CV

You can downdload a detailed pdf version of my CV in the following link CV. To know in more detail about me and my projects, you can always visit other sections of this website.

Education

• M.Sc. in Data Science, King's College London, 2019
• M.Sc. in Business Analytics, University of Edinburgh, 2018
• B.Sc. in Statistics and Business, University of West Florida and University of Burgos, 2016

Research experience

• March 2020 - Present: Research Assistant for project: 5G enabled AI for robotic applications
• University of Lincoln
• Supervisors: Prof. Elizabeth Sklar and Prof. Simon Parsons
• Topics: Computer vision, De-centralised AI, Autonomous-farming, efficient deep learning structures
• March 2020 - Present: Research Assistant in Machine Learning
• University of Lincoln
• Supervisors: Dr. Petra Bosilj and Prof. Simon Parsons
• Topics: Computer vision, crowd counting, density estimation, and object detection
• March 2020 - September 2021: Research Assistant in Robotic Perception
• University of Lincoln
• Supervisors: Dr. Grzegorz Cielniak and Prof. Marc Hanheide
• Topics: Anomaly detection and Robustness in Deep Learning
• May 2019 - August 2019: Research Intern project in Machine Learning
• Kings College London at InteractLab
• Supervisors: Prof. Simon Parsons and Prof. Elizabeth Sklar
• Topics: Object detection, human-robot-interaction, coolaborative robots, active learning
• January 2019 - August 2019: MSc Research Project in Machine Learning
• King's College London
• Supervisor: Dr. Brendan Michael
• Topics: 3D Generative Adversarial Networks, 3D image classification
• January 2019 - August 2019: MSc Research Project in Machine Learning
• University of Edinburgh
• Supervisors: Prof. Jamal Ouenniche and Dr. Johannes De Smedt
• Topics: Graph Machine Learning, Costumer behaviour mining

Publications

• Deep Regression versus Detection for Counting in Robotic Phenotyping. In IEEE Robotics and Automation Letters (RAL) (Accepted. To be published)
• An experiment on human-robot interaction in a simulated agricultural task. In Proceedings of the 2020 Annual Conference Towards Autonomous Robotic Systems
• Understanding human responses to errors in a collaborative human-robot selective harvesting task. In Proceeding of EPSRC UK-RAS Network (2020). UKRAS20 Conference: “Robots into the realworld”
• Toward robot co-labourers for intelligent farming. In Companion of the 2020ACM/IEEE International Conference on Human-Robot Interaction

Teaching

• Spring 2021, Teaching assistant of the Machine Learning course at King's College London
• Topics: Introduction to Machine Learning, Neural Networks, Learning by demonstration, Bayessian networks, Deep Learning, Reinforcement Learning
• Spring 2020, Teaching assistant of the Machine Learning course at King's College London
• Topics: Introduction to Machine Learning, Neural Networks, Bayessian networks, Deep Learning, Reinforcement Learning
• Spring 2020, Teaching assistant of the Data Mining course at King's College London
• Topics: Introduction to Data Mining, Computer Vision, Natural Language Processing
• Winter 2020, Teaching assistant of the Artificial Intelligence course at King's College London
• Topics: Bayesian networks, argumentation, machine learning, probabilistic reasoning, game theory, markov decision processes, ethics in AI.
• Winter 2020, Associated demonstrator of the intro to robotics, machine learning, and big data madules at the University of Lincoln
• Topics: Intro to machine learning, intro to reinforcement learning, ROS, statistical analysis

Service

• Reviewer: 21st Towards Autonomous Robotic Systems Conference (TAROS 2020)
• Conference volunteer: 8th International Conference on Learning Representations (ICLR 2020)
• Conference volunteer: 37th International Conference on Machine Learning (ICML 2020)
• Reviewer: 12th International Conference on Social Robotics (ICSR 2020)
• Program Chair: 2nd Workshop of Quality of Interaction in Socially Assistive Robots (QISAR 2020) at 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020).
• Conference volunteer: Thirty-fourth Annual Conference on Neural Information Processing Systems (NeurIPS 2020).

Awards

• King’s Education Award (2020) Award to recognise teachers that supported students in and outside of the classroom
• Erasmus + grant (2016) European grant awarded on overall academic record to support cross country employment.
• International Erasmus in USA scholarship (2014) University of Burgos scholarship for outstanding student to study 1 year in a USA University.

Work experience

• October 2017 - May 2018, Data Scientist
• Dixons Carphone, Edinburgh,UK
• Duties included: Applied machine learning, modelling of customer behaviour, predict and understand trends in industry
• October 2016 - March 2017, Marketing Analyst Intern
• Voxbone, Brussels, Belgium
• Duties included: Datasets management, marketing analytics, website revamp </p>
• January 2016 - May 2016, Business consultant intern
• Florida Small Business Development Center, Pensacola, Florida, USA
• Duties included: Online marketing for local small businesses, web development
• September 2014 - August 2015, President Student Council
• University of Burgos Student Union, Burgos, Spain
• Duties included: Student union management

Skills

• Programming Languages
• Python, MATLAB, C++, R, HTML, SQL
• Relevant libraries
• Keras, Tensorflow, Pytorch, Scikit-learn, OpenCV, CUDA, Amazon Web Services, Google Cloud
• Tools & Operative Systems
• Linux, ROS, Windows, Git, GitHub, LATEX, Google Colaboratory, Unix Shell Scripting (bash)
• Tools & Operative Systems
• English (proficient) and Spanish (native speaker)