Contact Information:
CII 5119
Focus Area:
Statistical modeling, Data-driven optimization, Applied operations research
Advisor:
Education:
I received my BS in Industrial Engineering (2013) and in Statistics (2017), as well as my MS in Statistics (2019) from Universidad Nacional de Colombia, Bogotá, Colombia. I am currently working toward my PhD in Industrial Engineering and a master's in science in Applied mathematics (optimization) at RPI.
Awards & Honors:
Founders Award of Excellence awardee, 2019.
Selected Publications:
1) Arrieta-Prieto, M., & Schell, K. (In review). Spatio-Temporal Probabilistic Forecasting and Validation Mechanisms for Multiple Wind Farms. IEEE Transactions on Power Systems.
2) Caspersen, E., Arrieta-Prieto, M., & Wang, X. (In review). Latent Split of Aggregate Counts: Revealing Home Deliveres per Commodity Types. Transportation Research Part B: Methodological.