جستجوی استاد راهنمای دانشگاهی

• Cancer Genomics
• Bioinformatics
• Oncology
• +۵ مورد دیگر

Prof. Giovanni Tonon is a Full Professor at Vita-Salute San Raffaele University and holds key leadership roles including Director of the Center for Omics Sciences and Head of the Functional Genomics of Cancer Unit at the San Raffaele Scientific Institute in Milan, Italy. His academic journey includes a Medical Degree from the University of Padua (110/110 cum laude) and a PhD in Clinical Methodology from the University of Milan. He has held prestigious positions at institutions like Harvard Medical School and the NIH in the US. His research focuses on genomic and bioinformatics approaches to identify cancer-related genes/pathways, with particular emphasis on multiple myeloma and CAR T-cell therapies. He has pioneered studies on DNA damage responses in cancer and developed novel diagnostic/therapeutic technologies. His work integrates molecular oncology, epigenetics, and precision medicine. Prof. Tonon has secured major awards including the Leukemia & Lymphoma Society Special Fellow Award (2006-2009) and holds 7 patents related to cancer diagnostics and therapies. He actively contributes to teaching, leading courses in Molecular Oncology, Gene Expression Analysis, and Scientific Writing at San Raffaele University. His research group collaborates internationally, driving initiatives like the DigiONE federated learning system for precision oncology. Education: PhD in Clinical Methodology, University of Milan (2002) Medical Degree, University of Padua (1992) Music Professor Certification in Piano, Conservatory of Venice (1989) Key Roles: Director, Center for Omics Sciences (2016-present) Unit Head, Functional Genomics of Cancer (2008-present) Professor of Molecular Oncology (2008-2016) His lab focuses on translating genomic discoveries into clinical applications, with recent work advancing CAR T-cell therapies for colorectal cancer and developing federated learning systems for oncology research. He maintains active participation in doctoral programs in Neurocognitive Sciences and serves on institutional research committees.

Fatemeh Vafaeeمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Systems Biology
• +۵ مورد دیگر

Associate Professor Fatemeh Vafaee is a leading researcher at the University of New South Wales (UNSW) , holding appointments as Associate Professor in the School of Biotechnology and Biomolecular Sciences (BABS) and Deputy Director (Science) of the UNSW AI Institute . She previously served as Deputy Director of the UNSW Data Science Hub (uDASH) and has held academic positions at the University of Toronto and the University of Sydney. PhD in Artificial Intelligence from University of Illinois at Chicago Postdoctoral Fellowships at University of Toronto and University of Sydney Founded the AI-Enhanced Biomedicine Laboratory in 2017 Her research focuses on deploying advanced AI techniques to address biomedical challenges through: Biomarker Discovery for cancer and neurodegenerative diseases Single-Cell Multi-Omics data integration and analysis Computational Drug Repositioning and network pharmacology Multi-Omics Data Fusion and temporal network modeling Recent publications demonstrate expertise in liquid biopsy development , single-cell imaging , and AI-driven cancer diagnostics . Her methodological contributions include novel deep learning architectures for omics data analysis and graph neural networks for drug synergy prediction. Scientific accolades include: Winner, Women in AI Asia-Pacific Health Award (2023) Runner-Up, WAI-APAC Innovator of the Year (2023) Top 10 Women in AI in Asia-Pacific (2023) Australian Bioinformatics and Computational Biology Society Research Excellence Award (2023) She supervises PhD candidates across computational biomedicine and AI in healthcare , with significant grant achievements exceeding $17M in competitive funding, including schemes from ARC Discovery , NHMRC , and Medical Research Future Fund .

Stephan Zipfelمشاهده پروفایل

استاد

• Psychosomatic Medicine
• Eating Disorders
• Gerontology
• +۳ مورد دیگر

Prof. Dr. med. Stephan Zipfel is a Professor and Head of the Department of Psychosomatic Medicine and Psychotherapy at Eberhard Karls University Tuebingen. His primary affiliation is within the Faculty of Medicine, specializing in psychosomatic disorders, eating disorders, and gerontology. He leads the HELP (Helping the Elderly to enjoy Long complete lives) initiative, focusing on geriatric science research and societal engagement. His research spans clinical and translational studies in psychosomatic medicine, with a focus on eating disorders (e.g., anorexia nervosa, binge-eating disorder), psycho-oncology, and mental health interventions. He is involved in the KOMET Eating Disorder Center, advancing clinical care, research, and prevention. His work integrates basic science findings into patient care, emphasizing translational approaches. Prof. Zipfel oversees teaching programs in psychosomatic medicine, including clinical training for medical students, psychologists, and midwives. He promotes clinician-scientist training, offering structured doctoral programs and interdisciplinary collaboration opportunities. His department also provides specialized courses like the 80-hour 'Psychosomatic Basic Care' program for physicians. Key projects include the STARKIDS study (pediatric obesity prevention) and the TWINCORD-EDID study exploring genetic and environmental factors in eating disorders. He advocates for academic freedom and interdisciplinary research, addressing societal challenges like demographic change and mental health disparities.

• Cancer
• Cell Biology
• Genetics
• +۳ مورد دیگر

Dr. Charles Bailey is a Senior Research Fellow at the University of Sydney's Central Clinical School, Department of Medicine, and an affiliated researcher at the Centenary Institute of Cancer Medicine & Cell Biology. His work focuses on cancer biology, epigenetics, and molecular mechanisms underlying genetic diseases. Dr. Bailey leads projects investigating CTCF protein functions in cancer, alternative splicing regulation, and therapeutic targeting of cancer-related pathways. Research Interests: Dr. Bailey's research spans cancer epigenetics (particularly CTCF and chromatin remodeling), gene therapy development, protein-protein interaction networks, and molecular mechanisms of tumor suppression. His work combines experimental models (mouse and cell cultures) with clinical data analysis to bridge basic science and translational medicine. Recent Directions: His articles from 2023 highlight clinical trials for novel cancer drug combinations (e.g., olaparib/durvalumab) and mechanisms of embryo development. Earlier work revealed critical roles for CTCF in genome regulation, while 2022 studies advanced understanding of NuRD complex interactions and lens development pathways. Grants & Awards: Recipient of multiple grants including Tour de Cure's Pioneering Research Awards (2023, 2022, 2021) and Cancer Council NSW support. Projects focus on exploiting genomic vulnerabilities in pancreatic/endometrial cancers and developing gene therapy delivery systems. Collaborations: Active collaborations across Sydney's medical research community, including work with Prof. John Rasko on gene therapy vectors and Prof. Michelle Semsarian on heart disease mechanisms.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Jing Zhao is a Professor at Beijing Institute of Technology's School of Automation, Department of Computer Science, with an extensive publication record spanning artificial intelligence, computer vision, medical imaging, and robotics. Their interdisciplinary research bridges theoretical computer science with practical applications in healthcare, agriculture, and engineering. Research interests focus on cutting-edge AI methodologies including deep learning architectures, neural rendering techniques, and multimodal systems. Notable work includes advancements in 3D reconstruction (Gaussian Splatting), medical image analysis for cancer diagnosis, and novel approaches to EEG-based emotion recognition. The research demonstrates strong interdisciplinary connections between computer science and domain-specific applications. Recent publications reveal a consistent trend toward practical AI implementations across diverse fields. Jing Zhao's work shows expertise in adapting theoretical machine learning concepts to solve real-world problems in medical diagnostics, agricultural monitoring, and robotics. The research portfolio demonstrates particular strength in developing novel neural network architectures for specialized applications. As a corresponding author on numerous high-impact publications, Jing Zhao appears to lead a productive research group with collaborations spanning multiple institutions and disciplines. The publication record indicates significant contributions to both theoretical computer science and applied AI solutions across various domains.

• Surgical Oncology
• Hyperthermic Intraperitoneal Chemotherapy (HIPEC)
• Colorectal Cancer Treatment
• +۴ مورد دیگر

Lucas SIDERIS is a Professor in the Department of Surgery at Université de Montréal’s Faculty of Medicine. His research focuses on surgical oncology, particularly in colorectal cancer, peritoneal carcinomatosis, and hyperthermic intraperitoneal chemotherapy (HIPEC). He has led clinical trials evaluating the efficacy of HIPEC and cytoreductive surgery, including studies on postoperative complications and biomarker-driven therapies. SIDERIS has supervised multiple master’s students investigating topics like HIPEC pharmacokinetics and clinical outcomes. He contributed to the Pan-Canadian colorectal cancer consortium (C4) and received funding from the Terry Fox Research Institute. His work bridges surgical innovation and translational research, emphasizing evidence-based strategies for peritoneal malignancies. Key collaborations include the Chicago Consensus initiatives on peritoneal surface malignancies and studies on HIPEC drug delivery mechanisms. Educational contributions include randomized trials on surgical skill development for residents. SIDERIS’s clinical activities involve managing complex oncological cases and advancing multidisciplinary care protocols in surgical oncology. Grants: Pan-Canadian colorectal cancer consortium (C4) Phase II (Terry Fox Research Institute) Advising: Supervised 5 master’s students (2010–2021) focusing on HIPEC efficacy, surgical outcomes, and oncological care. Labs/Teams: Active member of Université de Montréal’s surgical oncology research groups, contributing to international guideline development for HIPEC protocols and peritoneal mesothelioma management.

Manuela Zucknickمشاهده پروفایل

استاد

• Statistical learning for translational cancer research
• Personalized cancer therapies
• Multi-omics data integration
• +۷ مورد دیگر

Manuela Zucknick is Professor and Director of the Oslo Centre for Biostatistics and Epidemiology at the University of Oslo's Faculty of Medicine, Department of Biostatistics. Her research integrates statistical learning with translational cancer research to advance personalized medicine through multi-omics data integration. PhD Biostatistics, Imperial College London (2008) MSc Bioinformatics, Imperial College London (2004) Diplom Statistik, University of Dortmund (2003) Her research focuses on Bayesian methods for integrating heterogeneous data sources in cancer research, particularly for drug response prediction in pharmacogenomic screens and patient prognosis. She develops structured high-dimensional regression models for 'large p, small n' problems in molecular medicine, with emphasis on incorporating prior biological knowledge into risk prediction frameworks. Her work bridges statistical methodology with clinical applications in personalized cancer therapies. Her recent publications demonstrate consistent contributions to multi-omics integration and survival modeling across diverse clinical contexts including cancer, pregnancy complications, and rheumatoid arthritis. The research shows strong methodological innovation in handling high-dimensional biological data while maintaining clinical relevance. Through the Oslo Centre for Biostatistics and Epidemiology, she leads collaborative projects spanning oncology, obstetrics, and rheumatology. Her work frequently involves designing statistical frameworks for pharmacogenomic screens and developing tools for biomarker discovery in complex disease settings.

• Pediatric Hematology
• Oncology
• Leukemia Research
• +۳ مورد دیگر

Prof. Martin Horstmann is a leading academic in pediatric hematology and oncology at the University Medical Center Hamburg-Eppendorf (UKE). He holds a professorship in the Department of Pediatric Hematology and Oncology within the Faculty of Medicine. His roles include Scientific Director of the Childhood Cancer Center Hamburg (Kinderkrebs-Zentrum Hamburg) and Study Director of the COALL clinical trials. He is also a senior physician specializing in pediatric hematology/oncology. His research focuses on molecular mechanisms of pediatric leukemias, including genetic drivers, minimal residual disease (MRD) analysis, and translational applications of AI in diagnostics. Key areas include B-cell precursor ALL, T-cell ALL, and targeted therapies. His work bridges clinical trials (e.g., CoALL studies) with genomic insights, emphasizing risk stratification and precision medicine. Publications from 2024 highlight advancements in AI-driven diagnostic frameworks, IKZF1 deletion prognostics, and signaling pathway modulation (e.g., Ikaros-AKT interactions). Earlier work (2023–2014) explores SHIP1 function in T-ALL, PAX5 mutations, and kinase inhibitor strategies. His team collaborates internationally, contributing to global pediatric leukemia treatment protocols. Horstmann’s lab is part of the UKE’s comprehensive cancer research infrastructure, including the University Cancer Center Hamburg (UCCH) and translational platforms like the European Liquid Biopsy Society (ELBS). He advises on clinical protocols integrating pharmacogenomics and molecular diagnostics to improve outcomes for pediatric cancer patients.

Bernd Wollscheidمشاهده پروفایل

مدرس

• Molecular Health
• Proteomics
• Cell Signaling
• +۳ مورد دیگر

Prof. Dr. Bernd Wollscheid is a Lecturer at the Department of Health Sciences and Technology (D-HEST) at ETH Zurich, Switzerland. He leads the Wollscheid Lab and the Proteomics Plattform D-HEST , focusing on decoding the extracellular interactome and the cell surfaceome's nanoscale organization. His work bridges biology, chemistry, medicine, and bioinformatics, developing cutting-edge technologies like LUX-MS and TRICEPS-based LRC to study cellular communication and signaling pathways. Research interests include understanding how the surfaceome influences cellular functions, particularly in disease contexts such as cancer and metabolic disorders. Key projects involve creating resources like the Cell Surface Protein Atlas and PROTTER , tools for visualizing proteoforms and analyzing multi-omics datasets. His lab also explores precision medicine applications, including biomarker discovery and tumor profiling for clinical decision support. Publications highlight advancements in multi-omics integration, drug repurposing, and functional proteomics. The lab collaborates on initiatives like the Swiss Personalized Health Network (SPHN) and the Personalized Health and related Technologies (PHRT) strategic focus area. Funding comes from public grants and strategic partnerships. Recruitment for motivated researchers is ongoing, emphasizing contributions to molecular health and surfaceome research.

Gerard Kaikoمشاهده پروفایل

دانشیار

• Regenerative Medicine
• Stem Cell Biology
• Mucosal Immunology
• +۷ مورد دیگر

Associate Professor Gerard Kaiko is an academic at the University of Newcastle's School of Biomedical Sciences and Pharmacy, serving as Theme Leader for Stem Cells and Organoids in Mucosal Diseases at HMRI. His research focuses on mucosal organoids, stem cells, and microbiome-driven therapies for diseases like cystic fibrosis, asthma, and inflammatory bowel disease. He holds an NHMRC CJ Martin Fellowship and has contributed to high-impact journals like Cell , Science , and Science Translational Medicine . Education: PhD in Immunology & Microbiology, University of Newcastle Roles: Associate Professor, Theme Leader, and Principal Investigator in multiple grants Labs/Teams: Leads the Stem Cells and Organoids group at HMRI Research Interests: Mucosal organoids for drug discovery, stem cell biology in tissue repair, microbiome mining for therapies, and precision medicine using patient-derived organoids. His work bridges basic science and clinical translation, including a national clinical trial for cystic fibrosis precision medicine. Articles Trends: Recent work explores ACE2 expression in asthma, maternal microbiome impacts on immunity, and organoid-based platforms for cystic fibrosis therapies. His lab's innovations include 3D organoid culture systems and exosome-based drug delivery. Scientific Awards: NHMRC CJ Martin (Overseas) Fellowship, NHMRC Career Development Fellowship Grants: Over AUD$10 million in funding from NHMRC, industry, and philanthropy

Conor J Walshمشاهده پروفایل

استاد

• Bioengineering
• Robotics and Control
• Biomechanics
• +۷ مورد دیگر

Conor J Walsh is the Paul A. Maeder Professor of Engineering and Applied Sciences at Harvard University's John A. Paulson School of Engineering and Applied Sciences (SEAS). He is also an Associate Faculty Member at the Wyss Institute for Biologically Inspired Engineering. His research focuses on soft wearable robotics, biomechanics, and their applications in healthcare and rehabilitation. Walsh leads the Walsh Biodesign Lab, which develops innovative wearable devices for individuals with mobility impairments, including stroke survivors and Parkinson’s patients. His work emphasizes translating engineering solutions into clinical practice through collaborations with clinicians and industry partners. Key research areas include soft robotic exosuits, wearable sensors, and assistive technologies for neuromuscular disorders. His lab has pioneered devices like ankle and back exosuits that improve walking speed and reduce energy expenditure. Notable projects include a soft robotic apparel to alleviate freezing of gait in Parkinson’s patients and a propulsion neuroprosthesis for post-stroke gait training. Walsh's interdisciplinary approach integrates biomechanics, machine learning, and materials science to address complex mobility challenges. Walsh’s lab is located at 150 Western Ave, Allston, MA, with affiliations spanning SEAS, Wyss Institute, and affiliated medical centers. His educational contributions include courses in materials science, robotics, and bioengineering. Despite no explicitly listed awards, his impactful research has been highlighted in prominent news outlets for innovations like the Harvard Move Lab’s wearable exosuits for stroke survivors. Advising and grants are not detailed in the provided text, but his lab’s extensive publications indicate active research funding. The Walsh Biodesign Lab collaborates with industry partners to commercialize technologies, such as the Move Lab’s exosuit for industrial workers. Future work focuses on personalized rehabilitation systems and AI-driven adaptive assistance for neurological disorders.

• Regenerative Medicine
• Stem Cell Biology
• Biomaterials
• +۵ مورد دیگر

Dr. Jerran Santos is a Senior Lecturer at the School of Life Sciences, University of Technology Sydney (UTS), and holds an Honorary Professorship in Biomaterials and Tissue Engineering at the University of Toulouse. He leads the Advanced Tissue Engineering and Stem Cell Biology Group at UTS and is an active consultant for the TGA. His research focuses on regenerative and precision medicine, utilizing stem cells and biomaterials to develop translational clinical applications. Key projects address neurodegenerative diseases (e.g., Alzheimer's, Parkinson's), musculoskeletal disorders (e.g., Osteoarthritis), and advanced biomaterials for 3D bioprinting. Dr. Santos has secured over $5 million in research funding and maintains international collaborations. His expertise spans stem cell biology, systems biology, and bioengineering. He has authored over 30 peer-reviewed articles and contributed to book chapters, emphasizing molecular mechanisms in cell differentiation, biomaterial design, and immunotherapy applications. Education: PhD (Macquarie University, 2013), Bachelor of Biotechnology (UTS, 2007) Positions: Biotechnology Course Coordinator (UTS), Stem Cell Futures Fellow (UTS), Visiting Scholar (Cedars-Sinai) Research Themes: Stem cell differentiation, 3D bioprinting, proteomics, and immunomodulatory therapies Scientific achievements include developing patient-specific cell models for degenerative diseases and identifying key molecular pathways in disease progression. His work aligns with UN Sustainable Development Goals 3 (Health), 9 (Infrastructure), and 17 (Partnerships).

Anubhav Tripathiمشاهده پروفایل

استاد

• Biomedical Engineering
• Microfluidics
• Biomaterials
• +۷ مورد دیگر

Anubhav Tripathi is a Professor of Engineering and Director of Biomedical Engineering at Brown University's School of Engineering. His work focuses on developing scalable bioengineering solutions for diagnostics and life sciences, emphasizing microfluidics, biomaterials, and high-throughput screening. His lab, the Tripathi Biomedical Engineering Group, pioneers innovations in sample preparation, single-cell analysis, and point-of-care diagnostics. Research interests include understanding complex biomaterials through microfluidic platforms, proteomics, and lab-on-a-chip applications. Key technologies developed include electric-field-assisted sample preparation, automated liquid handling systems, and placental lipid bilayer models for molecular interaction studies. Recent work spans opioid quantification, amyloid-beta detection, and drought-resistant maize screening in Nepal. Publications highlight advancements in nucleic acid analysis, cell dissociation techniques, and diagnostic automation. His interdisciplinary approach bridges engineering principles with medical applications, addressing challenges in genetic testing, infectious disease detection, and reproductive health. Collaborative efforts extend to agricultural research, demonstrating versatility in applying microfluidic expertise to diverse domains. Contact details include his email Anubhav_Tripathi@brown.edu and lab website at tripathi_lab@brown.edu. His lab is located at 91 Waterman St, Providence, RI 02912.

Abolfazl Safikhaniمشاهده پروفایل

استادیار

• Network Modeling
• High-Dimensional Statistics
• Spatiotemporal Models
• +۵ مورد دیگر

Abolfazl Safikhani is an Assistant Professor in the Department of Statistics at George Mason University. He holds a PhD in Statistics and Probability from Michigan State University and has held prior positions at Columbia University and the University of Florida. His research focuses on network modeling, high-dimensional statistics, spatiotemporal models, and applications in urban planning, neuroscience, and smart cities. He is an Associate Editor for Technometrics , Statistica Sinica , and Data Science in Science . He has contributed to advancements in statistical methodologies for time series analysis, including change point detection, transfer learning, and spatiotemporal modeling. His work bridges theoretical statistics with practical applications in urban growth prediction, healthcare (e.g., cancer drug response modeling), and transportation systems. Recent research trends include leveraging explainable AI for land use modeling, longitudinal omics data analysis, and structural break detection in high-dimensional systems. His publications span theoretical developments and real-world case studies, such as subway ridership during the pandemic and New York City’s taxi demand dynamics. Despite no listed awards, his editorial roles highlight his influence in statistical science. He actively mentors students and collaborates on interdisciplinary projects, emphasizing data-driven solutions for complex societal challenges.

Shibiao Wanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Bioinformatics
• +۷ مورد دیگر

Dr. Shibiao Wan is an Assistant Professor in the Department of Genetics, Cell Biology, and Anatomy at the University of Nebraska Medical Center (UNMC), and Assistant Director of the Bioinformatics and Systems Biology Core. With 14+ years of expertise in machine learning, bioinformatics, and computational biology, he has published over 50 articles in high-impact journals. His research focuses on AI-driven solutions for biomedical challenges, including cancer, neurological disorders, and precision medicine through multi-omics and clinical data integration. Education: Postdoctoral training at the University of Pennsylvania and Princeton University; PhD from The Hong Kong Polytechnic University; BEng from Wuhan University. Research interests include developing AI/ML methods for single-cell analysis, spatial transcriptomics, and clinical informatics. He collaborates with researchers in cancer biology, neuroscience, and immunology to address translational biomedical problems. Notable awards include the UNMC New Investigator Award (2024), Nebraska EPSCoR FIRST Award (2023), and Clarivate's Top Reviewer recognition (2019). He serves on editorial boards for journals like Briefings in Functional Genomics and as a conference program committee member. Labs/Teams: Wan Lab focuses on integrating omics data with AI for disease modeling and diagnostics. Collaborative projects span oncology, cardiology, and developmental biology.