Education

Formal Education

• Ph.D. in Zoology and Ecology, James Cook University — Cum laude (2024)
  • Skills & Tools: Bayesian inference, machine learning, predictive modelling, spatial analysis (GIS, remote sensing), SQL querying, relational database design, automated data pipelines, data cleaning, R programming, reproducible workflows.
  • Data Types: Multi-source ecological, biological, climatic, physiological, and biogeochemical datasets (soil, foliage chemistry).
  • Applications: Developed novel modelling frameworks to predict species vulnerability to extreme events and identify high-risk habitats.
• M.S. in Biology and Conservation of Biodiversity, Universidad de Salamanca (2016)
  • Skills & Tools: GIS, advanced statistics, applied statistical modelling, R programming, spatial analysis, workflow automation.
  • Applications: Designed and executed analytical workflows for biodiversity monitoring and conservation planning.
• B.S. in Biology, Universidad de Salamanca (2014)
  • Skills & Tools: Mathematics, algebra, biostatistics, physics, introductory statistical programming, ecological modelling.
  • Applications: Undergraduate research project integrating environmental and ecological data.

Additional Training & Courses

• Statistical Rethinking: A Bayesian Course with Examples in R and Stan
• Applied Hierarchical Modeling in Ecology
• Integrated Population Models
• R for Data Science
• Bayesian Methods for Ecology by Michael A. McCarthy
• The Complete Python Bootcamp: From Zero to Hero in Python (Udemy)
  • Milestone 1: Tic-Tac-Toe (Two-player CLI) — function decomposition & interaction for board rendering, input validation, win/draw logic, and replay loop.
    Skills: procedural programming, modular functions, control flow, input handling.

  • Milestone 2: Blackjack (CLI) — OOP with class composition using Card, Deck, Hand, Chips; betting system, hit/stand loop, and Ace adjustment.
    Skills: OOP design, encapsulation, method design, state management.

  • Milestone 3 (Applied Python systems)
    • 3a. Credit Card Validator — Implemented the Luhn algorithm plus rule-based provider classification (e.g., Visa/MasterCard via prefixes).
      Skills: algorithm design, rule-based branching, string/regex ops, defensive programming.
    • 3b. Bank Account Manager — Inheritance & polymorphism with Account base class and CheckingAccount, SavingsAccount, BusinessAccount subclasses; Bank orchestrates accounts, deposits/withdrawals, and transfers.
      Skills: OOP inheritance, class hierarchies, polymorphism, class interaction, CLI workflow.
    • 3c. Product Inventory — Inventory ↔ Product class interaction supporting CRUD (add/remove/update/search), low-stock checks, and quantity adjustments.
      Skills: OOP, data structures (lists/dicts), CRUD patterns, search/update logic.
    • 3d. Doctor–Patient Appointment System — Interacting classes (Doctor, Patient, Appointment, Scheduler) with availability checks and time-slot allocation (via datetime).
      Skills: multi-class OOP orchestration, relationship modelling, validation, time-based scheduling.
    • 3e. Library Lending System — Inheritance & polymorphism with Item parent (Book, Journal, DVD subclasses), plus Member and Loan for lending/returns and due-date tracking.
      Skills: OOP inheritance, polymorphism, encapsulation, state tracking, and domain modelling.
• Python for Data Science and Machine Learning Bootcamp (Udemy)