Javier聽Puig
Research Associate
Glasgow, Scotland, United Kingdom
Summary
馃懁
Senior馃帗
Top SchoolJavier Puig is a research-focused software engineer and postdoctoral researcher with 10 years of experience applying recommender systems, information retrieval and NLP to financial, biomedical and social domains. Based at the University of Glasgow, he develops investment recommendation and ESG-risk extraction algorithms for retail and advisory platforms, and has led multiple EPSRC and EU projects that moved academic models toward commercialization. His PhD work on people recommendation emphasized network-level effects beyond accuracy, a perspective he continues to bring when assessing algorithmic impact on information flow and market behavior. Javier combines deep research acumen with hands-on system development and product validation鈥攈e has acted as entrepreneurial lead in market hypothesis testing and integrated portfolio optimization into production platforms. Fluent in cross-disciplinary collaboration, he has contributed NLP pipelines for clinical variant knowledgebases and practical recommender deployments in partnership with financial institutions. He is an analytically minded engineer who intentionally studies the systemic consequences of recommendations, not just their predictive scores.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science and Telecommunications, Doctor of Philosophy - PhD Computer Science and Telecommunications at Universidad Aut贸noma de Madrid
Spanish, English
Github Skills (14)
recommender-system10
java9
knn9
content-based-recommendation8
reinforcement-learning7
slim6
k-nearest-neighbours6
collaborative-filtering5
keras5
matrix-factorization5
knowledge-graph4
nearest-neighbor-search4
machine-learning3
react3
Programming languages (3)
Github contributions (5)
ir-uam/kNNBandit
Jul 2019 - Feb 2021
Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"
Contributions:7 commits, 6 pushes, 1 branch in 1 year 7 months
nearest-neighbor-searchrecommender-systemsreinforcement-learningmulti-armed-banditsknn
RankSys/RankSys
Nov 2017 - Feb 2021
Java 8 Recommender Systems framework for novelty, diversity and much more
Contributions:17 commits, 6 PRs, 14 pushes in 3 years 3 months
javarecommender-systemrecommender-systemsdiversitynovelty
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