I am a Software Engineer in the Healthcare Systems Research department at IBM Almaden Research Center. Presently, I am working on the Medical Sieve Radiology Grand Challenge project whose goal is to develop automated medical data analytics tools that can help clinicians with decision making.
I received my MS in Electrical Engineering (specializing in Signal/Image Processing) from Arizona State University and was supervised by Dr. Andreas Spanias. I developed non-invasive health monitoring solutions on mobile platforms through multi-sensor data analysis as part of a National Science Foundation funded project. Previously, I worked as an embedded systems and algorithm developer in the wearable devices industry (InvenSense Inc. and Salutron Inc.).
I am interested in applying machine learning techniques to analyze time-series and medical images, and build scalable applications for processing large amounts of data. A few of the projects I have worked on include:
- Heart rate and oxygen saturation estimation from Photoplethysmogram
- Activity characterization using Accelerometer signals
- Tumor segmentation from Brain MRI