I work as a Data Scientist & Software Engineer at Kanto. I have been working as a Research Assistant 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.
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, 2020 | Attended the Lisbon Machine Learning School 2020, formerly Lisbon, Portugal. Participated as part of the summer school monitors team |
July 12-18, 2020 | Attended ICML 2020, formerly Vienna, Austria |
July 5-10, 2020 | Attended ACL 2020, formerly Seattle, Washington. Participated as a volunteer in the development of the virtual conference web platform on GitHub |
December 8-14, 2019 | Attended NeuriPS 2019, Vancouver, Canada. Presented “Feature selection algorithm recommendation for gene expression data with meta learning” in the LatinX in AI workshop |
November 9, 2019 | Obtained 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, 2019 | Attended the Lisbon Machine Learning School 2019, Lisbon, Portugal |
June 9-15, 2019 | Attended ICML 2019, Long Beach, California. Presented “Towards disentangled representations via variational sparse coding” in the LatinX in AI workshop |
May 6, 2019 | Started 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, 2019 | Reproducibility 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, 2018 | Obtained second place in the Umanis & Google Cloud AI for a Better World Hackathon, Paris, France. $3000 EUR prize |
December 3-6, 2018 | Attended 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, 2018 | Presented “Deep Learning: an overview and applications” at the University of Regensburg, Germany |
October 28, 2018 | Won the Movistar Data Talent data science competition, Lima, Peru. $3000 USD prize |
September 27-29, 2018 | Competed in the Data Science Game 2018 Finals, Paris, France |
August 2, 2018 | Won the Thesis Research Award 2018 for the best undergraduate thesis research projects in the university. $5000 PEN award |
June 1-30, 2018 | Participated in the Data Science Game 2018 Qualifiers, hosted in Kaggle. Qualified to the finals in Paris (18th place / 150 teams) [leaderboard] |
April 8, 2018 | Obtained second place in the Interbank data science competition, Lima, Peru. $1300 USD prize in specialization courses |
March 19 - April 30, 2018 | Obtained acceptance into the International Fellowship of the fast.ai Cutting-Edge Deep Learning for Coders course |
November 6-8, 2017 | Attended 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, 2017 | Participated in the Yamagata-Andes Nations’ Double Triangle Program, funded by the JASSO Scholarship, Yamagata and Tokyo, Japan |
June 3-7, 2017 | Attended the CVR-VISTA Vision Science Summer School, Toronto, Canada |
May 23, 2017 | Obtained second place in the SWAT Challenge category of the 24h de l’innovation global competition. $1000 PEN prize |
November 12, 2016 | Obtained 4th place in the ACM-ICPC South America/South Finals, Lima, Peru |
July 18-29, 2016 | Attended 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, 2016 | Obtained second place in the Calgary Collegiate Programming Contest, Calgary, Canada. $750 CAD prize |