Education: Ph.D. in Mathematics from the University of Georgia
Courses Taught: DSBA 6156: Applied Machine Learning
Biography: With my Ph.D. in Mathematics, I used combinatorics and algebra techniques to understand better abelian varieties' geometry - objects of interest for their use in cryptography. For the past eight years, I've worked as a data scientist across various industries. The highlights of this time include the development of a patient deterioration identification system, currently embedded within the Epic electronic medical record system and in use in over 100 hospitals in the US - as well as the development of the RL-based personalization system currently used 15MM times monthly by Red Ventures' various media properties.