Area of research
Radiology, Nuclear Medicine and Imaging · Cancer Research
Research interest
Research interests include Advanced MRI Techniques and Applications, Advanced Neuroimaging Techniques and Applications, Cancer Genomics and Diagnostics, and Natural Language Processing Techniques.
Analysis and Visualization of Longitudinal Genomic and Clinical Data from the AACR Project GENIE Biopharma Collaborative in cBioPortal
AACR Project GENIE: 100,000 Cases and Beyond
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI
A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth
Benchmarked approaches for reconstruction of in vitro cell lineages and in silico models of C. elegans and M. musculus developmental trees
A community challenge to evaluate RNA-seq, fusion detection, and isoform quantification methods for cancer discovery
A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization
Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease
Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Multiple Myeloma DREAM Challenge Reveals Epigenetic Regulator <i>PHF19</i> As Marker of Aggressive Disease
Crowdsourced High-Risk Classifiers for Multiple Myeloma Patients Commonly Identify PHF19 As a Robust Progression Biomarker
Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data
Geometric Approximation and Variational Problems
New Developments in Geometric and Multiscale Numerical Methods
Topics in Geometric and Multiscale Numerical Methods
Multiscale Modeling and Approximation in Novel Geometric and Nonlinear Settings
Multiscale Data Representations in Geometric and Nonlinear Settings
CAREER: Subdivision Schemes and Wavelets: New Tools, New Settings