I am a researcher at the Artificial Intelligence Research Group of the Pontifical Catholic University of Peru, where I finished my bachelors in Informatics Engineering with one year of abroad studies at the University of São Paulo in Brazil and the University of Calgary in Canada.

I have been working on research projects covering neural machine translation, hierarchical text classification, recommender systems, AutoML and generative models, while also working as a part-time data scientist at a startup (Kanto) and as a teaching assistant at my university.

Additionally, I enjoy participating in data science competitions (and previously ACM-ICPC programming competitions), being the finalist of the Data Science Game 2018 in Paris, France, and contributing to open source projects.

News

July 21-19, 2020Attending the Lisbon Machine Learning School 2020, formerly Lisbon, Portugal. Participating as part of the summer school monitors team
July 12-18, 2020Attending ICML 2020, formerly Vienna, Austria
July 5-10, 2020Attending ACL 2020, formerly Seattle, Washington. Participating as a volunteer for the development of the virtual conference web platform on GitHub
December 8-14, 2019Attended NeuriPS 2019, Vancouver, Canada. Presented “Feature selection algorithm recommendation for gene expression data with meta learning” in the LatinX in AI workshop
November 9, 2019Obtained third place and best ML model performance in the final phase of the Belcorp Datathon data science competition, Lima, Peru. $3000 PEN prize
July 11-18, 2019Attended the Lisbon Machine Learning School 2019, Lisbon, Portugal
June 9-15, 2019Attended ICML 2019, Long Beach, California. Presented “Towards disentangled representations via variational sparse coding” in the LatinX in AI workshop
May 6, 2019Started the MITx MicroMasters Program in Statistics and Data Science, as part of the Advanced Program in Data Science and Global Skills funded by Aporta
March 31, 2019Reproducibility report of “Variational Sparse Coding” accepted in the ICLR Reproducibility Challenge 2019, and for publication in the ReScience C journal. Interview blog post about the challenge by Comet.ml
December 8, 2018Obtained second place in the Umanis & Google Cloud AI for a Better World Hackathon, Paris, France. $3000 EUR prize
December 3-6, 2018Attended the International Conference on Bioinformatics and Biomedicine 2018, Madrid, Spain. Presented “Feature selection algorithm recommendation for gene expression data through gradient boosting and neural network metamodels”
November 29, 2018Presented “Deep Learning: an overview and applications” at the University of Regensburg, Germany
October 28, 2018Won the Movistar Data Talent data science competition, Lima, Peru. $3000 USD prize
September 27-29, 2018Competed in the Data Science Game 2018 Finals, Paris, France
August 2, 2018Won the Thesis Research Award 2018 for the best undergraduate thesis research projects in the university. $5000 PEN award
June 1-30, 2018Participated in the Data Science Game 2018 Qualifiers, hosted in Kaggle. Qualified for the finals in Paris (18th place)
April 8, 2018Obtained second place in the Interbank data science competition, Lima, Peru. $1300 USD prize in specialization courses
March 19 - April 30, 2018Obtained acceptance into the International Fellowship of the fast.ai Cutting-Edge Deep Learning for Coders course
November 6-8, 2017Attended the Peruvian Congress of Systems and Operations Research 2017, Lima, Peru. Presented “Optimization model for humanitarian relief supply distribution for frosts and cold weather in Peru”
July 30 - August 14, 2017Participated in the Yamagata-Andes Nations’ Double Triangle Program, funded by the JASSO Scholarship, Yamagata and Tokyo, Japan
June 3-7, 2017Attended the CVR-VISTA Vision Science Summer School, Toronto, Canada
May 23, 2017Obtained second place in the SWAT Challenge category of the 24h de l’innovation global competition. $1000 PEN prize
November 12, 2016Obtained 4th place in the ACM-ICPC South America/South Finals, Lima, Peru
July 18-29, 2016Attended the São Paulo School of Advanced Science on Algorithms, Combinatorics and Optimization 2016, São Paulo, Brazil. Presented “An Evolutionary Optimization Approach for Disaster Relief Supplies Distribution”
March 12, 2016Obtained second place in the Calgary Collegiate Programming Contest, Calgary, Canada. $750 CAD prize