June- September 2022
Worked as a Research Engineer Intern, where I was able to apply both the more abstract mathematical problem-solving knowledge from my Mathematics course and my engineering skills for my internship project, while gaining more insight into how DeepMind research projects work.
June- July 2020
During the Summer of 2020, I worked for Empathy.co, a company which develops search engines and customer experiences inside clients' websites. I worked building an alert system to detect outliers, which will help clients find performance peaks and troughs in their data and predict future trends and possible strategies to follow (make bikinis earlier than other years, design purple swimsuits...). My job was mainly signal forecasting. It was important that the model took long-term growing/diminising trends, as well as seasonal components, and for it to give estimates for days with large amounts of traffic, such as Black Friday or sales. Also, it could not overfit, looking at small details of the previous days (maybe there was bad weather and slightly more users browsed the website), which should not be a big component of the prediction of following days, losing sight of the bigger picture and missing possible outliers. To overcome this difficulty, I designed a series of hybrid models, combining more robust techniques, such as Fast Fourier Transform or autoregression, with more robust methods, such as sequential and convolutional neural networks. You can learn more about this project here.
July 2019
During the Summer of 2019, I landed my first job and worked for Merkle Divisadero's Data Discovery team for one month, soon after having won the Datathon organised by the business, together with the Polytechnic School of Engineering in the University of Oviedo. It was a very enriching experience in which I applied what I had learned through books and online university courses to real projects, such as using TensorFlow to build consumer propensity models to predict behaviour along a customer journey and to try to stop them abandoning it half-way.
Aside from this, I wrote scripts to check data integrity with SQL and optimised data clearning and extraction processes in Apache Spark, bringing their execution down by a factor of about 1000.
October 2020- June 2024
I am studying a 4-year course, formed by a joint honours Bachelor's degree in Mathematics and Computer Science (finishing in 2023) and a Master's degree in this same subject (finishing in 2024). I am a member of St Hugh's College.
September 2006- June 2020
I have studied since Nursery in the English School of a Asturias, a school in Spain following the British education system. I have therefore received nearly all my lessons in English ever since I started and am thus bilingual.
Even though the school is not in the United Kingdom, we take the international versions of British examinations: IGCSEs and International A-Levels. I went straight from Year 7 to Year 9 and therefore graduated one year early than corresponding. I was House Captain in both Primary and Secondary.
July 2021
January 2020
June 2020
June 2020
June 2020
June 2020
June 2020
May 2018
Cambridge iGCSE Coordinated Sciences (Double Award) (Biología, Química y Física): A*A* (best mark in Spain)May 2018
Cambridge iGCSE First Language English: A*May 2018
Cambridge iGCSE First Language Spanish: AMay 2018
Cambridge iGCSE Foreign Language French: A*May 2018
Cambridge iGCSE Literature (English): A*May 2018
Cambridge iGCSE Additional Mathematics: A* (best mark in Spain)May 2017
Cambridge iGCSE Computer Science: A*May 2017
Cambridge iGCSE Mathematics- Extended: A*May 2017
Meta on Coursera (August 2022)
Economics of Money and BankingColumbia University on Coursera (August 2022)
Modern Art and IdeasThe Museum of Modern Art (MoMA) on Coursera (August 2022)
Sample-based Learning MethodsUniversity of Alberta on Coursera (May 2022)
AI for Medical DiagnosisDeepLearning.AI on Coursera (December 2021)
AI for Medical PrognosisDeepLearning.AI on Coursera (December 2021)
AI for Medical TreatmentDeepLearning.AI on Coursera (December 2021)
AI for Medicine SpecializationDeepLearning.AI on Coursera (December 2021)
Algorithms (II)Leetcode (October 2021)
Dynamic Programming (II)Leetcode (October 2021)
Behavioral EconomicsDuke University on Coursera (September 2021)
Data Collection and Processing with PythonUniversity of Michigan on Coursera (September 2021)
Google Get AheadGoogle (August-September 2021)
Fundamentals of Reinforcement LearningUniversity of Alberta on Coursera (December 2019)
Algorithms SpecializationUniversity of Stanford on Coursera (November 2019)
Combinatorics and ProbabilityUniversity of California, San Diego, National Research University Higher School of Economics on Coursera (November 2019)
Competitive Programmer's Core SkillsSaint Petersburg State University on Coursera (November 2019)
Shortest Paths Revisited, NP-Complete Problems and What to Do About ThemStanford University on Coursera (November 2019)
Deploying Machine Learning ModelsUniversity of California, San Diego on Coursera (September 2019)
Greedy Algorithms, Minimum Spanning Trees and Dynamic ProgrammingStanford University on Coursera (September 2019)
Python Data Products for Predictive Analytics SpecializationUniversity of California, San Diego on Coursera (September 2019)
Tensorflow Developer Professional CertificateDeepLearning.AI on Coursera (August 2019)
Divide and Conquer, Sorting and Searching, and Randomized AlgorithmsStanford University on Coursera (August 2019)
Graph Search, Shortest Paths, and Data StructuresStanford University on Coursera (August 2019)
Natural Language Processing in TensorflowDeepLearning.AI on Coursera (August 2019)
Sequences, Time Series and PredictionDeepLearning.AI on Coursera (August 2019)
Convolutional Neural Networks in TensorflowDeepLearning.AI on Coursera (July 2019)
Deep Learning SpecializationDeepLearning.AI on Coursera (July 2019)
Introduction to Tensorflow for Artificial Intelligence, Deep Learning, and Machine LearningDeepLearning.AI on Coursera (July 2019)
Meaningful Predictive ModellingUniversity of California, San Diego on Coursera (July 2019)
Sequence ModelsDeepLearning.AI on Coursera (July 2019)
Structuring Machine Learning ProjectsDeepLearning.AI on Coursera (July 2019)
Advanced Data Science CapstoneIBM on Coursera (June 2019)
Advanced Data Science with IBM SpecializationIBM on Coursera (June 2019)
Advanced Machine Learning and Signal ProcessingIBM on Coursera (June 2019)
Applied AI with Deep LearningIBM on Coursera (June 2019)
Basic Data Processing and VisualizationUniversity of California, San Diego on Coursera (June 2019)
Databases and SQL for Data ScienceIBM on Coursera (June 2019)
Design Thinking and Predictive Analytics for Data ProductsUniversity of California, San Diego on Coursera (June 2019)
Fundamentals of Scalable Data ScienceIBM on Coursera (June 2019)
IBM Data Science Professional CertificateIBM on Coursera (June 2019)
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and OptimizationDeepLearning.AI on Coursera (June 2019)
Introduction to Data Science SpecializationIBM on Coursera (June 2019)
Machine Learning with PythonIBM on Coursera (June 2019)
Neural Networks and Deep LearningDeepLearning.AI on Coursera (June 2019)
Applied Data Science CapstoneIBM on Coursera (May 2019)
Applied Data Science SpecializationIBM on Coursera (May 2019)
Data Analysis with PythonIBM on Coursera (May 2019)
Data Science MethodologyIBM on Coursera (May 2019)
Data Visualization with PythonIBM on Coursera (May 2019)
Open Source Tools for Data ScienceIBM on Coursera (May 2019)
Python for Data Science and AIIBM on Coursera (May 2019)
What is Data Science?IBM on Coursera (May 2019)
Algorithms on StringsStanford University on Coursera (February 2019)
Algorithms on GraphsStanford University on Coursera (September 2018)
Data StructuresStanford University on Coursera (August 2017)
Algorithmic ToolboxStanford University on Coursera (January 2017)
Pre-University CalculusTechnische Universiteit Delft on edX (September 2016)
The Analytics EdgeMIT on edX (July 2016)
User Innovation- A Path to EntrepreneurshipMIT on edX (July 2016)
Biology Meets Programming: Bioinformatics for BeginnersUniversity of California, San Diego on Coursera (April 2016)
Introduction to R ProgrammingMicrosoft on edX (April 2016)
Programming for Everybody (Getting Started with Python)University of Michigan on Coursera (April 2016)
Basic StatisticsUniversity of Amsterdam on Coursera (March 2016)
Introduction to Python for Data ScienceMicrosoft on edX (February 2016)
Entrepreneurship 101: Who is your customer?MIT on edX (April 2015)
Super-Earths and LifeHarvard University on edX (April 2015)
Applications of Linear Algebra (part 1)University of California, Davis on edX (March 2015)
Bases matemáticas: álgebraUniversidad Politécnica de Valencia on edX (March 2015)
Bases matemáticas: números y terminologíaUniversidad Politécnica de Valencia on edX (February 2015)
Introduction to Game DesignMIT on edX (January 2015)
June 2016
Consejo Escolar de la Comunidad de Madrid (10th March 2021)
La mujer, la niña y la cienciaEveris Foundation (11th February 2021)
Presentación Alianza STEAMSpanish Ministry of Education (11th February 2021)
DevFest Spain 2020: Despertando a la próxima generación de "chicas tech"Google Developer Groups Spain, Women Techmakers Spain (17th October 2020)
October 2021
TensorFlow Developer CertificateOctober 2021
St. Hugh's College Scholarship for UndergraduatesOctober 2021
Generation Google Scholarship EMEA 2021/22May 2021
Fundación María Cristina Masaveu Degree ScholarshipJanuary 2021
International Olympiad in Informatics (IOI 2020)- finalistOctober 2020
Iberoamerican Informatics Olympiad (CIIC 2020)- silver medalSeptember 2020
Spanish Informatics Olympiad (OIE 2020)- gold medal and prize for the highest female scoreApril 2020
Divisadero Datathon 2019- winners with the lowest MAE and prize to the best business ideaJuly 2019
Spanish Informatics Olympiad (OIE 2019)- prize to the highest score with Python y and to the highest female scoreApril 2019
VIII Asturian Informatics Olympiad- winner, Bill Gates Honourable Mention to the highest score in Sixth Form and Ada Lovelace Honourable Mention to the highest female scoreMarch 2019
Cambridge International Examinations High Achievement Award- Highest Mark in Spain in the iGCSE Co-ordinated (Double) SciencesAugust 2018
Cambridge International Examinations High Achievement Award- Highest Mark in Spain in the iGCSE Additional MathematicsAugust 2017
October 2020- present
Sponsored by large tech firms such as Amazon and BBVA, we teach competitive programming to teenage girls in Spain, helping them to enter the tech industry through technical coaching, mentoring, networking and competing for the possibility to represent Spain in the European Girls' Olympiad in Informatics (EGOI). Successes include admissions to top universities worldwide, EGOI bronze medal (second edition to happen next month) and a gender parity much closer to 50% in Spanish regional olympiads and national finals.
Udemy "Competitive Programming" Online CourseSummer 2021
During Summer 2021, I created a best-selling online course called "Competitive Programming", where I taught graph algorithms, dynamic programming and game theory, among other topics useful for competitors. I now have over 7000 students from 148 countries.
Member of the Scientific Committee, member of the Verification Committee of the Spanish Informatics OlympiadOctober 2020- present; March 2022- present
As a member of the Scientific Committee, I design and test mathematical and algorithmic challenges for the olympiad, which is used on each season to select the 4-student team that represents Spain internationally. As a member of the Verification Committee, I act as a liaison between the Olympiad and the Spanish Ministry of Education.
Member of the Scientific Committee (max. 2 per country) of the Western European Olympiad in Informatics (WEOI)October 2022- present
Countries participating in the International Olympiad in Informatics (IOI) usually participate every year in regional-international olympiads, such as the Central European Olympiad in Informatics (CEOI), the Iberoamerican Olympiad in Informatics (CIIC), etc. Each country participating in the WEOI can select up to two representatives for the technical tasks: problem setting and solving. My role here, where I represent Spain, therefore consists of ensuring that the WEOI is a challenging and fun contest for high-achieving teenagers in Europe. The first edition will take place in Summer 2023.
Computer Science Ambassador at the University of OxfordNovember 2021- present
I was chosen by the Department of Computer Science to be an Ambassador, representing the Department in outreach activities, with the aim of increasing diversity in the student body. This includes talks to schools explaining my projects and helping to organise open days and other events.
Problem setter and tester at the Madrid Informatics Olympiad2022 Edition
I was a problem setter for the 2022 edition of the Madrid Informatics Olympiad. This involved the design of a problem for the competition, testing of the rest of the problems in Python and Spanish to English translation of the problem statements.
Keynote speaker and mentor of C1b3rwall Academy2021/22 Edition
I was a keynote speaker of C1b3rwall Academy 2021/22, where I taught about algorithmic bias. C1b3rwall Academy is an online course with tens of thousands of students all over the world every year. I was also a mentor and the representative and image of the course on social media.
Keynote speaker of the IV National Cyberleague GC2022 Edition
The Spanish Civil Guard, the public organisation in charge of the Defence of the Spanish country in terms of cybersecurity, organises a yearly competition in this subject for students. On every edition they select a keynote speaker, who also acts as a mentor for the students throughout the final stages of the competition and is the image of the contest on social media.