Find Academic Supervisors

• Hematology-Oncology
• Acute Myeloid Leukemia (AML)
• Genomics
• +3 more

Dr. Josée Hébert is a Full Professor at the Faculty of Medicine, Université de Montréal and holder of the Industrial-Alliance Chair in Leukemia Research . She leads the Quebec Leukemia Cell Bank (BCLQ) , a provincial infrastructure since 2003, and is affiliated with the Maisonneuve-Rosemont Hospital Research Center (CRHMR) and the Immunology and Cancer Research Institute (IRIC) . As a hematologist at HMR, she integrates clinical care with research in acute myeloid leukemia (AML). Her research focuses on precision medicine in AML , including genomic sequencing of 700+ Quebec samples to identify prognostic markers and therapeutic targets. The Leucegene group , a multidisciplinary team, employs transcriptomics, proteomics, and chemogenomics to stratify AML subtypes. Key projects include high-throughput drug screening and surfaceome analysis for targeted therapies. Awards: 2017 Génome Canada Prize for precision genomics research (with Guy Sauvageau). Dr. Hébert has secured major grants from Génome Canada, Terry Fox Research Institute, and Cole Foundation . She supervises graduate students and collaborates on translational projects like engineered hematopoietic stem cell therapies and biomarker-driven treatment strategies. Her lab integrates clinical data with molecular profiling to improve risk-adapted therapies, emphasizing collaboration across institutions like McGill University and Université Laval.

Yuqiu YangView profile

Lecturer

• Cancer Biology
• Immunology
• Bioinformatics
• +3 more

Yuqiu (Ian) Yang is an Assistant Instructor at the Peter O’Donnell Jr. School of Public Health at The University of Texas Southwestern Medical Center. He holds a Ph.D. in Biostatistics from Southern Methodist University. His research focuses on cancer biology, immunology, and bioinformatics, with an emphasis on developing computational tools for biomedical data analysis and understanding mechanisms of therapy resistance in prostate cancer and immunotherapy outcomes. Yang’s work integrates biostatistical methods with oncological and immunological research to advance translational medicine. Key research areas include epigenetic regulation in cancer, T cell receptor-antigen interactions, and the application of Bayesian/deep generative models in immunology. He has contributed to methodologies like MetaNorm (for NanoString data normalization) and Cytomulate (CyTOF simulation), highlighting his expertise in computational biology and high-throughput data analysis. Publications since 2022 reflect a focus on prostate cancer mechanisms, immunotherapy efficacy biomarkers, and cross-species T cell receptor predictions. His interdisciplinary approach bridges statistics, genomics, and clinical oncology, addressing challenges in precision medicine and drug resistance.

• Biosensors
• Smart Sensors
• Microfabrication
• +3 more

Prof. Ronald Thoelen is an Ordinary Professor and Dean of the Faculty of Industrial Engineering Sciences at Hasselt University. He holds a Master's in Applied Physics from TU Eindhoven (2004) and a PhD in Physics from Hasselt University (2008). His research focuses on biosensors, smart sensors, microfabrication, and nanofabrication, with applications in biomedical engineering and materials science. He leads the Research Group Engineering Materials and Applications and the Institute for Materials Research. Prof. Thoelen supervises numerous PhD students, including ongoing projects on smart textiles, thermal-probing microdevices, and multiparameter sensing platforms. He coordinates courses like Digital Electronics, E-Health, and IoT. With over 40 research projects, his work spans lab-on-chip systems, wearable sensors, and thermal-based biosensing technologies. He chairs the IIW Department Council and has developed innovative sensor platforms for healthcare and environmental monitoring. His contributions include advances in microfluidic devices, printed electronics for wearables, and real-time cell monitoring techniques. Current projects explore neurodegenerative disease mechanisms and smart wound monitoring systems. Prof. Thoelen’s interdisciplinary approach bridges engineering, biology, and materials science to address challenges in health, agriculture, and environmental sustainability.

Hedda WardemannView profile

Professor

• Immunology
• Infectious Diseases
• Vaccine Development
• +3 more

Prof. Hedda Wardemann is a Professor and Division Head of B Cell Immunology at the German Cancer Research Center (DKFZ). Her career includes leadership roles such as heading a Young Investigator Group at the Max Planck Institute for Infection Biology (2006–2014), focusing on autoimmune diseases and malaria immunity. She transitioned to DKFZ to study cancer immunology, particularly how the immune system targets cancer cells. Her research integrates cutting-edge technologies like high-throughput antibody sequencing and single-cell analysis to understand protective immune responses. Her research interests span B cell biology, vaccine development, and the interplay between immunity and cancer. Collaborations include work on malaria vaccines with the Max Planck Institute and Charité clinics. She emphasizes translating immunological insights into clinical applications, such as identifying therapeutic antibodies and improving vaccine strategies. Wardemann’s team investigates human immune responses to pathogens and cancer, leveraging tools like spatial proteomics and flow cytometry. They also contribute to the NFDI4Immuno initiative to build an open immunological data infrastructure. Her work bridges fundamental immunology with translational medicine.

Alexandra M HarringtonView profile

Professor

• Hematopathology
• Myeloid Disorders
• Plasma Cell Myeloma
• +3 more

Alexandra M. Harrington, MD, MLS(ASCP)CM, is a Professor of Pathology at the Medical College of Wisconsin (MCW) and serves as the Faculty Pillar Director for the Robert D. and Patricia E. Kem Institute for the Transformation of Medical Education. She oversees hematology and coagulation services at Wisconsin Diagnostic Laboratories and teaches medical students, residents, and fellows in hematopathology and coagulation. Her clinical expertise includes anatomic and clinical pathology, with a focus on hematopathology and coagulation disorders. Education: She earned her Doctor of Medicine (MD) from MCW in 2004, followed by residency and chief residency in Anatomic & Clinical Pathology at MCW Affiliated Hospitals (2004–2008). She completed a Hematopathology fellowship at MCW (2008–2009). Board certifications include Anatomic and Clinical Pathology, Hematology, and Pathology. Research Interests: Dr. Harrington’s research focuses on flow cytometry of myeloid disorders, plasma cell myeloma, benign hematology disorders, and medical education innovations. Her work bridges clinical diagnostics and educational methodology, emphasizing diagnostic accuracy and curriculum development. Professional Affiliations: She is affiliated with Froedtert Hospital, Children’s Wisconsin, and Froedtert Menomonee Falls Hospital, contributing to hematology services and medical education programs. Her leadership roles include co-directing MCW’s curriculum innovation projects. Labs/Teams: She leads diagnostic services at Wisconsin Diagnostic Laboratories and collaborates with the MCW’s School of Medicine on educational initiatives, ensuring integration of cutting-edge pathology practices into training programs.

Mark C. BenfieldView profile

Professor

• Zooplankton ecology
• Acoustic sensing
• Remotely operated vehicles
• +2 more

Dr. Mark C. Benfield is a Professor in the Department of Oceanography & Coastal Sciences at Louisiana State University's College of the Coast and Environment. His research focuses on zooplankton ecology, acoustic sensing, deep-sea biology, and applications of industrial remotely operated vehicles (ROVs) in marine observatories. He teaches courses including Introduction to Marine Life Processes and MATLAB for Coastal Sciences. Education: Ph.D. in Biology, Texas A&M University (1991) M.S. in Biology, University of Natal (1985) B.S. in Biology, University of Toronto (1980) Dr. Benfield's research investigates zooplankton dynamics, optical/acoustic sensing technologies, and deep-sea ecosystems. His work spans computer-based classification of marine organisms, telemetry studies of fish behavior, and ecological assessments of petroleum platforms. Recent field studies examine wreck communities, coral symbiosis, and microplastic distribution in river systems. His publications demonstrate strong trends in marine technology development, pollution ecology, and ecosystem monitoring. Recent work emphasizes deep learning applications for plankton classification, microplastic pollution tracking, and hydrodynamic modeling of particle transport. The research consistently integrates advanced sensing technologies with ecological questions. Laboratory facilities include the Energy, Coast and Environment Building (Room 2266) supporting optical/acoustic instrumentation and ROV operations. Collaborative projects involve global institutions including Woods Hole Oceanographic Institution and the SERPENT Project.

Michael HankeView profile

Professor

• Neuroimaging
• Data Management
• Computational Neuroscience
• +2 more

Michael Hanke is Professor at the Institute of Neuroscience and Medicine at Research Center Jülich, leading research in Brain and Behavior (INM-7). His work focuses on neuroimaging, data management, and reproducible research methodologies in neuroscience. Research interests include neuroinformatics, open science initiatives, computational neuroscience, and developing tools for reproducible analysis of large-scale neuroimaging datasets. Specializes in creating infrastructures for FAIR data management. Recent publications focus on research data management (particularly DataLad ecosystem), neuroimaging workflow standardization, reproducible analysis pipelines, and applications in neuroimmunology. Work emphasizes open science practices and collaborative research infrastructure. Developed HeuDiConv for DICOM conversion and contributed to BIDS standards for neuroimaging data organization. Active in community initiatives including OHBM Brainhack and NFDI Neuroscience.

Alex BishopView profile

Associate Professor

• Ewing Sarcoma
• DNA Repair
• R-loops
• +3 more

Dr. Alex Bishop is an Associate Professor in the Department of Cell Systems and Anatomy at The University of Texas Health San Antonio, within the Joe R. and Teresa Lozano Long School of Medicine. His research focuses on unraveling the molecular mechanisms underlying pediatric cancers, particularly Ewing sarcoma, with emphasis on R-loop regulation, DNA repair pathways, and oncogenic transcriptional dysregulation. Dr. Bishop holds a DPhil from Oxford University and completed further training at Harvard Medical School. He has led groundbreaking studies including identifying R-loop accumulation as a therapeutic target in Ewing sarcoma and discovering links between BRCA1 dysfunction and cancer progression. His work has been published in high-impact journals like Nature and supported by grants from Stand Up To Cancer and Cancer Research UK. Key research areas include understanding how the EWSR1-FLI1 fusion protein drives genomic instability, developing mouse models for sarcoma research, and advancing computational tools like RLSuite for R-loop analysis. Collaborations with institutions such as the Greehey Children’s Cancer Research Institute and Mays Cancer Center enable translational research bridging basic science and clinical applications. Dr. Bishop’s contributions have advanced targeted therapies for pediatric cancers, with recent efforts exploring combination treatments and novel biomarkers. His lab employs cutting-edge technologies including mass cytometry and single-cell transcriptomics to dissect tumor biology and resistance mechanisms.

• Deep Learning
• Machine Learning for Biological and Medical Data
• Artificial Intelligence
• +4 more

Dr Benjamin Mashford is a Research Fellow at the John Curtin School of Medical Research, Australian National University (ANU), specializing in interdisciplinary applications of deep learning, machine learning, and nanoelectronics to biomedical challenges. His work bridges computational methods with immunology, infectious diseases, and advanced diagnostics. Affiliation: Division of Immunology and Infectious Diseases, ANU Research Group: The Enders Group - Models of Human Primary Immunodeficiencies Research Focus: Mashford's work spans: Deep learning for biological data analysis (flow cytometry, EEG, genomic sequences) Neuromorphic and low-power computing systems Quantum dot technology for optoelectronics Energy-efficient health-monitoring devices Medical signal processing and predictive analytics Publication Trends: Recent work emphasizes hyper-dimensional cytometry representations, automated phenotyping systems, and cross-domain applications of machine learning from immunology to mineral processing. He also explores hardware implementations for biomedical diagnostics, including neurostimulation and fall detection systems. Supervision: Registered as a supervisor for graduate research students.

Charlie HindmarchView profile

Assistant Professor

• Genetics
• Genomics
• Molecular genetics
• +11 more

Dr. Charlie Hindmarch is an Assistant Professor in the Department of Medicine at Queen's University, affiliated with the School of Medicine and Faculty of Health Sciences. He holds cross-appointments as Director of the Genomics, Transcriptomics, and Molecular Medicine laboratory at the Queen's CardioPulmonary Unit (QCPU) and Scientific Operations Director for the Translational Institute of Medicine (TIME). His research focuses on pulmonary arterial hypertension (PAH), genomic/transcriptomic profiling, and the role of biological sex in cardiovascular diseases. He employs cutting-edge tools like next-generation sequencing and mass cytometry (CyTOF). Dr. Hindmarch holds a PhD in Neuroscience and Endocrinology from the University of Bristol (2009), with prior postdoctoral training there and visiting professorships at the University of Malay and Federal Rural University of Rio de Janeiro. His work spans over 43 publications with an h-index of 17. Research Interests: Genetics, Genomics, Molecular genetics, Analytical biochemistry, Pulmonary Hypertension, Cardiology, Translational Medicine, DNA computing, and Animal Models of Disease. His lab specializes in transcriptomics, proteomics, and bioinformatics. Key roles include leading the TIME Institute's strategic plan and managing advanced equipment (e.g., mass cytometer) at QCPU. Current supervision includes a Master's student, Abhishek Shastry. His work integrates genomic, proteomic, and clinical data to bridge basic and translational research in cardiovascular diseases.

Pia NyengView profile

Associate Professor

• Developmental Biology
• Molecular Biology
• Endocrinology
• +4 more

Pia Nyeng is an Associate Professor at Roskilde University's Department of Science and Environment. Her research focuses on developmental biology, particularly the formation of endocrine organs like the pancreas and thyroid during embryonic development. She employs advanced bioimaging techniques and machine learning to analyze live tissue dynamics, emphasizing neuro-organ crosstalk and cell differentiation mechanisms. Trained at the University of Copenhagen (PhD, 2008), she has held visiting research roles there (2019–2022). Her work integrates transgenic mouse models with 3D cell culture systems, addressing how cellular behavior shapes organ morphology and function. Key projects include DECONET (2025–2028), investigating biological network coordination, and PAC (2022–2024), exploring pancreatic innervation and beta-cell formation. Research interests span endocrinology, tubulogenesis, and stem cell biology, with applications to diabetes and neurological disorders. Her lab develops novel imaging tools and collaborates internationally. Recent work links glucagon receptor signaling to cognitive decline, demonstrating interdisciplinary impacts across neuroendocrinology. Publications highlight innovations in live imaging analysis, including real-time tracking of apical polarity proteins and topology-aware machine learning for tubular network quantification. She actively disseminates findings through talks and media, emphasizing translational potential in healthcare and education.

Zachary SchultzView profile

Professor

• Analytical Chemistry
• Biomedical Diagnostics
• Metabolomics
• +7 more

Zachary D. Schultz is a Professor and Vice Chair of Graduate Studies in the Department of Chemistry and Biochemistry at The Ohio State University. His research focuses on developing advanced chemical measurement tools, particularly using surface-enhanced Raman spectroscopy (SERS) for biomedical diagnostics and environmental analysis. He earned his B.S. from The Ohio State University (2000) and Ph.D. from the University of Illinois at Urbana-Champaign (2005). Postdoctoral training included roles at the National Institute of Standards and Technology (NIST) and the National Institutes of Health (NIH). His research lab integrates nanotechnology, spectroscopy, and machine learning to address challenges in metabolomics, protein receptor signaling, and plasmonics. Key projects include sheath-flow SERS for high-throughput metabolite detection, TERS-based imaging of cell membrane receptors, and plasmonic photocatalysis for CO₂ reduction. The lab also develops novel instrumentation, such as Raman microscopes and nanoprobes, to enhance chemical imaging resolution and sensitivity. Notable achievements include the Craver Award (Coblentz Society), Cottrell Scholar distinction, and AAAS Fellowship. Collaborations span disciplines, including biomedical engineering, environmental science, and materials chemistry. His work has led to over 150 peer-reviewed publications and multiple patents. The lab actively engages in training students and postdocs, fostering innovation in analytical chemistry and nanotechnology. Current research trends emphasize interdisciplinary approaches, leveraging SERS for real-time diagnostics, environmental monitoring, and fundamental studies of plasmonic interactions. Recent publications highlight advancements in super-resolution imaging, machine learning-driven data analysis, and applications in cancer cell detection and fibromyalgia biomarker identification.

Daniel LongleyView profile

Professor

• Cancer Therapy Resistance
• Apoptosis Regulation
• Colorectal Cancer
• +3 more

Prof. Daniel Longley is a Professor and Director of the Patrick G Johnston Centre for Cancer Research at Queen’s University Belfast. His research focuses on cancer therapy response and resistance, particularly investigating the roles of FLIP and IAP proteins in apoptosis regulation. His work has led to clinical trials of IAP inhibitors in colorectal cancer and the development of first-in-class FLIP inhibitors licensed to Ipsen Pharma in 2021. He co-founded AilseVax, a cancer vaccine spin-out company. Key affiliations include the School of Medicine, Dentistry and Biomedical Sciences and leadership in projects like the Future Medicines Institute and CURED Study. His research spans molecular mechanisms of cancer resistance, drug development, and translational oncology. Research interests emphasize apoptosis pathways, therapeutic targets in colorectal cancer, and drug combination strategies. Recent articles highlight advancements in protein profiling, ribosome quality control, and spatial proteomics in cancer subtyping. Projects include collaborations on high-parameter flow cytometry and TRAIL-R2 complex regulation. Grants and partnerships include Wellcome Trust funding (£10M) and industry collaborations. His work contributes to Sustainable Development Goals related to health and well-being.

Peng QiuView profile

Adjunct Professor

• Bioinformatics
• Computational Biology
• Machine Learning
• +5 more

Peng Qiu is an Adjunct Professor in the School of Computational Science and Engineering at Georgia Institute of Technology, with a joint appointment in Biomedical Engineering. He holds the Wallace H. Coulter Distinguished Faculty Fellow title and leads the Peng Qiu Lab. His research focuses on bioinformatics, computational biology, and machine learning applications in single-cell data science, gene regulatory networks, and spatial transcriptomics. Key research areas include: Single-cell RNA-sequencing analysis and clustering Crohn’s disease pathogenesis and immunology Development of synthetic biosensors for cancer detection Multi-omics data integration and trajectory inference Recent projects include a $2.8M Helmsley Charitable Trust grant for Crohn’s disease studies and leadership in the InQuBATE training program integrating modeling with bioscience education. His work spans biomarker discovery, regenerative immunotherapy, and precision medicine applications. Notable achievements include induction into the 2023 AIMBE College of Fellows and development of the SPADE clustering algorithm. His lab collaborates on projects like nanoparticle-based diagnostic tools and lipid-mediated tissue regeneration strategies.

• Psoriatic Arthritis
• Rheumatology
• Immunology
• +6 more

Hannah den Braanker is a Researcher at Erasmus MC's Department of Internal Medicine, specializing in immunology and rheumatology. Her work focuses on understanding autoimmune disease mechanisms, particularly in psoriatic arthritis and rheumatoid arthritis. She holds a doctoral degree from Erasmus MC (2025) investigating T cell dynamics in psoriasis progression. Key research interests include systematic review methodologies, T cell biology, and advanced flow cytometry techniques. Her studies combine clinical data analysis with machine learning approaches to identify disease biomarkers and improve diagnostic criteria implementation. Publications highlight trends in axial spondyloarthritis diagnoses post-ASAS criteria adoption and rheumatoid arthritis incidence patterns in outpatient settings. She collaborates with multidisciplinary teams across immunology and rheumatology, contributing to both clinical practice and technical workflow innovations in high-dimensional data analysis. No scientific awards are listed, though her work shows strong citation impact in immunology and rheumatology fields (e.g., 25 citations for her flow cytometry workflow paper). Her research emphasizes translational applications, bridging basic immunology insights with clinical rheumatology practice.