PhD graduate in biomedical informatics with experience in analysis of biomedical data as well as in design
and implementation of computer vision and machine learning algorithms. I am passionate about solving challenges of healthcare using data-driven approaches. My research experience has been focused on building a data-driven platform for extraction and mining of patterns in medical images to predict diagnosis and outcome.
In depth knowledge of Python, R, C , MATLAB, SAS, GLSL, OpenGL.
Expert in working with Conda, SciPy, Numpy, Pandas, Scikit-Learn, Scikit-Image, TensorFlow.
Working knowledge of MySQL, Java, Cuda, Docker, Theano.
Assessing the utility of imaging features in the prediction of diagnosis and prognosis of several diseases such as breast cancer, head and neck cancers, GBM cancers, as well as Alzheimer's disease.
Implementing an engine for real-time 2D/3D visualization of biomedical images for the image-guided surgical navigation system. The system is designed to enhance a surgeon's ability to navigate instruments and target specific anatomical structures.
- Manuscripts pending acceptance:
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