CV

Find my complete and detailed Curriculum Vitae on the left side and my very concise and brief Curriculum Vitae here on the right side.

General Information

Full Name Kimberly Grace Sevillano Colina
Languages English, Spanish, French (Intermediate)

Education

  • 2026 - Ongoing
    PhD in Robotics and Computer Vision
    University of Salamanca, Salamanca, Spain
  • Msc in Signal and Image Processing with specialization in Computer Vision and Robotics (VIBOT)
    University of Burgundy, Burgundy, France
  • BSc in Electronics Engineering
    National University of Engineering (UNI), Lima, Peru

Additional Education

  • May. 2021
    MITx MicroMasters in Statistics and Data Science
    Funded by Aporta as part of the Advanced Program in Data Science & Global Skills
    • The program provided MIT’s rigorous, high-quality curricula. It lasts 18 months, with courses about data science, statistics and ML.

Summer Schools & Workshops

  • Sep. 2026
    WHERE — Walk the Future Summer School
    University of Trento, Trento, Italy
    • Training in legged robotics, locomotion, and model predictive control.
    • Hands-on exercises with Quadruped-PyMPC in simulation and on a real quadruped robot.
  • Aug. - Sep. 2026
    Machine Learning Summer School (MLSS) 2026
    Tübingen, Germany
    • Attended from August 31 to September 11, 2026, with a full grant.
    • Lectures and discussions on robot learning, optimization, probabilistic inference, and causal inference.
    • Presented a research poster on multimodal perception and benchmarking for robotics in natural environments.
  • Aug. 2025
    Montreal Robotics Summer School 2025
    Mila – Quebec AI Institute, Montreal, Canada
    • Selected among 25 participants worldwide.
    • Hands-on projects with LoCoBot (Pick & Place in Gazebo) and Unitree Go1 Quadruped (Policy Learning).
    • Explored SLAM, sim2real transfer, policy-based control, and NVIDIA Isaac Lab.
    • Summer School Website

Experience

  • 07/26 - Present
    Marie Skłodowska-Curie Doctoral Researcher — WildBotics
    Fondazione Bruno Kessler (FBK), Trento, Italy
    • Research on multimodal data fusion for advanced robotic perception and navigation in natural environments.
    • Developing methods for localization and mapping to support robotics for wildlife conservation and monitoring.
  • 02/24 - 09/24
    Research Internship (Master thesis)
    CNRS-AIST JRL (Joint Robotics Laboratory), IRL, Tsukuba, Japan
    • Conducted research on integrating dual-fisheye and color-depth vision for real-time, full-scale spherical image depth imaging. This work focuses on key areas like 3D vision and computer vision, leveraging neural network training for depth prediction in robotic environments.
  • 09/21 - 09/22
    Data Intelligence Specialist
    Ferreyros S.A., Lima, Peru
    • Part of the analytics and reportability team that is responsible for processing, analyzing and modeling mining equipment health data using A.I.
  • 05/21 - 09/21
    Computer vision Engineer/Internship
    TECH INNOVATION S.A.C., Lima, Peru
    • Collaborated in a team to develop real-time object detection systems for automatic identification of bags on conveyor belts.
  • 01/21 - 03/22
    Research Leader - Computer Vision
    Lab Smart Machines CTIC-UNI (Information Technology and Communications Center), Lima, Peru
    • Team leader of the Rover farmer project (Berry-bot), in charge of the detection of pests and diseases in the crop (blueberries).
  • 07/19 - 01/21
    Electronic researcher
    INAIGEM (National Institute for Research in Glaciers and Mountain Ecosystems), Huaraz, Peru
    • Developed an electronic prototype that detected avalanches' sound in real-time with A.I. algorithms.
  • 05/18 - 05/19
    Research Internship
    INICTEL-UNI (National Institute of Research and Training in Telecommunications), Lima, Peru
    • Member of the team where a method of segmentation and measurement of areas covered by water palm in aerial images acquired by drones or UAV.

Honors & Awards

  • 2026
    MLSS 2026 Registration Grant
    Machine Learning Summer School, Tübingen, Germany
    • Selected as one of nine registration grant recipients for MLSS 2026.
  • 2023
    UBFC International Masters Merit Scholarship
    University of Burgundy
    • Awarded a merit scholarship for ranking in the top three of the first year in the VIBOT Master program.
  • 2022
    Scholarship for the "Alberto Benavides de la Quintana - French Embassy 2022" [top 4\%]
    Patronato UNI and French Embassy
    • Winner of the "Alberto Benavides de la Quintana - French Embassy 2022" master’s scholarship.
  • 2021
    QING Innovation Track - Competition for Climate Adaptation in Food Systems
    QING and Wageningen University & Research (WUR)
    • As part of Team Berry-bot we won funding and obtained the top 5 of the Qing Innovation track (Netherlands).
  • 2021
    Scholarship for the ”Advanced Program in Data Science & Global Skills”
    Aporta - BREIT and MIT
    • Winner of a scholarship for the ”Advanced Program in Data Science & Global Skills”, hosted by MIT and Aporta.

Technical Strengths

  • Programming & Tools: Python, C/C++, MATLAB, SQL, LaTeX, Git, Linux, Power BI, Eagle, LTspice, Proteus.
  • ML/DL Frameworks: PyTorch, TensorFlow/Keras, Scikit-learn, Docker.
  • Computer Vision: OpenCV, ViSP, libPer.
  • Robotics & Perception: ROS1/ROS2, Navigation, SLAM (Simultaneous Localization and Mapping), Depth Estimation, Point Cloud Processing.
  • Simulation & 3D: 3D/4D Reconstruction, Sim2Real Transfer, Gazebo.
  • Learning Methods: Machine Learning, Deep Learning, Generative Adversarial Networks (GANs), Policy Learning.
  • Hardware: Jetson Nano, Raspberry Pi, Arduino Platform, ESP32, Electronic Instrumentation.