Find Academic Supervisors

• Biostatistics
• Genetics
• Maternal & Child Health
• +4 more

Heping Zhang is the Susan Dwight Bliss Professor of Biostatistics at the Yale School of Public Health , with secondary appointments in the Child Study Center , Department of Statistics and Data Science , and Department of Obstetrics, Gynecology, and Reproductive Sciences . He directs the Collaborative Center for Statistics in Science (C²S²) and leads the Reproductive Medicine Network data coordinating center. Education: PhD in Statistics, Stanford University (1991) Postdoctoral Fellow, Mathematical Science Research Institute (1991) Research Focus : Zhang specializes in biostatistical methodology for genomic data analysis , clinical trials , and reproductive medicine . His work bridges genetics , mental health , and maternal-child health through innovative statistical approaches. Awards : 2023 Web of Science Highly Cited Researcher 2023 International Chinese Statistical Association Distinguished Achievement Award 2022 Institute of Mathematical Statistics Neyman Award and Lecture 2011 Royan Institute International Research Award 2011 Institute of Mathematical Statistics Medallion Award 2008 Harvard School of Public Health Myrto Lefokopoulou Distinguished Lecturer Professional Roles : He served as President of the International Chinese Statistical Association (2019) and Former Editor of the Journal of the American Statistical Association - Applications and Case Studies . His lab develops open-source software tools like ABESS , STREE , and modSaRa for genomic and clinical data analysis.

Jennifer L ClarkeView profile

Professor

• Statistical Methodology
• Bioinformatics/Computational Biology
• Data Mining/Machine Learning
• +3 more

Jennifer L. Clarke is a Professor in the Department of Statistics at the University of Nebraska–Lincoln and Director of the Quantitative Life Science Initiative. She holds leadership roles in enabling big data integration across the University of Nebraska system through collaborative research programs. Her affiliations include the Institute of Agriculture and Natural Resources (IANR) and the College of Agriculture and Natural Resources. Dr. Clarke's research focuses on statistical methodology for high-dimensional data, computational biology, bioinformatics, and bacterial genomics. Her work bridges statistical innovation with applications in oncology, microbiome analysis, and agricultural phenomics. Key areas include predictive modeling, machine learning, and genomic/metagenomic data integration. Her recent publications span cancer biomarker discovery, plant phenotyping methodologies, and microbial community analysis, reflecting her interdisciplinary approach. Articles emphasize translational applications like therapeutic target identification and precision agriculture. Dr. Clarke leads initiatives fostering collaboration between statisticians and domain scientists, including the Quantitative Life Science Initiative and contributions to the Agricultural Genome-to-Phenome Initiative (AG2PI). Her work advances data-driven solutions for healthcare and food security challenges. Notable projects include developing statistical tools for microbiome studies, analyzing root architecture via 3D imaging, and investigating cranberry-derived compounds' cancer-inhibitory mechanisms. Her methodological contributions include hybrid clustering techniques and predictive model validation frameworks.

• Nuclear Magnetic Resonance (NMR)
• In vivo imaging
• MRI pulse sequence development
• +7 more

Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +12 more

Professor Hala Zreiqat AM is a leading biomedical engineer at The University of Sydney , serving as the Director of the ARC Training Centre for Innovative BioEngineering . A Fellow of all major Australian academies (AAS, ATSE, FAHMS, FRSN), she develops 3D printed bioceramics for bone regeneration while championing diversity through initiatives like the IDEAL Society and BIOTech Futures mentorship program. Her work bridges academia, clinical practice, and industry in musculoskeletal research . Research Focus: Her lab creates synthetic bone scaffolds that mimic natural bone architecture, strength, and porosity, enabling non-rejected bone regeneration via patient-matched implants. Key applications include orthopaedic, dental, and maxillofacial repair , with over $18M in competitive funding and multiple patents. Current projects explore AI-driven scaffold performance prediction and anti-senescence strategies for aging-related bone loss. Scientific Trends: Recent publications highlight 3D printed nanovoxelated ceramics , antisenescence biomaterials , and multifunctional theranostic platforms . Her team integrates machine learning for scaffold design, atom probe tomography for interface analysis, and two-photon imaging for cellular monitoring in 3D environments. 2021-2022 Fulbright Senior Scholar 2018 NSW Premier's Woman of the Year 2019 Eureka Prize for Innovative Use of Technology Fellow of Australian Academy of Science (2021) Over $18M in research funding Teaching & Leadership: She designed core courses like Tissue Engineering and Nanomaterials in Medicine , mentoring 158 students in 2020 alone. As Chair of CAAR (2020-2023), she strengthens Australia-Arab collaborations. Her lab trains early-career researchers , with alumni now in academia and industry.

Sunitha NagrathView profile

Professor

• Bio-MEMS and Microfluidics
• Nanotechnology
• Circulating Tumor Cells
• +3 more

Sunitha Nagrath is a Professor of Chemical Engineering at the University of Michigan, leading the Nagrath Lab. Her research focuses on developing microfluidic and nanotechnology-based tools to isolate and analyze circulating tumor cells (CTCs) and extracellular vesicles (EVs) for cancer diagnostics and personalized medicine. She holds an AIMBE Fellowship and has pioneered technologies like the Graphene Oxide Chip and Microfluidic Labyrinth. Education PhD in Mechanical Engineering, Rensselaer Polytechnic Institute (2004) MS in Nuclear Engineering, Rensselaer Polytechnic Institute (2000) B.Tech in Chemical Engineering, Sri Venkateswara University (1992) Research Interests Her lab integrates engineering, biology, and clinical expertise to study CTCs' role in metastasis, develop high-throughput isolation methods, and leverage exosomes as liquid biopsy biomarkers. Key projects include: CTC-based monitoring of therapy response in lung and pancreatic cancers Microfluidic devices for simultaneous CTC and exosome analysis Functional studies of CTC-derived organoids for drug sensitivity testing Notable Achievements AIMBE Fellow (Junior Faculty, Harvard Medical School/MGH, 2008-2010) Over 150 peer-reviewed publications and patents on CTC/exosome technologies Recipient of the 2021-22 Chemical Engineering Staff Incentive Award (via lab member Mina Zeinali) Labs & Collaborations The Nagrath Lab collaborates with clinicians and engineers to translate technologies like the OncoBean Chip and EVOD chip into clinical settings. Current work emphasizes real-time CTC monitoring and exosome-based immuno-oncology strategies.

• Medical Informatics
• Artificial Intelligence in Healthcare
• Healthcare Data Integration
• +7 more

Prof. Martin Boeker is a Professor of Medical Informatics at the Technical University of Munich (TUM), affiliated with the TUM School of Medicine and Health. His work focuses on advancing healthcare through AI-driven solutions, interoperability frameworks, and precision medicine initiatives. Key projects include the German Medical Text Corpus (GeMTeX) and the MIRACUM DIFUTURE Alignment Hub. Expertise: Medical Informatics, AI in Healthcare, Federated Learning, Health Data Integration Key Contributions: FHIR-based systems, clinical decision support, patient-centered outcomes research Leadership: Director of the Institute for AI and Informatics in Medicine at TUM Hospital Right of the Isar Research emphasizes bridging clinical practice and data science through projects like modular health crawlers, automated guideline adherence monitoring, and cross-institutional medical NLP solutions. His work spans oncology informatics, rare disease management, and pandemic response data ecosystems. Recent articles highlight innovations in digital twins for precision oncology, federated analysis in oncology, and German-language medical NLP challenges. He collaborates internationally on EHR standardization and healthcare interoperability, contributing to the Medical Informatics Initiative (MII) and pandemic evidence ecosystems. Grants and collaborations involve the German Federal Ministry of Education and Research, European initiatives, and industry partnerships. Educational efforts focus on training future medical informatics professionals through MII competency programs.

• Time Series Analysis
• Big Data Analytics
• Predictive Modeling
• +3 more

Yasushi Sakurai is a Professor in the Department of Translational Datability at Osaka University's Institute of Scientific and Industrial Research, co-leading the Sakurai and Matsubara Laboratory within the Center for Industrial Science and AI. His research mission focuses on transforming society through real-time prediction of natural and social phenomena using large-scale data analytics, with emphasis on practical technological implementation. His research spans time-series big data analysis, dynamic learning systems, and real-time information provision. Key areas include tensor stream mining, EEG-based healthcare applications, cybersecurity anomaly detection, and multi-omics cancer subtyping. The lab specializes in developing deployable technologies that optimize social activities through predictive modeling of evolving data streams. Recent publications (2023-2025) reveal concentrated innovation in time-series data stream processing, with dominant themes in tensor analytics, frequency-domain forecasting, and causal modeling. His team produces high-impact work accepted at premier AI venues (ICLR, AAAI, KDD, WWW), consistently featuring oral presentations that highlight technical novelty and societal relevance. Scientific Awards: FY2024 Minister of Education, Culture, Sports, Science and Technology Award for Science and Technology (Research Category) for dynamic learning and real-time data stream analysis Professor Sakurai mentors graduate students including Naoki Chihara (DEIM2024 Outstanding Paper Award winner), Yuka Tamura (DEIM2024 Student Presentation Award winner), and Ren Fujiwara. His lab maintains active industry-academia partnerships focused on practical technology deployment, with research directly addressing real-world challenges in healthcare monitoring and cybersecurity. The Sakurai and Matsubara Laboratory operates as a dynamic research unit within Osaka University's Center for Industrial Science and AI, structured around specialized teams for tensor stream analysis, medical data mining, and network dynamics. Current projects emphasize real-time prediction systems with immediate societal applications, supported by strong industry collaboration frameworks.

Hongtu ZhuView profile

Professor

• Biostatistics
• Medical Image Analysis
• Precision Medicine
• +4 more

Dr. Hongtu Zhu is the Kenan Distinguished Professor of Biostatistics, Statistics, Radiology, Computer Science, and Genetics at the University of North Carolina at Chapel Hill (UNC). He holds affiliations with the Gillings School of Global Public Health and leads the Biostatistics and Imaging Genomics Analysis Lab. His expertise spans statistical learning, medical imaging, AI, and big data integration, with a focus on precision medicine and biomedicine. Dr. Zhu earned his PhD in Statistics from The Chinese University of Hong Kong (2000) and has held prior roles including DiDi Fellow/Chief Scientist (2018-2020) and Bao-Shan Jing Endowed Professor at MD Anderson Cancer Center (2016-2018). He has published over 345 peer-reviewed articles in top-tier journals like Nature, Science, and JASA, and actively contributes to editorial roles including Coordinating Editor of JASA. His research interests include neuroimaging analysis, knowledge graphs, and AI applications in healthcare. Notable awards include the COPSS Snedecor Award (2025), IEEE Fellowship (2025), and IMS Medallion (2027). He has mentored over 80 PhD students/postdoctoral fellows and serves on NIH grant review panels and professional organizations like the ASA's Section on Statistics in Imaging. Key Contributions: Imaging genomics, brain connectivity studies, ridesharing market optimization, medical AI frameworks Lab Innovations: Brain Imaging Genetics Knowledge Portal, Biomedical Knowledge Graph Interface Teaching: Advanced biostatistics courses (Generalized Linear Models, Deep Learning in Biomedicine) Recent work explores causal inference in healthcare, X chromosome's role in neurobiology, and AI ethics in medical vision-language models. His interdisciplinary projects bridge statistics, computer science, and clinical practice to address complex biomedical challenges.

Mona SinghView profile

Professor

• Computational Biology
• Machine Learning
• Algorithms
• +3 more

Mona Singh is a Professor of Computer Science at Princeton University, with affiliations to the Lewis-Sigler Institute for Integrative Genomics and the Department of Molecular Biology. She has been a faculty member since 1999. Ph.D., Massachusetts Institute of Technology, 1995 A.B. and S.M. degrees in Computer Science from Harvard University Her research focuses on computational molecular biology, integrating machine learning and algorithms to analyze biological networks, protein interactions, and mutational impacts. Key areas include DNA/RNA binding prediction, protein structure analysis, and network-based disease gene discovery. Her recent work highlights trends in protein language models, kinase-substrate prediction, and equitable MHC binding algorithms. These span sub-fields like structural bioinformatics, network biology, and functional genomics. Scientific Awards: Presidential Early Career Award for Scientists and Engineers (PECASE) Rheinstein Junior Faculty Award ACM Fellow (2019) ISCB Fellow (2018) She has taught an introductory computational biology course with Professor Coleen Murphy, covering sequence analysis, phylogenetics, and network reconstruction. Her group has developed tools like dPUC , nCOP , and DiffMut . Her lab collaborates with institutions including Carnegie Mellon, Duke University, and the Broad Institute, advancing applications in cancer genomics, metabolic disease, and precision medicine.

Michael LampsonView profile

Professor

• Cell and Developmental Biology
• Evolution
• Cell biology of meiotic drive
• +7 more

Michael Lampson is Professor of Biology at the University of Pennsylvania's School of Arts and Sciences, with secondary appointments in the Department of Cell and Developmental Biology. He serves as faculty in the Cell and Molecular Biology (CAMB) and Biochemistry and Molecular Biophysics (BMB) Graduate Groups, and is affiliated with the American Society for Cell Biology (ASCB). Ph.D., Cornell University, Weill Medical College, 2002 AB, Harvard College, 1994 Dr. Lampson's research program focuses on fundamental mechanisms of chromosome biology, with particular emphasis on cell division, centromere inheritance, and meiotic drive. His lab investigates how selfish genetic elements can violate Mendel's First Law through meiotic drive, the stability of centromere chromatin through the germline, and the role of repetitive satellite DNA in chromosome segregation. Using innovative approaches including mouse model systems, optogenetic tools, and biochemical techniques, his work bridges cell biology, genetics, and evolutionary biology to address questions with implications for reproductive biology, cancer, and genetic inheritance. Analysis of Dr. Lampson's recent publications reveals a strong focus on the intersection of centromere biology, meiotic drive, and chromosome segregation mechanisms. His work increasingly incorporates computational approaches alongside experimental systems to study evolutionary aspects of centromere function. The research demonstrates consistent innovation in methodology, particularly in developing optogenetic tools for precise manipulation of cellular processes. Key themes include the role of satellite DNA variation, mechanisms of non-Mendelian inheritance, and the stability of chromatin structures through cell division and development. Searle Scholar Award American Association for the Advancement of Science (AAAS) fellow Dr. Lampson's research is supported by multiple NIH grants including from NIGMS, NHGRI, NICHD, and NCI, as well as University of Pennsylvania funding sources including the University Research Foundation, Abramson Cancer Center, and several specialized research centers. He collaborates extensively with researchers across disciplines, including Ben Black (Biochemistry), Dennis Discher (Chemical Engineering), Dave Chenoweth (Chemistry), and Roger Greenberg (Cancer Biology), reflecting the interdisciplinary nature of his work. His lab has trained numerous graduate students and postdocs who have gone on to successful careers in academia and industry. The Lampson Lab maintains state-of-the-art facilities for cell biological, genetic, and biochemical research, with specialized equipment for live-cell imaging, optogenetic manipulation, and mouse genetics. The lab fosters a collaborative environment that bridges molecular, cellular, and evolutionary perspectives on chromosome biology.

Ruth EtzioniView profile

Adjunct Professor

• Cancer Screening
• Prostate Cancer Research
• Biomarkers
• +5 more

Ruth Etzioni is an Affiliate Professor in the Biostatistics Program and Public Health Sciences Division at the Fred Hutchinson Cancer Center. She leads the Etzioni Lab, focusing on cancer screening, early detection, and overdiagnosis analysis. Her work integrates statistical modeling, epidemiology, and clinical research to address critical questions in prostate and breast cancer control. Dr. Etzioni holds the Rosalie & Harold Rea Brown Endowed Chair and has received a $7.4M NIH Outstanding Investigator Award. Education: PhD in Statistics (Carnegie Mellon University, 1990), MS in Statistics (Carnegie Mellon, 1987), BS in Mathematics (University of Cape Town, South Africa). Research interests emphasize biomarkers, clinical trials, and epidemiological methods. She leads the Biostatistics Core for the Pacific Northwest Prostate Cancer SPORE and participates in the Cancer Intervention and Surveillance Modeling Network (CISNET). Her lab develops models to evaluate screening policies, quantify overdiagnosis, and inform healthcare disparities reduction strategies. Key achievements include groundbreaking work on prostate cancer screening's harm-benefit tradeoffs and contributions to multi-cancer early detection (MCED) frameworks. Recent studies address racial disparities in prostate cancer outcomes, metastasis trends, and the clinical utility of novel diagnostics like PSMA PET imaging. Awards include the Brown Endowed Chair (2020), NCI OIA Award (2023), and recognition for advancing cancer data science. Her lab collaborates with institutions globally and mentors students in biostatistics and translational data science.

• DNA Repair
• Mitochondrial Biology
• Aging
• +5 more

Vilhelm Bohr is an Affiliate Professor at the Department of Cellular and Molecular Medicine , University of Copenhagen, affiliated with the Molecular Aging Program and Center for Healthy Aging . His research explores the interplay between DNA maintenance , mitochondrial biology , and aging , particularly in age-associated neurodegeneration and Alzheimer’s disease. Research Interests include: Molecular mechanisms linking NAD + metabolism to mitochondrial dysfunction and neurodegeneration Role of tau pathology in DNA damage and mitochondrial stress Impact of Aprataxin (APTX) and RECQL4 helicase defects on mitochondrial DNA integrity Pharmacological strategies to improve mitochondrial health via autophagy modulation Publications (2025-2024) span topics like NAD + biosynthesis, Werner/Rothmund-Thomson syndromes, tau nuclear functions, and mitochondrial turnover, with high citations and media attention. Collaborations extend to clinical tumor samples and CRISPR-based disease models.

• Neurosurgery
• Functional Neurosurgery
• Neuromodulation
• +3 more

Zion Zibly, MD, MBA is an Associate Professor in the Department of Neurosurgery at Yale School of Medicine . He holds multiple leadership roles including Director of the Center of Neuromodulation , Director of the Center of Neurosurgical Cancer Pain , and Head of Stereotactic & Functional Neurosurgery and the Focused Ultrasound Institute . Previously served as Chair of Neurosurgery at Sheba Medical Center after graduating from Technion’s Faculty of Medicine (MD) and Coller School of Management (MBA). Research Interests: Specializes in Neuromodulation for movement disorders (Parkinson’s, tremors, dystonia), Deep Brain Stimulation , Gene Therapy for pediatric neurodegenerative conditions, Oncological Neurosurgery , and Neurological Pain Management . Combines Functional Neurosurgery with Focused Ultrasound technology. Scientific Contributions: Participated in pioneering Alzheimer’s brain stimulator procedures and Gene Therapy applications. Active member of the North American Association of Functional Neurosurgery and Israeli Neurosurgical Society . Clinical Expertise: Implantation of electrostimulators for Parkinson’s and essential tremor, treatment of Benign/Malignant CNS Tumors , and management of Neurological Pain Conditions . Affiliated with Yale Cancer Center and Center for Brain & Mind Health .

Outi Salo-AhenView profile

Senior Lecturer

• Pharmaceutical Chemistry
• Molecular Modeling
• Drug Design
• +5 more

Senior Lecturer Outi Salo-Ahen is affiliated with Åbo Akademi University's Faculty of Natural Sciences and Engineering , Department of Pharmacy. Her research focuses on computational pharmacology, drug design, and pharmaceutical chemistry, particularly targeting chemokine receptors (CCR5/CXCR4) and transient receptor potential channels (TRPA1) for therapeutic applications. Doctor of Pharmacy (2006, University of Kuopio/UEF) MSc in Pharmaceutical Chemistry (2001, UEF) BSc in Pharmacy (1999, UEF) University Pedagogy Modules 1-5 (2012-2015) Her work contributes to UN Sustainable Development Goals through education and pharmaceutical innovation . Recent research trends include: Antimicrobial resistance solutions TRPA1 channel modulation Nanotechnology-enabled drug delivery Multi-target HIV-1 inhibitors 3D printing of biocompatible materials Computational analysis of nucleic acid frameworks She actively supervises doctoral projects, serves on assessment panels, and leads collaborations like Nordic Pharmaceutical Translation and Innovation. Her 60+ publications demonstrate expertise in molecular modeling and drug discovery.

• Optics in Medicine
• Cancer Imaging
• Photodynamic Therapy
• +5 more

Brian W. Pogue, Ph.D., is the Robert A. Pritzker Chair in Biomedical Engineering at Dartmouth College's Thayer School of Engineering, with a joint appointment as an Honorary Fellow in Medical Physics at the University of Wisconsin-Madison. His academic background includes a Ph.D. in Medical/Nuclear Physics from McMaster University and a Research Fellowship at Harvard Medical School's Wellman Center for Photomedicine. He has led significant administrative roles, including Dean of Graduate Studies at Dartmouth (2008–2012) and Chair of Medical Physics at Wisconsin (2022–2025). Research Focus : Dr. Pogue pioneers Optics in Medicine , specializing in cancer imaging, photodynamic therapy, and surgical guidance. His work integrates fluorescence imaging, radiation therapy monitoring, and molecular diagnostics to improve cancer treatment precision. Key innovations include Cherenkov imaging for radiotherapy dosimetry and hypoxia-sensitive probes for tumor resection. Publication Trends : Recent articles (2023–2025) emphasize real-time surgical guidance, hypoxia quantification, and multimodal imaging systems. Dominant themes include fluorescence tomography, radiation dosimetry, and low-cost diagnostic devices, reflecting a translational focus from preclinical validation to clinical applications. Awards & Honors : Fellow, Optica (formerly OSA) Fellow, American Institute for Medical and Biological Engineering (AIMBE) Fellow, American Association of Physicists in Medicine (AAPM) Fellow, SPIE (International Society for Optics and Photonics) Funding & Innovation : Continuously funded by the NIH since 2001 ($52M+ total), Dr. Pogue founded three startups: DoseOptics LLC (radiotherapy dose imaging) and Hypoxia Surgical LLC (tissue hypoxia cameras), bridging academic research to clinical tools.