Computer Scientist

My research work is at the intersection of computer vision and computational imaging. My research aims to design computational imaging systems and develop novel computer vision algorithms to improve final vision tasks while obtaining benefits like privacy protection, compression, etc. My research starts from the camera itself (hardware) and finishes with developing novel computer vision algorithms (software).

I got my B. Sc., M. Sc., and Ph.D. degrees in Computer Science from Universidad Industrial de Santander, Colombia, in 2015, 2018, and 2022, respectively. I’m a former researcher at the Stanford Vision and Learning Lab (SVL). During my internship at SVL, I was under the supervision of Prof. Juan Carlos Niebles.

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Recent Highlights

  • | Feb. 2024 | 2 papers accepted to CVPR2024!!

  • | Aug. 2023 | I am editor of the EURASIP Journal on Image and Video Processing

  • | Jul. 2023 | I will co-organizing the LatinX in CV (LXCV) workshop at ICCV 2023!

  • | Mar. 2023 | I will co-organizing the LatinX in CV (LXCV) workshop at CVPR 2023!

  • | Jan. 2023 | I joined the IVUL research group at King Abdullah University of Science and Technology as a Postdoctoral fellow under the supervision of Prof. Bernard Ghanem.

  • | Oct. 2022 | Our oral paper on privacy-preserving human action recognition was featured as the cover story in the ECCV2022 magazine by RSIPvision! See the magazine here.

  • | Oct. 2022 | Our paper “Optics Lens Design for Privacy-preserving Scene Captioning” won the Best Paper Award from the IEEE International Conference on Image Processing (ICIP2022)! See here.

  • | Apr. 2022 | I successfully defended my Ph.D. and got the laureate distinction!

  • | Apr. 2022 | Happy to win third place in a data challenge competition for rare tumors organized by the Société Française de Radiologie (SFR) - France. The news here (spanish)


Journal and conference papers I have published



In this project, we design the camera lens to perform human pose estimation while preserving users’ privacy.

In this project we developed AgroTIC, a smartphone-based application for the agricultural sector in Colombia aimed at reducing such digital breach through smartphones low-cost and ubiquitous technology.

Research project developed with Ecopetrol S.A., which includes the development of optimization algorithms for time to depth conversion, and development of modules for DesicionSpace Geoscience Software.


Connect with me

  • +966 56 213 5537
  • King Abdullah University of Science and Technology, Library (Building 12), AI Initiative, Office 3120-WS01
  • Sunday to Thursday, 08:00 AM to 6:00 PM
  • Book an appointment