Application: UCL Grand Challenges Living Lab

Presentation
Gaussian Processes
Energy
UCL
A formal 5-slide presentation for the Research Assistant position at UCL’s Grand Challenges Living Lab — predictive energy modelling using compositional Gaussian Processes.
Author

Daniel Huencho

Published

January 26, 2026

About This Presentation

A formal application presentation for the Research Assistant — Grand Challenges Living Lab position at UCL. The role involves developing predictive models of energy usage across UCL estates using compositional kernel methods (Gaussian Processes), supervised by Prof. Speekenbrink, Prof. Guedj, and Dr. Ciliberto.

Presentation Structure

  1. Title — Identity and purpose
  2. Technical Knowledge — Education path, probabilistic modelling expertise, GP Summer School
  3. Passion for Applicable Knowledge — Self-directed research, interdisciplinary connections, interpretability philosophy
  4. Engineering & Collaboration — Production ML at Metro de Santiago, AWS architecture, interdisciplinary teamwork, personal stake as SRA at Ramsay Hall
  5. Live Demo — UNICON compositional GP modelling pipeline on university energy data

Interactive Features

  • Animated education timeline with pulsing current position
  • Progressive fragment reveals building the narrative
  • Kernel equation typing animation on the final slide
  • Stat cards with hover effects
  • Speaker notes with full talking points (press S to view)

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Built With

  • Quarto Revealjs — Markdown-based slide framework
  • Custom SCSS theme matching the portfolio’s ocean blue palette
  • Vanilla JavaScript for interactive animations