid-structure interactions in biological systems like heart valves and bio-mimetic robots, and vortex-dominated flows for renewable energy applications. His approach combines high-fidelity computational modeling with machine learning to uncover fundamental physics and develop clinical solutions, such as cardiovascular digital twins for non-invasive risk assessment. Current projects focus on patient-specific hemodynamics using CT imaging and uncertainty quantification to improve surgical planning. Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on advancing multi-fidelity computational frameworks for cardiovascular applications. Key trends include Bayesian uncertainty quantification, zero-dimensional solver development, and integration of clinical imaging data to create predictive digital twins. His work bridges fluid dynamics with clinical cardiology, targeting improved outcomes in coronary artery disease and Kawasaki-related complications through physics-informed machine learning. Menon's scholarly contributions have been recognized through competitive awards: WCCM-PANACM 2024 Travel Award, U.S. Association for Computational Mechanics (2024) Future Faculty Symposium Travel Award, Society of Engineering Science Conference (2023) Mark O. Robbins Prize in High-performance Computing, Johns Hopkins University (2021) Corrsin-Kovasznay Outstanding Paper Award, Johns Hopkins University (2020) Prosperetti Travel Award, Johns Hopkins University (2017) Mechanical Engineering Departmental Fellowship, Johns Hopkins University (2016) As principal investigator of the ComBiNE Fluid Dynamics Lab, Menon mentors graduate students in developing computational tools for fluid-structure interaction problems. His collaborative projects with cardiologists at Stanford and Emory hospitals translate engineering principles into clinical applications for cardiovascular disease management. Current grant activities focus on NSF and NIH-funded initiatives for uncertainty-aware cardiovascular modeling and bio-inspired flow energy harvesting. The ComBiNE Fluid Dynamics Lab operates as an interdisciplinary hub where engineers, clinicians, and data scientists collaborate on fluid mechanics challenges. Current lab initiatives include developing real-time hemodynamic simulators for surgical planning, creating reduced-order models for cardiac device optimization, and investigating vortex dynamics in fish schooling for underwater vehicle design. The lab maintains strong partnerships with Children's Healthcare of Atlanta and the Parker H. Petit Institute for Bioengineering and Bioscience.

Helma Wennemersمشاهده پروفایل

استاد

• Organic Chemistry
• Chemical Biology
• Peptide Chemistry
• +۵ مورد دیگر

Prof. Dr. Helma Wennemers serves as a Full Professor at ETH Zurich's Department of Chemistry and Applied Biosciences, leading the Laboratory for Organic Chemistry. Her research group operates from HCI H 313 at Vladimir Prelog Way 1-5/10 in Zurich, Switzerland, with active teaching responsibilities including Organic Chemistry I and Chemical Biology - Peptides for the Fall 2025 semester. Her research program centers on the intersection of organic chemistry and chemical biology , with particular emphasis on collagen triple helix engineering , peptide-catalyzed asymmetric synthesis , and development of chemical tools for tissue remodeling diagnostics . Key focus areas include designing hyperstable collagen heterotrimers for fibrosis monitoring, creating fluorophore-based probes for collagen cross-linking visualization, and pioneering organocatalytic methodologies for complex heterocycle synthesis. Her group actively explores how hydrophobic modifications and proline derivatives influence collagen stability and cellular uptake mechanisms. Analysis of her 15 most recent publications (2024-2025) reveals three dominant research trajectories: (1) collagen structural engineering for biomedical applications, (2) innovative peptide/organocatalysis enabling stereoselective transformations, and (3) chemical probe development targeting tissue remodeling processes. These works consistently integrate synthetic chemistry with biological validation, demonstrating translational potential in fibrosis diagnostics and regenerative medicine. While specific grant details aren't provided in available sources, her research program clearly supports advanced laboratory infrastructure including peptide synthesis facilities and photochemical reaction systems like the ETHos photoreactor. Her group maintains strong industry and clinical collaborations evident in applications targeting liver cancer cells and prostate cancer diagnostics. The Laboratory for Organic Chemistry functions as an interdisciplinary hub where synthetic organic chemists collaborate with biologists to develop collagen-based diagnostic platforms and catalytic systems. Current projects focus on lysyl oxidase-responsive probes for real-time tissue monitoring and engineered peptide catalysts for sustainable chemical synthesis under environmentally relevant conditions.

Matthew B Pottsمشاهده پروفایل

دانشیار

• Stroke
• Cerebrovascular Disease
• Brain Aneurysms
• +۳ مورد دیگر

Matthew B Potts, MD is an Associate Professor in the Department of Neurological Surgery at Northwestern University's Feinberg School of Medicine, with secondary appointments in Neurology (Ken and Ruth Davee Department) and Radiology. His clinical expertise spans cerebrovascular surgery, neurointerventional/endovascular procedures, and management of brain aneurysms, vascular malformations, stroke, and spinal vascular disease across multiple Northwestern Medicine hospitals including Shirley Ryan AbilityLab. Dr. Potts completed his BS at MIT (2000) and MD at UCSF (2007), followed by surgical internship (2008), neurological surgery residency (2013), and cerebrovascular fellowship at NYU (2015). BS: Massachusetts Institute of Technology (2000) MD: University of California, San Francisco (2007) Internship: University of California-San Francisco Medical Center, Surgery (2008) Residency: University of California-San Francisco Medical Center, Neurological Surgery (2013) Fellowship: New York University Medical Center, Endovascular/Cerebrovascular Surgery (2015) His research program centers on chronic subdural hematoma pathophysiology, emergency stroke thrombectomy process optimization, and aneurysm treatment outcomes. He employs clinical-translational approaches to improve cerebrovascular disease management through advanced surgical techniques and rigorous outcomes assessment. Recent 2025 publications reveal strong focus on hydrocephalus diagnostics, hematoma expansion biomarkers, vertebrobasilar anatomy, and dolichoectatic aneurysm natural history. These works demonstrate multidisciplinary collaboration across neurosurgery, neurology, and radiology to advance diagnostic precision and treatment efficacy in complex cerebrovascular disorders. Dr. Potts has received exceptional recognition for medical education, including three consecutive Outstanding Teacher Awards (2019-2021) and the John X. Thomas, Jr. Best Teachers Award (2020). His research contributions are honored by the NIH Rush L. Kirschstein Award (2012) and Howard Hughes Fellowship (2005). Outstanding Teacher Award, Northwestern University Feinberg School of Medicine (2021) Outstanding Teacher Award, Northwestern University Feinberg School of Medicine (2020) John X. Thomas, Jr. Best Teachers of Feinberg Award, Northwestern University Feinberg School of Medicine (2020) Outstanding Teacher Award, Northwestern University Feinberg School of Medicine (2019) Ivan Ciric Resident Teaching Award, Northwestern University Department of Neurological Surgery (2017) Best Scientific Presentation, UCSF Department of Neurological Surgery (2013) NIH Rush L. Kirschstein National Research Service Award, National Institutes of Health (2012) UCSF School of Medicine Alumni Scholarship Award, University of California, San Francisco (2006) Howard Hughes Medical Institute Medical Student Research Fellow, Howard Hughes Medical Institute (2005) UCSF Quarterly Research Fellowship, University of California, San Francisco (2005) MIT-Germany Program Research Fellowship, Massachusetts Institute of Technology (2001) As an educator, Dr. Potts mentors medical students and residents through Feinberg's neurological surgery program, evidenced by his resident teaching award. His research is supported by institutional resources and prior NIH funding, with current industry relationships including ownership in Rhaeos, Inc. He serves as Assistant Editor for Neurosurgery and Associate Editor for Operative Neurosurgery. He operates within Northwestern's integrated neurovascular team across multiple hospital sites, collaborating with neurologists, neuroradiologists, and rehabilitation specialists to deliver comprehensive care for complex cerebrovascular conditions, with ongoing work focused on improving health equity in stroke treatment and minimally invasive surgical innovation.

• Cancer Genomics
• Precision Medicine
• Colorectal Cancer Research
• +۵ مورد دیگر

Tobias Sjöblom serves as Professor and Head of Department at Uppsala University's Department of Immunology, Genetics and Pathology, where he leads the Cancer Precision Medicine research program. His work bridges clinical oncology and molecular biology, with particular focus on translating genomic findings into clinical applications for cancer patients. His research interests center on cancer genomics, precision medicine, and molecular diagnostics, with extensive work on colorectal cancer biology and treatment. Sjöblom's laboratory investigates how genetic variations influence cancer development, progression, and response to therapy, particularly focusing on pharmacogenomic biomarkers that can guide personalized treatment decisions. His work spans from basic molecular mechanisms to clinical applications, with strong emphasis on translating research findings into clinical practice. Analyzing his recent publication record reveals a clear trajectory toward precision oncology applications, with increasing focus on liquid biopsy technologies, AI-assisted diagnostics, and biomarker-driven treatment strategies. His research demonstrates a consistent pattern of investigating how specific genetic alterations (particularly in NAT2, CYP2D6, and other metabolic enzymes) can be leveraged for targeted cancer therapies. The interdisciplinary nature of his work is evident in collaborations spanning molecular biology, clinical oncology, bioinformatics, and medical imaging. Sjöblom has established significant research infrastructure through initiatives like the U-CAN biobank, creating valuable resources for cancer research across Sweden. His leadership extends to developing novel methodologies for cancer genomics and diagnostics, including advanced techniques for mutation detection and tissue analysis. His laboratory maintains strong clinical connections, working closely with oncologists and surgeons to ensure research questions address real clinical challenges. This translational approach has resulted in numerous publications in high-impact journals including Nature, Science, and Cell Death and Disease, demonstrating the significance and quality of his contributions to cancer research.

Steff Lewisمشاهده پروفایل

استاد

• Medical Statistics
• Clinical Trials
• Epidemiology
• +۳ مورد دیگر

Steff Lewis is a Professor of Medical Statistics at the University of Edinburgh , affiliated with the Usher Institute within the College of Medicine and Veterinary Medicine . She leads the statistics group at the Edinburgh Clinical Trials Unit and holds roles in the Deanery of Molecular, Genetic and Population Health Sciences . Her expertise spans meta-analysis, randomized trial design, and clinical trial governance, with involvement in Cochrane Collaboration and UK Clinical Research Collaboration initiatives. Education: MSc and PhD in Medical Statistics. Research Interests: Focuses on methodological advancements in clinical trial reporting (e.g., CONSORT and SPIRIT guidelines), cardiovascular outcomes (e.g., SCOT-HEART trial), stroke prevention (ASPIRING trial), and ethical data management. She actively contributes to international standards for trial protocols, anonymization practices, and statistical validation. Recent Contributions: Over 200 peer-reviewed articles and 37 ongoing projects, including leadership in trials assessing antiplatelet therapies, Paget’s disease interventions, and pediatric asthma treatments. Collaborates globally on guidelines for randomized trials and data-sharing protocols. Grants & Teams: Principal or co-investigator on projects funded by NIHR, BHF, and ESRC, including trials on iron therapy in critical care (INTACT-2) and cannabinoid treatments for endometriosis pain (ENDO-CAN). Leads multidisciplinary teams integrating statistical rigor with clinical innovation. Labs/Teams: Embedded within the Edinburgh Clinical Trials Unit and the Centre for Population Health Sciences , fostering collaborative research across molecular, genetic, and public health domains.

Mahmoud El-Sakkaمشاهده پروفایل

دانشیار

• Image Compression
• Medical Imaging
• Image Segmentation
• +۵ مورد دیگر

Mahmoud El-Sakka is an Associate Professor at the Department of Computer Science, University of Western Ontario since 1999. Previously, he was a faculty member at the University of Waterloo (1997–1999). He holds a B.Sc. and M.Sc. from Alexandria University (Egypt) and a Ph.D. in Systems Design Engineering from the University of Waterloo. His research focuses on medical imaging, image processing, and computer-aided diagnostics. He has served as Chair of the graduate program (2002–2007) and undergraduate program (2017–present) in Computer Science at Western Ontario. El-Sakka is a Senior Member of the IEEE and a licensed Professional Engineer in Ontario. His work spans grants from NSERC, internal university funding, and industry collaborations. Major research areas include image compression, segmentation, and medical applications like vascular analysis and echocardiography. He has led over 20 funded projects since 1999, emphasizing interdisciplinary approaches in healthcare technology. Academic contributions include advisory roles in summer programs, thesis evaluations, and conference participation. His service includes roles as Pro-Chancellor at convocations and involvement in equipment purchasing committees. Collaborations include consulting with NCR Canada and VRP Web Technology.

Thomas G. Costantinoمشاهده پروفایل

استاد

• Emergency Medicine Ultrasound
• Diagnostic Imaging
• Point-of-Care Ultrasound (POCUS)
• +۳ مورد دیگر

Thomas G. Costantino, MD, is a Professor in the Department of Emergency Medicine at Lewis Katz School of Medicine at Temple University. He specializes in Emergency Medicine Ultrasound, with a focus on diagnostic imaging, vascular access, and musculoskeletal ultrasound. Dr. Costantino has held academic positions at multiple institutions, including Drexel University and Medical College of Pennsylvania, and has received numerous accolades for teaching excellence and research contributions. Education: MD from University of Michigan School of Medicine Training: Fellowship and Residency in Emergency Medicine at Medical College of Pennsylvania His research involves advancing point-of-care ultrasound (POCUS) techniques in emergency diagnostics, particularly for aortic dissections, pleural effusions, and acute visual complaints. His publications highlight the efficacy of ultrasound-guided procedures over traditional methods. Scientific Awards & Memberships National Alzheimer’s Federation Research Award University of Michigan Alumni Merit Scholarship Excellence in Teaching Awards at Temple, Drexel, and MCP/Hahnemann Medical Schools Fellow of American Academy of Emergency Medicine and American College of Emergency Physicians Dr. Costantino actively contributes to emergency medicine education, including associate editor roles in medical textbooks and ultrasound training programs. His work emphasizes improving diagnostic accuracy and patient outcomes through innovative imaging techniques.

Sudin Bhattacharyaمشاهده پروفایل

دانشیار

• Systems Toxicology
• Computational Biology
• Gene Expression Analysis
• +۳ مورد دیگر

Sudin Bhattacharya is an Associate Professor at the BioMolecular Science Gateway, Michigan State University, with affiliations in the Genetics & Genome Sciences Program and Cell & Molecular Biology Program. His research bridges computational biology and toxicology to understand complex biological systems. Email: sbhattac@msu.edu Research Interests Dr. Bhattacharya specializes in systems toxicology, focusing on computational modeling of gene regulatory networks, single-cell transcriptomics, and molecular dynamics in response to environmental toxicants. His work examines how chemical exposures disrupt cellular pathways and contribute to disease mechanisms. Article Trends His recent publications emphasize: Single-cell and single-nucleus RNA sequencing for toxicological profiling Computational models of circadian rhythms and intercellular communication Dose-dependent responses to environmental chemicals like TCDD and heavy metals Mechanistic studies of adipose tissue remodeling and hypertension Applications of machine learning in chemical risk assessment Integrative approaches to liver metabolism and disease modeling Scientific Contributions Dr. Bhattacharya has pioneered multiscale modeling of biological systems, particularly in hepatic and vascular contexts. His work on the aryl hydrocarbon receptor and PPARα signaling networks has advanced predictive toxicology frameworks.

• Computer Graphics
• Computer Vision
• Human-Computer Interaction
• +۷ مورد دیگر

Changjian Li is an Assistant Professor in the School of Informatics at the University of Edinburgh. He leads the GraphViX Group (Graphics, Vision and X) and is a member of the Institute of Perception, Action and Behaviour (IPAB). His research spans computer graphics, computer vision, and human-computer interaction with a focus on 3D generation and analysis. Education: Bachelor's Degree from Shandong University (2014) Ph.D. from the University of Hong Kong (2019) under Prof. Wenping Wang Postdoc at University College London (UCL) with Prof. Niloy Mitra Starting Researcher position at Inria with Dr. Adrien Bousseau Research Interests: Changjian's research focuses on sketch-based 3D modeling, CAD modeling, point cloud processing, and medical imaging applications. He develops systems that bridge intuitive sketching with precise CAD workflows, enhances 3D animation pipelines, and applies neural methods to sparse medical data reconstruction. Scientific Recognition: Best Paper Honorable Mention Award (MICCAI 2021) CADTalk selected as Highlight (CVPR 2024 top 10%) ACM SIGGRAPH Asia 2018 cover image selection ACM SIGGRAPH Asia 2015 technical paper highlight CVPR 2019 poster highlighted in 'Computer Vision News' Advising & Collaborations: He mentors postdocs and PhD students including Duolikun Danier, Haocheng Yuan, Ankan Bhunia, and Lei Zhong. Former advisees include Salvatore Esposito (now at Edinburgh), Guangshun Wei (Shandong University), and Mingjun Yang (University of Melbourne). Collaborates with Oisin Mac Aodha, Hakan Bilen, and Niloy Mitra. Professional Service: Currently serves as Associate Editor for IEEE TVCG and participates in program committees for SIGGRAPH Asia, SIGGRAPH, EuroGraphics, and Geometry Design and Computing (GDC) conferences.

• Cardiovascular Physiology
• Exercise Physiology
• Vascular Function
• +۴ مورد دیگر

Joe Stock is an Assistant Professor in Kinesiology at East Carolina University's College of Health and Human Performance. He operates the Human Performance Lab, focusing on cardiovascular wellness in aging and at-risk populations. B.S. in Exercise Science, Slippery Rock University M.S. in Health, Physical Activity and Chronic Disease, University of Pittsburgh Ph.D. in Kinesiology and Applied Physiology, University of Delaware His research examines aortic hemodynamics, vascular function, and lifestyle interventions through echocardiography, blood vessel ultrasound, and non-invasive blood pressure analysis. He explores sex differences in neurocardiovascular responses and salt sensitivity mechanisms. Recent publications demonstrate expertise in chronic kidney disease adaptations, exercise-induced vascular changes, and central sodium sensing. Collaborations span cardiovascular physiology, nephrology, and autonomic neuroscience. National Heart, Lung, and Blood Institute grant (2021-2023) University of Delaware Dissertation Fellowship (2019) University of Delaware Summer Doctoral Fellowship (2018) Professional service includes American Heart Association membership, ACSM regional committee work, and development of clinical exercise programs for renal patients. His work integrates applied physiology with translational medicine.