I am a data scientist at the Center of Diabetes Technology, School of medicine, University of Virginia. My primary interest is performing scientific researches using computational methodologies, and developing technologies to harvest our knowledge. I consider myself a problem solver in chemistry, physics, physiology, control engineering, and medical science using my deep scientific insight on one hand, and my programming and data analysis skills on the other hand. I have published scientific papers on using statistical mechanics analysis on atoms and molecules and also on using deep learning and clustering to predict and classify diabetes data. My favorite programming languages are: Python, R, C++, Matlab and I run my codes using bash scripts in terminal on Linux-based systems. I love thinking out of the box, having revolutionary ideas, and entrepreneurship.
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