Research Areas & Interest

  • GNSS Positioning Error Estimation.
  • Machine Learning Interpretability.
  • Algorithmic Fairness.
  • Multivariate Time Series Classification.
  • Transformers / LLMs Interpretability.
  • Mechanistic, Intrinsic Interpretability.

Education

  • 2024: Ph.D. program in Machine Learning, DSV – Department of Computer and Systems Sciences, Faculty of Social Sciences, Stockholm University, Sweden.
  • 2019: M. Sc. in Engineering Design: Mechatronics, Department of Machine Design, School of Industrial Engineering and Management, KTH – Royal Institute of Technology, Sweden.
  • 2014: B. Sc. in Industrial Engineering, Department of Industrial Engineering, Faculty of Engineering, Universidad de Los Andes, Colombia.
  • 2014: B. Sc. in Mechanical Engineering, Department of Mechanical Engineering, Faculty of Engineering, Universidad de Los Andes, Colombia.

Professional Experience

  • 2025: Assistant Professor in Data Science, DSV, SU, Stockholm, Sweden.
  • 2019 – 2024: Machine Learning Research Engineer, DSV, SU, Stockholm, Sweden.
  • 2018: Teaching Assistant, KTH, Stockholm, Sweden.
  • 2017: Chief Engineer, Castem, Bogotá, Colombia.
  • 2016: Engineer, Castem / Natural Sciences Professor & Coordinator, ColombiaCrece, Bogotá, Colombia.
  • 2015: Commercial Engineer, Genser Power, Bogotá, Colombia.
  • 2014: Demand Planner, Linio, Bogotá, Colombia.
  • 2013: Pricing / Sales Operations Trainee, ExxonMobil, Bogotá, Colombia.

NOTE: ColombiaCrece is a charity organization located in Bogotá dedicated to the education of adults who, for economical or social reasons, could not finish their high school education.