CV

Curriculum vitae, generated from _data/cv.yml.

Contact Information

Name Katherin Molina Granados
Email kath.kahlo@hotmail.com

Experience

  • 2015 - present

    Sydney, Australia

    CPTO
    Kahlo Group Pty Ltd
    Leads technology, analysis, and research-oriented initiatives involving organisational systems, software architecture, business processes, and applied artificial intelligence.
    • Development of the AOOS research and technology programme
    • Design of architectures for autonomous software agents and investigation of multi-agent coordination and governance mechanisms
    • Translation of organisational requirements into technical architectures
    • Development of structured workflows, information models, and decision systems; integration of research, engineering, and product-development practices
    • Design of auditability, observability, and human-supervision mechanisms for autonomous systems
  • 2025 - 2025
    Consultant Data Analyst
    KITBC Consulting
    Short-duration analytics engagement supporting operational improvement for large-scale automated mining operations.
    • Analyzed operational information to identify performance bottlenecks and process inefficiencies
    • Direct exposure to autonomous fleet operations, operational analytics, resource utilisation, and the interaction between autonomous technology and operational management

Research Profile

Research Interests

Primary Research Area: Mission-Level Coordination for Heterogeneous Autonomous Systems
Core Research Areas: Multi-Agent Systems, Mission-Level Autonomy, Heterogeneous Autonomous Systems, Distributed Decision-Making, Multi-Robot Coordination, Human–Autonomy Teaming, Autonomous Cognitive Systems
Supporting Research Areas: Agent-Based Modelling, Distributed Artificial Intelligence, Agent Communication, Adaptive Task Allocation, Coalition Formation, Agent Governance and Oversight, Complex Adaptive Systems, Computational Simulation
Application Domains: Field Robotics, Environmental Monitoring, Precision Agriculture, Autonomous Mining Operations, Complex Industrial Systems

Education

  • 2024 - 2026

    Chile

    Master
    Pontificia Universidad Católica de Chile
    Business Analytics
    • Graduated with Maximum Distinction; GPA 6.7/7.0
    • Ranked 1st in Graduation Seminars I, II, and III; overall ranking 4th of 40 graduates
    • Research on the integration of machine learning, topological segmentation, survival analysis, explainable AI, and financial simulation
  • 2024 - 2024

    Chile

    Diploma
    Pontificia Universidad Católica de Chile
    Business Intelligence
    • GPA 6.6/7.0 — business intelligence, data analytics, decision-support systems, data warehousing, organisational performance analysis
  • 2020 - 2023

    Australia

    Bachelor of Information Technology
    Victoria University
    Web & Mobile Application Development
    • GPA 6.13/7.0 — degree completed in Australia and delivered in English; software development, systems analysis, databases, object-oriented programming, computer networks, digital transformation
    • Capstone: designed, engineered, and deployed a full social network platform for Victoria University, covering the complete software engineering lifecycle from design through deployment
  • 2009 - 2011

    Colombia

    Undergraduate (5 semesters)
    Universidad Cooperativa de Colombia
    Telecommunications and Electronics Engineering
    • Foundational studies in electronics, telecommunications, mathematics, and engineering systems (Algebra, Calculus, Probability & Statistics, Algorithm Design & Logical Problem Solving, Wave Physics, Circuits & Signal Propagation)

Certificates

  • Diploma in Business
  • AWS Data Analytics
  • Diploma in Project Management (Universidad EAN/Colombia)

Publications

Projects

  • 2023 - present
    AOOS — Autonomous Organization Operating System

    Kahlo Group. Industrial research and technology development programme combining investigation of autonomous cognitive and multi-agent systems with the engineering of an enterprise software platform for autonomous organisations. The research dimension examines how heterogeneous autonomous software agents can communicate, coordinate tasks, share organisational knowledge, and make distributed decisions while remaining subject to explicit governance and human oversight; the product dimension translates these concepts into a platform for managing autonomous agents, organisational knowledge, permissions, workflows, policies, resources, and decision processes.

    • Multi-agent orchestration, autonomous cognitive systems, and agent communication protocols
    • Agent capability/role representation and organisational knowledge ontologies
    • Workflow and task orchestration; policy and permission enforcement
    • Agent memory and knowledge management
    • Auditability, decision traceability, real-time observability, and explainable agent behaviour
    • Human-in-the-loop supervision and human–autonomy teaming across heterogeneous agents and systems

Open Source Projects

  • MOSAIC — Agent-Based Multi-Robot Coordination

    Independent computational research, 2026. Designed and evaluated an open, reproducible Agent-Based Model for decentralized coordination mechanisms in heterogeneous multi-robot missions, integrating task allocation, communication networks, auctions, incentives, reputation, coalition formation, and adaptive agent behaviour.

    • Formalization of individual and cooperative mission tasks; representation of heterogeneous robot capabilities
    • Design of market-based task-allocation mechanisms and coalition-formation procedures
    • Implementation of communication and distributed-knowledge mechanisms
    • Definition of reward, reputation, and adaptation processes; construction of automated verification procedures
    • Development of a reproducible 690-run experimental programme and statistical evaluation of structural and behavioural coordination mechanisms
  • Multi-Layer Customer Retention Framework

    Master’s research project, 2025–2026. Developed a computational framework for customer-retention decision-making using real-world administrative records from a Colombian health insurer, integrating several analytical perspectives because the underlying problem could not be adequately represented by a single prediction model.

    • Designed an end-to-end analytical research pipeline integrating topological segmentation, machine learning, and survival analysis
    • Implemented explainability using SHAP; compared alternative predictive and survival models
    • Evaluated behavioural, temporal, and financial dimensions of customer retention
    • Developed reproducible code and analytical materials; translated model outputs into operational decision scenarios
    • Produced an open-access research paper and repository

Research Preparation

  • Introduction to Agent-Based Modeling — Santa Fe Institute, Complexity Explorer (2026). Agent-based simulation, model conceptualisation, emergence, complex adaptive systems, collective behaviour, model verification, experimental design, BehaviorSpace experimentation, reproducible simulation. MOSAIC originated as the final project for this course and was subsequently expanded as an independent collaborative research project.
  • Robotics Software Engineer Nanodegree — Udacity. Robot software engineering, localisation, path planning, search algorithms, mapping, autonomous navigation, robotics software concepts, and ROS-based development concepts.

Research Skills

Computational Research: Research problem formulation, experimental design, Agent-Based Modelling, computational simulation, statistical analysis, model verification and validation, reproducible research, scientific programming, quantitative interpretation, research documentation
Autonomous and Multi-Agent Systems: Multi-Agent Systems, mission-level coordination, distributed decision-making, agent communication, adaptive task allocation, coalition formation, market-based coordination, capability-based role allocation, autonomous cognitive systems, agent governance, human–autonomy teaming, human-in-the-loop supervision
Artificial Intelligence and Analytics: Machine learning, explainable AI, natural language processing, topological data analysis, behavioural segmentation, survival analysis, process mining, data mining, data engineering, decision-support systems, business analytics, operational analytics
Programming and Software Engineering: Python, R, SQL, NetLogo, object-oriented programming, database systems, Git/GitHub, software architecture, data pipelines, open-source research workflows
Analytical Methods and Technologies: XGBoost, logistic regression, random forests, Random Survival Forest, Kaplan–Meier estimation, Cox proportional hazards modelling, SHAP, UMAP, HDBSCAN, statistical model comparison, financial simulation
Robotics Foundations: Localisation, path planning, search algorithms, autonomous navigation, robot software concepts, ROS concepts
Business and Decision Analytics: Business analysis, decision analysis, requirements analysis, stakeholder analysis, business process modelling, process improvement, performance measurement, KPI design, operational analysis, scenario analysis, cost–benefit analysis, risk analysis, data-driven decision-making, decision-support systems
Economic Foundations and Market Processes: Economic fundamentals, microeconomic reasoning, price theory, marginal analysis, opportunity cost, market processes, economic calculation, entrepreneurship, competition and coordination, incentives, resource allocation, capital and interest, monetary theory, business cycle theory, institutional analysis, spontaneous order, methodological individualism
Project and Research Management: Project management, research project planning, scope management, risk management, stakeholder management, requirements management, resource planning, schedule management, project governance, project monitoring and control, agile project management, cross-functional coordination, research delivery

Professional Memberships

  • Australian Computer Society — Associate Member, No. 4448962
  • IEEE (Institute of Electrical and Electronics Engineers) — Member, No. 101391129

Open Research and Professional Profiles

ORCID: orcid.org/0009-0002-7194-9021
GitHub: github.com/ka-means
LinkedIn: linkedin.com/in/katherin-molina
Kaggle: kaggle.com/kathmolina
Zenodo: zenodo.org/records/19815868

Languages

Spanish : Native
English : Full Professional Proficiency

References

  • Professor Pablo Marshall Rivera

    Professor and Director, Master of Business Analytics, Pontificia Universidad Católica de Chile — pmarshall@uc.cl. Evaluated academic performance and research development during the Master of Business Analytics and supervised the progression of graduation research.

  • Professor Marcos Ernesto Sepúlveda Fernández

    Professor, School of Engineering, Pontificia Universidad Católica de Chile — marcos.sepulveda@uc.cl

  • Additional References

    Available upon request.