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.

CV

2023 - 2024 News

• February 2023: The paper An Adaptive Sampling Strategy for Real-time Anomaly Detection with Unmanned Sensing Vehicles has been accepted for publication in Technometrics.

• January 2023: The paper An Adaptive Sampling Strategy for Real-time Anomaly Detection with Unmanned Sensing Vehicles was selected as a Finalist for the SPES + Q&P Student Paper Competition. Ph.D. student Yue Jiang will present the work to a panel of judges during the 2024 Joint Statistical Meetings (JSM) in Portland, Oregon. Wish us luck!

• October 2023: Ph.D. student Yue Jiang presented his work "An Adaptive Sampling Strategy for Real-time Anomaly Detection with Unmanned Sensing Vehicles "  during INFORMS Annual Meeting. Excellent job Yue!

• October 2023: Ph.D. student Manni Zhang presented her work "Directed Graphical Models for Multimodal Systems Collecting Heterogeneous Data"  during INFORMS Annual Meeting. Excellent job Manni!

• September 2023: NSF Award -  Collaborative Research: SCH: Therapeutic and Diagnostic System for Inflammatory Bowel Diseases: Integrating Data Science, Synthetic Biology, and Additive Manufacturing. This is a collaborative work with Dr. Leopold Green (Purdue University), Dr. Bo Wang (Florida Institute of Technology), and Dr. Mohammad Azad (North Carolina Agricultural and Technical State University). Looking forward to working on this project!

• August 2023: Undergraduate student Vitor Farias Costa de Carvalho is now a Master's student in our group. Vitor we are glad you stayed working with us!