Mario Arrieta-Prieto

PhD Student
Contact Information:

CII 5119

Focus Area: 
Statistical modeling, Data-driven optimization, Applied operations research

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.