Lidia Contreras-Ochando

[PhD in Computer Science | AI Educator & Researcher]

GitHub · YouTube · LinkedIn

Hi, I'm Lidia! :)

I’m a Vocational Training Lecturer at Enseñanzas Profesionales Sorolla (Grupo Sorolla Educación) in Valencia, where I teach web programming. I'm also lecturer at the module Artificial Intelligence in Cybersecurity in the Master in Artificial Intelligence at the Universidad Europea de Valencia.

Previously, I worked as a post‑doctoral Researcher at the Valencian Research Institute for Artificial Intelligence (VRAIN) at the Universitat Politènica de València, being part of the Language Engineering and Pattern Recognition (ELiRF) group. My work is supported by the project "Combining Explainable Artificial Intelligence and Conceptual Modelling for Data Intensive Domains Management" (CIPROM/2021/023).

I have a PhD in Computer Science from the Universitat Politènica de València. I did the PhD under the supervision of José Hernández-Orallo and Cèsar Ferri. My work was supported by a MECD FPU Grant (2016-2020): REF FPU15/03219 from the Spanish Government.

I've also published on Amazon a collection of colouring books made with artificial intelligence (Artificial Art).

In the last years I've been working at the Research & Innovation Office at the Universitat Politènica de València under the supervision of María Belén Picó Sirvent (Vice-Rectorate for Research, Innovation and Transfer). My work was focused on the Grant ECT2020-000765 and supported by the MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR.

Previous to that I worked at CSIC with Javier Buceta in the I2SysBio (CSIC-UV) at The Science Park (UV). I've been two times in KU Leuven as visiting scholar at DTAI Group under the supervision of Luc De Raedt. Previous to the PhD, I worked as a Researcher at Universitat Politènica de València (2015-2016) and at Université de Strasbourg (2016), under the supervision of Nicolas Lachiche. In 2016, I received my M.Sc. from the Universitat Politènica de València with first class honours. I also hold a Bacherlor's Degree in Computer Science and I'm Technical Engineer in Data Processing.

Main Publications

  • Enhancing Precision Medicine: An Automatic Pipeline Approach for Exploring Genetic Variant-Disease Literature. Lidia Contreras-Ochando, Pere Marco Garcia, Ana León, Lluís-F Hurtado, Ferran Pla, Encarna Segarra. In International Conference on Conceptual Modeling (2023). [pdf]
  • AUTOMAT[R]IX: learning simple matrix pipelines. Lidia Contreras-Ochando, Cèsar Ferri, José Hernández-Orallo. In Machine Learning (2021). [pdf]
  • Towards Data Wrangling Automation through Dynamically-Selected Background Knowledge. Lidia Contreras Ochando. PhD thesis (2020). [pdf]
  • CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories. Fernando Martínez-Plumed, Lidia Contreras-Ochando, Cèsar Ferri, José Hernández-Orallo, Meelis Kull, Nicolas Lachiche, María José Ramírez-Quintana, Peter Flach. In IEEE Transactions on Knowledge and Data Engineering (2019). [pdf]
  • BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation. Lidia Contreras-Ochando, César Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (2019). [pdf]
  • Automating Common Data Science Matrix Transformations. Lidia Contreras-Ochando, Cèsar Ferri, José Hernández-Orallo. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (2019). [pdf]
  • Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge. Lidia Contreras-Ochando, Cesar Ferri, José Hernández-Orallo, Fernando Martınez-Plumed, Marıa José Ramırez-Quintana, Susumu Katayama. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (2019). [pdf]
  • CASP-DM: Context Aware Standard Process for Data Mining. Fernando Martínez-Plumed, Lidia Contreras-Ochando, Cèsar Ferri, Peter Flach, José Hernández-Orallo, Meelis Kull, Nicolas Lachiche, María José Ramírez-Quintana. In arXiv preprint arXiv:1709.09003 (2017). [pdf]
  • Domain specific induction for data wrangling automation. Lidia Contreras-Ochando, Cesar Ferri, José Hernández-Orallo, Fernando Martınez-Plumed, Marıa José Ramırez-Quintana, Susumu Katayama. In AutoML @ ICML 2017 (2017). [pdf]
  • Wind-sensitive Interpolation of Urban Air Pollution Forecasts. Lidia Contreras-Ochando, Cesar Ferri. In Procedia Computer Science (ICCS 2016) (2016). [pdf]
  • Cycling network projects: a decision-making aid approach. Fernando Martínez Plumed, César Ferri Ramírez, Lidia Contreras Ochando. In First Workshop on Data Science for Social Good (SoGood 2016) (2016). [pdf]
  • airVLC: An application for visualizing wind-sensitive interpolation of urban air pollution forecasts. Lidia Contreras-Ochando, Cesar Ferri. In ICDM 2016 (2016). [pdf]
  • General-Purpose Inductive Programming for Data Wrangling Automation. Lidia Contreras-Ochando, Fernando Martínez-Plumed, Cèsar Ferri, José Hernández-Orallo, María José Ramírez-Quintana. In AI4DataSci @ NIPS (2016). [pdf]
  • Logging Data Scientists: Collecting Evidence for Data Science Automation. Lidia Contreras-Ochando, Fernando Martínez-Plumed, Cèsar Ferri, José Hernández-Orallo, María José Ramírez-Quintana. In AI4DataSci @ NIPS (2016). [pdf]
  • Airvlc: An application for real-time forecasting urban air pollution. Lidia Contreras Ochando, Cristina I Font Julián, Francisco Contreras Ochando, Cesar Ferri Ramírez. In MUD2 @ ICML 2015 (2015). [pdf]

More publications...

Teaching

  • AI in Cybersecurity. Master in Artificial Inteligence. Universitat Europea de Valencia (2025).
  • Artificial Intelligence. Bachelor's Degree in Interactive Technologies. Universitat Politècnica de València, Gandia Campus (2022).
  • Big Data. Bachelor's Degree in Interactive Technologies. Universitat Politècnica de València, Gandia Campus (2022).
  • New Technologies Applied to Tourism. Bachelor's Degree in Tourism. Universitat Politècnica de València, Gandia Campus (2022).
  • Introduction To Computer Science And Programming with Java. Bachelor's Degree in Computer Science. Universitat Politècnica de València (2019).
  • Applied Computer Science. Bachelor's Degree in Public Administration and Management. Universitat Politècnica de València (2019).
  • Data Science Workshop for High School Students: Visualisation with Tableau; Machine Learning with RapidMiner. CienciaLab 2019. Universitat Politècnica de València (2019).
  • Databases And Information Systems: SQL. Bachelor's Degree in Computer Science. Universitat Politècnica de València (2018).
  • Programming Languages, Technologies and Paradigms: Java; Haskell; Prolog. Bachelor's Double Degree in Business Administration and Management + Computer Science. Universitat Politècnica de València (2018).
  • Data Science Workshop for High School Students: Open Data; Privacy & Security; Visualisation with Tableau; Machine Learning with RapidMiner. CienciaLab 2018. Universitat Politècnica de València (2018).
  • Data Science introduction workshop: Data Cleaning & analysis process with RapidMiner. Jornadas de Ciencia de Datos - dataUPV. Universitat Politècnica de València (2018).
  • Data Science Workshop: Make the questions, the data will answer them. Data Science process using RapidMiner. Forum Lluis Vives. Universitat Politècnica de València (2017).
  • Strategic Information Systems: Data Science with RapidMiner. Bachelor's Degree in Computer Science. Universitat Politècnica de València (2017).

Data Science Community

Groups and Communities

  • President of dataUPV (Student's association)
    • Co-organiser of I OpenDatathon ETSINF-UPV, 2016
    • Co-organiser of II OpenDatathon ETSINF-UPV, 2017
    • Co-organiser of III OpenDatathon ETSINF-UPV + Data Science Workshop, 2018
    • Organiser of MYT 2019: First Forum UPV about Women in Technology
  • Co-founder R-Ladies Valencia group
  • Member of NASA Datanauts program (Fall class, 2017)
    • Co-organiser NASA SpaceApps Challenge Valencia 2018 and 2019
  • Co-organiser Women TechMakers Valencia, 2017

Data Science Awards

  • HackForGood 2018: ParticleAI (Artificial Intelligence for analysing, predicting and alert users about high levels of pollen and pollutants in Valencia).
    • Second local prize.
    • Second national prize.
  • Extraordinay Master Award (best records from my promotion), Universitat Politècnica de València, 2016.
  • Master's Degree Final Project Award, Universitat Politècnica de València, 2016.
  • HackForGood 2016: BikeXplorer (Data analytics and prediction of bike sharing system use in Valencia).
    • First local prize.
    • Third national prize.
    • Open Future award.
    • Open Webinars award.
    • Open Data award.
  • Second prize Sandalio Miguel - María Aparicio award 2016 (Fundación Domus)
  • HackForGood 2015: airVLC (Prediction of pollution in Valencia in real time using Machine Learning).
    • Third local prize.
    • Think Big award.
    • Best Challenge award.
  • Finalist on Social Media Expo @ iConference 2015, California (USA) with the project TransparencyScience.