Chancellor's Fellow (AI & Data Science) at EPCC, University of Edinburgh
Member of the UK Young Academy
Honorary Lecturer, University of St Andrews
Teaching, Examination and Supervision experience
Course Leader for:
-
Principles of Computer Communication Systems, University of St Andrews, since 2022
-
Databases, University of St Andrews, since 2022
PhD Students, since 2015
-
Co-supervisor of Alessandro Spinuso, Active Provenance for Data Intensive Research, from 2015 to 2018
-
Co-supervisor of Luca Trani, Holistic Catalogues for Data-Intensive Science, from 2015 to 2019
-
Co-supervisor of Ole Weidner, Data-Driven HPC, from 2015 to 2021
Examined seven external PhDs, since 2012
-
Giannis Evagorou, Methods for Efficient Storage, Distribution and Scalable Analysis of Spatial Data, Imperial College London University, UK, 2021
-
Pablo Cerro, Modelling and validation of cloud systems using model driven engineering, metamorphic and mutation testing, University Complutense, Spain, 2020
-
Hector Ortega, Parallel Approaches to Shortest-Path Problems for Multilevel Heterogeneous Computing, University of Valladolid, Spain, 2015
-
Idafen Santana Perez, Conservation of Computational Scientific Execution Environments for Workflow-based Experiments Using Ontologies , Polytechnic University of Madrid, Spain, 2015
-
Jordi Villaplana, Management of Cloud systems applied to eHealth, University of Lleida, Spain, 2015
-
Miquel Orobitg, High performance computing on biological sequence alignment, University of Lleida, Spain, 2013
-
Laura Prada, New techniques to model energy-aware I/O architectures based on SSD and hard disk drives, University Carlos III, Spain, 2012
Tutorials and laboratories, from 2010 to 2020:
My responsibilities also included to deliver training sessions in multi-day events attended by multidisciplinary audiences ranging from undergraduates and PhD students to senior academics.
-
Three Spark courses teaching at different PRACE-events, 2019
-
Introduction to Machine Learning, Scottish Enterprise, 2018
-
Introduction to Data Science at EPCC, 2019
-
Two Spark courses teaching at British Geological Survey, 2017
-
Three dispel4py seminars at various dissemination events, 2014 to 2016
Supervision of MSc and BSc students at the University of St Andrews, since 2022
-
Exploring ML solutions for calculating Python Code Similarity, 2022/2023, BSc
-
A New Serverless Stream Based Processing Framework, 2022/2023, BSc
-
A Neo4J Knowledge Graph for Python Code Repositories, 2022/2023, BSc,
-
Dynamic Deployment of Stream-based Applications, 2022, MSc
-
Improving an AI-web Tool for Analysing NLS Digital Collections, 2022, MSc
-
A Knowledge Graph and AI-Web-Platform to Explore UK Events data, 2022, MSc
Supervision of MSc Informatics students at the University of Edinburgh, from 2013 to 2020
-
Performance of parallel K-means algorithm using Python, 2020
-
From text to structured data, 2020
-
Dynamic optimizations of streaming applications, 2020
-
Automatic detection of Ionospheric Alfvén Resonances using machine learning algorithms, 2019
-
Parallel Strategies for K-means Algorithm, 2018
-
Comparison of performance between Apache Spark and dispel4py Data Streaming Tools, 2017
-
Dynamic and automated tool to transferr data and metadata from rock physic laboratories to a remote location, 2013
-
Enhancing a portable adaptive compression technique for MPI-based applications, 2013
-
Profiling analysis for a new Python framework (dispel4py) for describing abstract stream-based workflows, 2015
-
Design a run-time adaptive compression algorithm for stream-based workflows, 2015
-
Stream-based workflows with dispel4py library, 2015
Supervision of Open Science Data Cloud (OSDC)-PIRE program students, since 2012 to 2015
-
PRAS-DT: Portable, Reliable, and Automatic Streaming Data Transfer using Globus Online, 2012
-
Extending Rock Physics to the Cloud and Beyond, 2013
-
Varpy: A python library for volcanology and rock physics, 2013
-
Testing the scalability of dispel4py mappings to different parallel platforms, 2014
-
Analyse the 1000 Genome project data to study the mutation overlapping by population and chromosome, 2015
-
Analyse the output of the Variant Effect Predictor (VEP) to study the overlapping genes, 2015
Teaching Fellow at University Carlos III of Madrid, from 2005 to 2010
I have taught undergraduate courses in Master’s and Bachelor’s Computer Science Programmes. My responsibilities included material preparation; delivering lectures and tutorials;laboratory demonstration; grading homework and exams; and assisting students with course materials.
-
Subjects: Operating Systems, Computer Architecture, Fault-tolerant Systems, Introduction to Programming, Computer Structure and Distributed Systems.
Supervision of MSc Informatics students at University Carlos III of Madrid, from 2005 to 2010
-
Analysis, design and development for managing a user contact system, 2010
-
Design and implementation of a Java learning tool through Android, 2009
-
Study of the Moodle tool for online courses, 2009
-
Creating a virtual classroom for our research group using Moodle, 2008
-
Virtual course for the ”Fault-tolerant systems” course using Moodle, 2008
-
Virtual course for the ”Introduction to programming” course using Moodle, 2008
-
Virtual course for the ”Computer Structure” course using Moodle, 2006