Ana María Estrada Gómez

I am an assistant professor in the School of Industrial Engineering at Purdue University. I received a B.Sc. in Industrial Engineering and a B.Sc. in Mathematics from Universidad de los Andes, Bogotá, Colombia, in 2013 and 2015, respectively. I also hold an M.Sc. in Industrial Engineering from Universidad de los Andes (2015), and an M.Sc. in Statistics from Georgia Tech (2018). I received my Ph.D. in Industrial and Systems Engineering with a specialization in Statistics from Georgia Tech in 2021.

My research interests lie in developing innovative methodologies and efficient algorithms for data-driven decision-making in complex systems using statistical machine learning. I focus on addressing analytical, computational, scalability, and robustness challenges associated with the characteristics of the data collected by these systems. The data might be decentralized, high-dimensional, incomplete, correlated, and/or heterogeneous. The methods that I have developed have been applied in the manufacturing, environmental, and healthcare sectors. 

I am passionate about mentoring and teaching. My main goal is to have a positive impact on students’ lives. I want them to learn how to use analytical tools and quantitative thinking for decision-making.  

I am the recipient of the SPES+Q\&P Best Student Paper Award from ASA, the QSR Best Poster Award from INFORMS, and the IISE Doctoral Colloquium Best Poster Award. At Georgia Tech, I have been recognized with the Graduate Teaching Fellowship, granted by the Center for Teaching and Learning, and with the Stewart Fellowship, awarded by the School of Industrial and Systems Engineering. I have also been appointed as a Latina Trailblazer in Engineering Fellow by Purdue's College of Engineering.