New York, New York, United States
Received Ph.D. from Northwestern University with a focus in algorithm development for inverse problems, deep learning, and computer vision. Working as a Machine Learning Engineer at Uber.
Rider Pricing Intelligence
Rider Pricing Intelligence
- Developing deep learning techniques for computational microscopic imaging methods, combining x-ray ptychography, computational tomography, and laminography. - Building neural networks for detection of Covid-19 and Cardiac Amyloidosis from chest x-rays. - Improving segmentation of lung lesions in CT via encoder-decoder networks. - Exploring machine learning solutions to problems in computer vision and biomedical imaging
- Optimize near-real time streaming pipelines for business critical ML Features and metrics. - Onboard micro-services to tracing platform, and implement error categorization together with exception types for improving debuggability.
- Creating deep Generative Adverserial Networks (GANs) for elimination of missing wedge problem in inverse computation tomography and laminography.
- Developing and implementing an iterative algorithm on direct coupling of computational tomography and x-ray ptychography