Wesam Elshamy

Machine Learning @ Diagnoss

Phoenix, AZ

At Diagnoss, we use Machine Learning and natural language processing solutions to reduce medical coding errors and clinical documentation improvement. We built a natural language processing engine from the ground up, capable of deriving inferences from unstructured medical data, and packaging them into actionable information for healthcare teams. Our solutions result in more cash flow and less legal risk for medical establishments.

Prior to Diagnoss, I was the director of data science and machine learning at AdviNow Medical. I lead a team of data scientists and software engineers in the development of innovative large-scale machine learning services for disease diagnosis based on data extracted from sources such as medical texts, patients' vital measurements, and patient responses to our questions.

I hold a PhD in computer science. In my dissertation I developed dynamic topic models.

The best way to contact me is by email: first name last name yahoo.