Research Engineer II. Etiometry Inc.
January 2014 - March 2017
Over the course of three years, I developed a respiratory model for Etiometry Inc to be used as their second real-time patient risk index. The model is comprised of multiple dynamic equations that help track the flow of oxygen and carbon dioxide throughout the body. The model was then used along with a probalistic engine that combined real-time measurements to find the maximum likliehood of various states. Doing so, we are able to track many unmeasureable states and accurately track blood gases of a patient before a blood gas. The index was a likelihood estimation of how underventilated a mechanically-ventilated patient was based on the estimated oxygen and carbon dioxide levels. Really cool stuff, check out Etiometry. Along with model/algorithm development, I trained doctors, nurses and, respiratory therapists how to use the product.
