I am a Biomedical Engineer - Programmer Analyst II in the Functional Neuroimaging Laboratory at Brigham and Women's Hospital. Before moving to BWH, I was a scientific programmer in the Quantitative Tumor Imaging at Martinos (QTIM) lab, Athinoula A. Martinos Center for Biomedical Imaging, at Massachusetts General Hospital. Before that, I was a data analyst/application developer in the Section for Biomedical Image Analysis (SBIA), the Center for Biomedical Image Computing and Analytics (CBICA) at the University of Pennsylvania. I received my Master of Science degree in Biomedical Engineering from Tufts University. I did my biomedical intern with Harvard Apparatus Regenerative Technology, Inc.(Now Biostage) and Master research in the Diffuse Optical Imaging of Tissue - DOIT Lab, at Tufts University.
My interests mainly focus on
Biomedical Imaging (MR, PET, CT and Optical Imaging)
- Developing new imaging biomarkers for drug delivery and treatment evaluation using advanced MR imaging (DW,DSC, DCE).
- Quantifying cell abnormality using advanced medical imaging including MR, PET, CT and Optical Imaging.
- Biomedical optics, specifically in multimodal integration of diffuse near-infrared spectroscopy and fMRI for non-invasive functional imaging of the brain.
Data Science (Large-Scale Multi-Site clinical images analysis and its translational applications)
- Developing open-source bioinformatic software (image registration, tissue segmentation, statistical analysis and pattern recognition) for novel diagnostics and personalized treatment of brain injury, neurological diseases and psychiatric disorders.
- Applying advanced computational and analytical techniques to quantify morphology and function from biomedical images and relating phenotypes to genetic and molecular characterizations.
- Providing customized image processing and data analysis solutions for different disease patterns classification and the early onset of diseases detection (neurodegenerative, neuropsychiatric, oncological, metabolic and genetic diseases).
- Studying brain network by using and developing tools from network science and complex systems theory.
- Nov 2018: New Scientific Reports Paper on probing tumor microenvironment in brain tumor patients during clinical trials with functional MRI. [article]
- Jun 2018: New AJNR Paper on Multisite Concordance of DSC-MRI Analysis for Brain Tumors. [article]
- Jan 2018: Our paper "Field of View Normalization in Multi-Site Brain MRI" is accepted for publication as a SI: High Performance Computing in Bio-medical Informatics in the journal Neuroinformatics. [article] [link]
- Nov 2017: Our paper "ABCD1 dysfunction alters white matter microvascular perfusion" is out in Brain. [article] [link]
- Nov 2016: Our paper which uses advanced medical imaging techniques to guide GBM treatment is in press at Journal of Neuro-Oncology. [article]
- Jul 2016: Presented "Big Data Clinical Image Analysis-From Pipeline Design to Translational Applications" at FNL Summer Education Program, BWH.
- Jun 2016: Joined the Functional Neuroimaging Laboratory at Brigham and Women's Hospital.
- Apr 2016: Two of our abstracts about treatment of Glioblastoma with chemoradiation and adjuvant temozolomide and prediction of lesion progression in Adrenoleukodystrophy using DSC MRI were presented on American Academy of Neurology (AAN) Annual Meeting, Vancouver, BC, Canada, 2016. [article1] [article2]
- Apr 2016: Our paper “Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma” has been selected as the Editor's Choice in Neurosurgery. [article]
- Mar 2016: Our paper "Population-based MRI Atlases of Spatial Distribution are Specific to Patient and Tumor Characteristics in Glioblastoma" in press at NeuroImage: Clinical. [article]
- Oct 2015: Our abstract "DSC MR Perfusion Microvascular Abnormalities can Predict Lesion Progression in Cerebral X-linked Adrenoleukodystrophy" won the Neurology Department Award at MGH Clinical Research Day 2015. [article]