جست‌وجوی استاد و پژوهشگر

Daniel Finleyمشاهده پروفایل

استاد

• Ubiquitin-Proteasome Pathway
• Proteostasis
• Protein Degradation
• +۷ مورد دیگر

Daniel Finley is a Professor of Cell Biology at Harvard Medical School (HMS), leading the Finley Lab focused on the ubiquitin-proteasome pathway and related regulatory mechanisms. He holds academic appointments within the Department of Cell Biology and sits on the Scientific Advisory Boards of Proteostasis and X-Chem Pharmaceuticals. His research investigates proteasome function, ubiquitin-like proteins, and proteostasis roles in diseases like Alzheimer’s and ALS. Dr. Finley earned his undergraduate degree in biochemistry from Harvard University and a Ph.D. in molecular biology from MIT. After postdoctoral training at MIT, he joined HMS in 1988. His lab explores topics including erythroid proteome remodeling, mitochondrial dysfunction, and neurodegenerative disease mechanisms. Key research areas include: (1) Ubiquitin-proteasome pathway regulation, (2) Proteasome structure/function, (3) Nonproteolytic roles of ubiquitination, and (4) Pathophysiological roles of proteostasis defects in diseases. His work bridges basic cell biology with translational medicine, particularly in neurodegeneration and anemia. Finley has secured NIH funding for projects like 'Regulation of Proteasome Activity' (R35GM145246) and 'Erythrocyte maturation through global proteome remodeling' (R01HL153970). Collaborations with industry and academic partners extend his impact in drug discovery and proteasome-targeted therapies. His lab’s contributions include defining ubiquitin chain editing mechanisms, identifying USP14’s role in mitophagy, and elucidating proteostasis defects in Alzheimer's models. Research tools developed include advanced cryo-EM analyses of proteasomal structures and functional assays for ubiquitin system enzymes.

• Particle Physics
• High Energy Physics
• Experimental Physics
• +۳ مورد دیگر

Prof. Dr. Günther Dissertori is a Full Professor and Rector of ETH Zurich, where he oversees teaching and academic affairs. His academic journey began at the University of Innsbruck, followed by a doctoral position at CERN, and he joined ETH Zurich as an Assistant Professor in 2001 before becoming a Full Professor in 2007. Academic Role: Full Professor of Particle Physics Institutional Leadership: Rector of ETH Zurich (since 2022) Contact: guenther.dissertori@sl.ethz.ch Research Interests: Dissertori's work spans Particle Physics and Experimental Physics , notably contributing to the CMS experiment at CERN, which was instrumental in the Higgs boson discovery. His group also developed cost-effective PET devices, leading to the spin-off Positrigo AG . Research keywords include Detector Development , Medical Imaging , and Quantum Physics . Teaching Excellence: Recognized with multiple Golden Owl awards (2005–2020) and the Credit Suisse Award for Best Teaching (2013), Dissertori is celebrated for his pedagogical impact in the Department of Particle Physics. Scientific Contributions: His publications include advancements in CMOS technology, quantum dynamics, and medical applications, reflecting interdisciplinary expertise in high-speed electronics, environmental science, and architectural history.

• Gynecologic Oncology
• Ovarian Cancer
• Breast Cancer
• +۵ مورد دیگر

Federica Tomao is an Associate Professor at the Department of Maternal, Child and Urological Sciences within Sapienza University of Rome. She actively teaches and supervises courses in Medicine and Surgery , Nursing , and Midwifery programs across multiple institutions. Current faculty member with academic rank Teaching roles in 6th, 3rd, and 2nd year courses Specialized in gynecologic oncology Research Focus : Her work spans ovarian cancer, breast cancer, and endometrial cancer, emphasizing chemotherapy optimization, precision medicine, and radiomics. Notably, she contributes to understanding PARP inhibitors, immune checkpoint therapies, and fertility preservation techniques in cancer survivors. Recent Publications highlight advancements in sarcopenia analysis, BRCA testing, and radiogenomic nomograms. These studies demonstrate her commitment to bridging imaging and molecular data for improved cancer management. Email : federica.tomao@uniroma1.it

Jillian Bohlenمشاهده پروفایل

دانشیار

• Animal Reproduction
• Dairy Science
• Reproductive Management
• +۵ مورد دیگر

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.

Catherine Laiمشاهده پروفایل

دانشیار

• Speech and Language Processing
• Computational Linguistics
• Prosody
• +۱۷ مورد دیگر

Catherine Lai is a Reader (~Associate Professor) in the Department of Linguistics and English Language at the University of Edinburgh, with strong affiliations to the Centre for Speech Technology Research (CSTR) and the Institute for Language, Cognition and Computation (ILCC) in the School of Informatics. She is based in the School of Philosophy, Psychology and Language Sciences and is actively involved in research, teaching, and academic service. Department: Department of Linguistics and English Language School: School of Philosophy, Psychology and Language Sciences Research Institutes: Centre for Speech Technology Research, Institute for Language, Cognition and Computation Email: C.Lai@ed.ac.uk Her research centers on the role of prosody—non-lexical aspects of speech—in spoken communication. She investigates how prosody contributes to discourse structure, information structure, and affect in dialogue, using interdisciplinary methods from linguistics and machine learning. Her work bridges theoretical linguistics and practical speech technology, aiming to improve spoken language understanding and synthesis systems. She is particularly interested in how prosody shapes listener expectations and how affect and topic are expressed and perceived in conversation. Her recent publications reflect a strong focus on self-supervised learning in speech models, emotion recognition, ASR error correction using large language models, cognitive state classification, and ethical considerations in language technology. She explores topics such as the uncanny valley in synthetic speech, gender expression through voice, and community-centered development of language technologies. Prize from Scopus Profile Catherine Lai has supervised several PhD students, including Leimin Tian and Yuanchao Li, and has been involved in significant research projects, such as a Toyota-funded initiative on spoken dialogue for robot companions. She has secured multiple grants and leads a research agenda that integrates theoretical inquiry with real-world applications in assistive technologies and social science. Her academic service includes organizing major conferences like Interspeech and UK and Ireland Speech. She is a key member of research teams at CSTR and ILCC, collaborating across disciplines to advance the understanding of spoken communication and the development of robust, ethical speech technologies.

• Neural Interfaces
• Micro/Nano Electro Mechanical Systems (MEMS)
• Biosystems & Computational Biology
• +۳ مورد دیگر

Michel M. Maharbiz is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley. He leads research on miniaturized bioelectronic interfaces, including neural dust implants and cyborg insects. He holds affiliations with the Berkeley Sensor & Actuator Center (BSAC), Center for Neural Engineering & Prostheses (CNEP), and SWARM Lab. His education includes a Ph.D. in EECS from UC Berkeley (2003) and a B.S. in EE from Cornell University (1997). Maharbiz's research integrates MEMS, ultrasonic systems, and synthetic biology to develop wireless neural interfaces, implantable sensors, and biohybrid devices. Key focus areas are neural dust technology for peripheral nerve recording, magnetoelastic strain sensors for medical applications, and electrochemical biosensing using bacterial flagellar motors. His publications emphasize neural interfaces, ultrasonic implants, and biomedical monitoring. Recent articles explore ultrasonic power delivery (2025), radiation detectors for oncology (2025), and fracture-healing smart plates (2019). Trends include miniaturization of wireless implants, closed-loop therapeutic systems, and novel biomaterials. Scientific Awards: McKnight Technological Innovations in Neuroscience Award (2017) Chan-Zuckerberg Biohub Investigator (2017) NSF CAREER Award (2009) MIT TR10 Top Emerging Technology (2009) Bakar Fellows Spark Award (2012) He directs the Maharbiz Lab, advancing neural dust and bioelectronic interfaces. Projects include impedance-based fracture monitoring, carbon fiber neural arrays, and hernia repair sensors. Funding includes NSF and industry partnerships for implantable device development.

• Data Science
• Machine Learning
• Computational Harmonic Analysis
• +۶ مورد دیگر

Pierre Vandergheynst is a Full Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) in the Department of Electrical Engineering, with a courtesy appointment in Computer and Communication Sciences. He serves as EPFL’s Vice-Provost for Education since 2015 and leads the Signal Processing Laboratory 2 (LTS2). His research spans harmonic analysis, sparse approximations, mathematical data processing, and applications in signal/image processing, computer vision, machine learning, and graph-based data analysis. PhD in Mathematical Physics (1998), Université catholique de Louvain Postdoctoral Researcher at EPFL (1998-2001) Assistant Professor at EPFL (2002-2007) His research explores geometry/symmetry in high-dimensional data, redundant dictionaries for dimensionality reduction, and computational harmonic analysis on manifolds. Recent work focuses on protein structure modeling, geometric deep learning, and graph-based signal processing. Key article trends include graph neural networks for protein analysis, geometric deep learning in neuroscience, and structured knowledge priors in neural models. His 2023-2025 publications emphasize interpretable AI, long-range dependencies in graphs, and molecular representation learning. Scientific Awards: IEEE Signal Processing Magazine Best Paper Award (2023) Signal Processing Society Best Paper Award (2022) Apple ARTS Award (2007) De Boelpaepe Prize, Royal Academy of Sciences of Belgium (2009-2010) He has supervised over 30 PhD theses and contributed to foundational work in graph signal processing, compressive sensing, and geometric deep learning. His lab develops tools for data science on non-Euclidean structures, with applications in medicine, astronomy, and wireless systems.

Alexis Battleمشاهده پروفایل

دانشیار

• Genomics
• Machine Learning
• Computational Biology
• +۳ مورد دیگر

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

Martin T. Wellsمشاهده پروفایل

استاد

• Applied Statistics
• Theoretical Statistics
• Bayesian Statistics
• +۷ مورد دیگر

Martin T. Wells is the Charles A. Alexander Professor of Statistical Sciences at Cornell University, with joint appointments in the Department of Statistical Science, Department of Biological Statistics and Computational Biology, Department of Social Statistics, and as Professor of Clinical Epidemiology and Health Services Research at Weill Medical School. He serves as Editor-in-Chief of the ASA-SIAM Book Series and Co-Editor of the Journal of Empirical Legal Studies. Cornell University, Ithaca, NY Weill Cornell Medical College Research Interests span applied and theoretical statistics, Bayesian methods, biostatistics, clinical epidemiology, and computational biology. His work bridges disciplines like finance, legal studies, and health services research. Article Trends highlight advancements in Bayesian modeling, quantum cognition machine learning, tensor analysis, and misclassification correction, with applications in genomics, finance, and public health. Fellow of the American Statistical Association Fellow of the Royal Statistical Society Contributions include developing statistical software (e.g., rTensor), methodological innovations in clinical trials, and empirical legal studies on civil rights and the death penalty.

Un J. Kangمشاهده پروفایل

استاد

• Parkinson's disease
• Movement disorders
• Basal ganglia circuit
• +۶ مورد دیگر

Un J. Kang, MD is the Founders Professor of Neurology at NYU Grossman School of Medicine and Professor in the Department of Neuroscience and Physiology. He serves as Director of Translational Research at the Marlene and Paolo Fresco Institute for Parkinson's and Movement Disorders and Co-Director of the Parekh Center for Interdisciplinary Neurology. His clinical practice focuses on Parkinson's disease and related movement disorders including tremor, dystonia, and Huntington's disease. Dr. Kang earned his MD from Johns Hopkins University in 1982, completed residency in Neurology at NY Presbyterian - Columbia University Medical Center in 1986, and specialized in Movement Disorders through fellowship training at the same institution in 1987. His research investigates the pathogenesis of Parkinson's disease and mechanisms of therapy, with particular focus on basal ganglia circuit plasticity, neural adaptation to dopamine loss, and development of biomarkers for neurodegenerative disorders. He pioneered experimental gene therapy approaches for Parkinson's disease and now directs the Kang Lab where his team studies how brain circuitry is perturbed by dopamine loss and pharmacological treatment in mouse models. Dr. Kang's research portfolio includes multiple NIH-funded projects examining striatal cholinergic interneuron dysfunction, freezing of gait mechanisms, and biomarker development for Parkinson's disease. His laboratory has published extensively on Parkinson's disease mechanisms with 178 publications to date, including significant recent work on alpha-synuclein detection methods and striatal pathway alterations in Parkinsonian motor deficits. Before joining NYU Langone in 2019, Dr. Kang created and led a multidisciplinary research team at the University of Chicago for two decades and previously served as chief of the movement disorders division at Columbia University. He leads the BioFIND consortium as principal investigator, banking biospecimens for Parkinson's disease biomarker discovery.

• Natural Products Research
• Phytomedicine
• Herbal Product Standardization
• +۷ مورد دیگر

Roles & Affiliations: Ikhlas Khan serves as Director of the National Center for Natural Products Research (NCNPR), Distinguished Professor, and Research Professor of Pharmacognosy at the University of Mississippi's School of Pharmacy. He also leads the FDA Program and coordinates natural products research across multiple initiatives, including the Sino-US TCM Research Center and the Center for Research of Indian Systems of Medicine (CRISM). Education: B.Sc. Chemistry (1980) - Aligarh Muslim University, India M.Sc. Organic Chemistry (1982) - Aligarh Muslim University, India Ph.D. Pharmacy (1987) - Ludwig-Maximilians-Universität, Munich Postdoctoral Studies - Swiss Federal Institute of Technology (ETH), Zurich Research Focus: Dr. Khan specializes in natural products research with emphasis on: Phytomedicine: Standardization of herbal products via analytical fingerprinting, pesticide/herbicide residue analysis, and bioanalytical quality control. Drug Discovery: Isolation of bioactive natural products, development of analytical methods for phytochemical characterization, and chiral separation techniques. Metabolism Studies: Role of metabolism in drug/natural product activity, particularly in aminoquinoline antimalarials. His work bridges academia, industry, and regulatory bodies, shaping policies for botanical supplements. Key Contributions: Over 850 peer-reviewed publications and leadership in high-impact projects like the FDA Center of Excellence. His lab pioneered methods to combat herbal product adulteration and safety issues. Awards & Recognition: UM Distinguished Professor Award (2018) Wiley Award (AOAC International, 2018) Qihuang International Prize (2017) Honoris Causa Doctorate (University of Hamdard, 2012) Labs & Collaborations: Directs the NCNPR, a global leader in natural products research, and collaborates with institutions worldwide. His team develops technologies for herbal product authentication and drug metabolism studies.

Allison Ross Eckardمشاهده پروفایل

استاد

• HIV-related cardiometabolic complications
• Antiretroviral therapy optimization
• Pediatric infectious diseases
• +۷ مورد دیگر

Allison Ross Eckard, MD is Professor in the Departments of Pediatrics and Medicine at the Medical University of South Carolina (MUSC) College of Medicine, serving as Division Chief for Pediatric Infectious Diseases and Director of MUSC's Ryan White Pediatric HIV Clinic and HIV Transition Clinic. She maintains an adjunct faculty position at Emory University and holds board certification in Pediatrics and Pediatric Infectious Diseases. Her primary research focuses on metabolic, cardiovascular, and nutritional complications of chronic HIV and antiretroviral therapy across age groups, with emphasis on inflammation's role in comorbidities like cardiovascular disease and bone disorders. Current investigations include NIH R01-funded research on interventions for weight gain and abdominal fat in HIV, vitamin D supplementation, and statin therapy. She has published nearly 60 peer-reviewed papers on HIV pathogenesis and treatment optimization. Dr. Eckard co-chairs the DHHS panel for Guidelines for the Prevention and Treatment of Opportunistic Infections in HIV-Exposed and HIV-Infected Children and serves on the DHHS panel for Guidelines for the Use of Antiretroviral Agents in Adults and Adolescents with HIV . Her clinical work specializes in comprehensive HIV care for children through young adults, with particular focus on adolescent/young adult transition issues and global health initiatives through Lespwa Timoun in Haiti. Recent efforts include developing COVID-19 treatment guidelines for children and school safety protocols. HIV Specialist certification (American Academy of HIV Medicine) Fellow, Infectious Diseases Society of America Fellow, Pediatric Infectious Diseases Society Fellow, HIV Medical Association Member, HIV Medical Association's 'Ending the HIV Epidemic' working group She leads MUSC's HIV education initiatives and serves as inpatient consultant for pediatric infectious diseases, with advanced training in tropical medicine. Her NIH-funded research examines targeted interventions to minimize comorbidity development in HIV, while her clinical leadership spans the Ryan White HIV program, transition clinics, and global health partnerships.

• Lymphoma
• Hodgkin Lymphoma
• Non-Hodgkin Lymphoma
• +۵ مورد دیگر

Jonathan W. Friedberg, M.D., M.M.Sc. is the Director of the Wilmot Cancer Institute and Professor in the Department of Medicine, Hematology/Oncology at the University of Rochester School of Medicine and Dentistry. He holds the Samuel E. Durand Chair in Medicine and leads one of the nation's premier lymphoma programs. Dr. Friedberg is internationally recognized for his expertise in lymphoma treatment, particularly in developing novel therapies and clinical trial approaches. Dr. Friedberg's research focuses on lymphoma, with particular expertise in Hodgkin lymphoma, non-Hodgkin lymphoma, Waldenstrom macroglobulinemia, and chronic lymphocytic leukemia. His work spans the entire treatment continuum from diagnosis through novel therapies including autologous stem cell transplantation and CAR-T cell interventions. He has built a comprehensive lymphoma program with expertise spanning hematopathology, radiation oncology, dermatology, and neurology, in addition to hematology and medical oncology. His research interests include developing risk-adapted treatment strategies, investigating novel therapeutic agents, and improving outcomes for patients with various lymphoma subtypes. Dr. Friedberg's extensive publication record demonstrates his leadership in lymphoma research, with recent work focusing on immunotherapy combinations, predictive modeling, risk stratification, and novel treatment approaches for various lymphoma subtypes. His research has significantly contributed to the understanding and treatment of lymphomas, particularly in developing more personalized and effective treatment strategies. Scientific Awards: Faculty Academic Mentoring Award (2012) Scholar in Clinical Research (2008) America's Top Doctors Selection (2008) Jacob Gitelman Award (2007) Lawrence A. Kohn Senior Teaching Fellow (2004-2006) Clinical Investigator Career Development Award (2003) Clinical Oncology Research Fellowship "Immunotherapy of Hodgkin's Disease" (2001-2003) Rising stars program for innovative research (2001-2003) As Director of the Wilmot Cancer Institute, Dr. Friedberg leads numerous clinical trials and research initiatives focused on advancing lymphoma treatment. He is actively involved in SWOG and has served in leadership roles for multiple clinical trials investigating novel therapies for lymphoma patients. His practice team includes Anna Morrison, R.N., and Kerri Hugelmaier, N.P., providing comprehensive care for lymphoma patients. Dr. Friedberg has established the Lymphoma Epidemiology of Outcomes (LEO) Consortium, a large observational cohort study supporting broad research on NHL prognosis and survivorship. His leadership extends to national organizations where he contributes to developing clinical practice guidelines and consensus recommendations for lymphoma treatment.

Najim Dehakمشاهده پروفایل

دانشیار

• Machine Learning
• Speech Processing
• Audio Classification
• +۷ مورد دیگر

Najim Dehak is an Associate Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University, part of the Whiting School of Engineering. His research focuses on machine learning applied to speech processing, audio classification, and health applications. He is renowned for developing the I-vector representation for speaker recognition, introduced in 2008 during a workshop at Johns Hopkins’ Center for Language and Speech Processing. Prior to this role, he was a research scientist at MIT’s Computer Science and Artificial Intelligence Laboratory. Dehak holds a PhD from the School of Advanced Technology in Montreal (2009). He is a Senior Member of IEEE and contributes to the IEEE Speech and Language Technical Committee. His work bridges AI, healthcare, and signal processing, with notable contributions to neurodegenerative disease detection via speech and handwriting analysis. Research interests include adversarial attacks on speech systems, multimodal biomarker discovery, and robust speech processing across demographics. His lab’s tools, like the Hermespeech Recorder, enable scalable data collection for clinical and research applications. Education: PhD in Advanced Technology (2009), Montreal Affiliations: Johns Hopkins University, IEEE Labs/Teams: Center for Language and Speech Processing (CLSP) His recent work explores AI’s role in aging research, including Alzheimer’s and Parkinson’s disease detection through speech, eye tracking, and handwriting analysis. Ongoing projects address fairness in speaker verification and robustness against adversarial attacks in ASR systems.

Praneet Prakashمشاهده پروفایل

پژوهشگر

• Biophysics
• Soft Matter Physics
• Statistical Mechanics
• +۳ مورد دیگر

Dr. Praneet Prakash is a Researcher in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, working under Prof. Raymond Goldstein. His research focuses on interdisciplinary approaches combining microfluidics, microscopy, and theoretical physics to study biological systems. Key areas include microbial motility, active matter dynamics, and the interplay between physics and living systems. He utilizes experimental techniques such as microfluidics and advanced microscopy to investigate phenomena like bacterial swimming, nutrient exchange in microbial communities, and growth oscillations in filamentous fungi. His work bridges Soft Matter Physics, Statistical Mechanics, and Biophysics, with applications ranging from understanding microorganism behavior to developing biosensor technologies. Recent studies explore phototactic algae behavior, ciliary surface interactions in animalcules, and adaptive motility in marine microorganisms. Publications highlight contributions to microbial ecology, active matter systems, and biophysical modeling. While no formal awards are listed, his research has been published in high-impact journals like Journal of the Royal Society Interface and Physical Review Fluids . He is affiliated with the Biological Physics and Mechanics research group and maintains an active presence on academic platforms like Twitter and LinkedIn.