anabatista



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LinkedIn: ana-batista-77487722/

Skype: ana.batista211

Ana Batista

Professor David Pozo

Ms. Ana Batista completed his B.Sc., in Industrial Engineering specializing in L from University APEC Dominican Republic in 2007. She then worked with different National and Multinational Companies in her area of interest. She completed her M.Sc., in Logistic Science and granted a double degree from School of Industrial Organization, EOI, Madrid, Spain and Catholic University, Dominican Republic. In 2013, she started her Ph.D. studies in the Department of Industrial and Systems Engineering of the Catholic University of Chile, Santiago, Chile, with the thesis titled “Thesis title: “Intertemporal capacity planning for Stochastic Systems”.  During her studies, Ana has participated in different project related to her research field and funded by the private and public sector in Chile. From 2013 to 2016, she was a researcher in the project  “Modeling appointments and periodicity for Stochastic processes” and in 2016 for the project ” Strategies to reduce No-Show in Stochastic processes”.  During 2017, she was visiting research in the Columbia University, New York, studying optimization models for online admission planning.

Currently, she is studying optimization models in Stochastic programming as Distributionally Robust Optimization (DRO), to solve the problem of admission planning.

 

Distributionally Robust Optimization (DRO) models. In DRO models there is ambiguous information about the true probability distribution function, such as moments. Then, DRO models are a good alternative to the min-max problems for scheduling or planning problems with uncertainty. Additionally, DRO is less conservative that min-max problems that focus on the worst-case scenario instead of the worst-case probability distribution function (DRO case).

  • Visiting researcher, Department of Industrial and Systems Engineering, January – August 2017, Columbia University, New York, Advisor: Van-Anh Truong
  • Ph.D. Student, Department of Industrial and Systems Engineering, August 2013 – present
    Catholic University of Chile, Santiago, Chile
    Thesis title: “Intertemporal capacity planning in Healthcare System”
    Advisor: Jorge Vera
  • M.A., Logistics Science, School of Industrial Organization, EOI, Madrid, Spain / Catholic University of Santo Domingo, Santo Domingo, Dominican Republic 2009, Overall GPA: 3.8
  • B.S., Industrial Engineering with intensification in Logistics Operations, APEC University, Santo Domingo, Dominican Republic 2007, Overall GPA: 3.51
  • Use of mathematical tools such as operations research and statistics to solve problems of operation and planning under uncertainty.
  •  Stochastic and robust optimization problems: modeling and resolution methodologies.
  • Use of hierarchical optimization approach.
  •  Online algorithmic approaches to modern service systems.

Conferences

  1. A. Batista, J. Vera, “Multi-objective admission planning problem with stochastic resource requirements,” Proceedings of the Institute for Operations Research and the Management Science (INFORMS) Annual Meeting, Nashville, Tennessee, U.S.A, November 13-16, 2016.
  2. A. Batista, J. Vera, “A hierarchical solution approach for bed capacity planning under capacity uncertainty,” XVIII Latin-Iberoamerican Conference on Operations Research (CLAIO), Santiago, Chile, October 2-6, 2016.
  3. A. Batista, J. Vera, “A hierarchical solution approach for bed capacity planning under demand uncertainty,” XIV International Conference on Stochastic Programming (ICSP2016), Buzios, Brazil Jun 25- July 1, 2016.
  4.  A. Batista, J. Vera, “A hierarchical solution approach for bed capacity planning under capacity uncertainty,” XI Congreso Chileno de Investigación Operativa Óptima 2015 in Antofagasta (OPTIMA), Antofagasta, Chile, October 18-25, 2015.
  5.  A. Batista, J. Vera, “Intertemporal capacity planning,” Proceedings of the Institute for Operations Research and the Management Science (INFORMS) Annual Meeting, Philadelphia, Pennsylvania, U.S.A, November 1-4, 2015.