About Juan Jose
I am a dedicated and enthusiastic scientist who enjoys solving real life and complex problems using R, Python and the latest data science technologies.
I have a Master’s degree in physics and a Ph.D. in statistics and big data.
Throughout my professional career I have been involved in multiple R&D projects:
- Experimental Design of clinical trials.
- OMOP methodology and tools.
- Analysis of large biomedical databases.
- Estimation of treatment effect with regression models with random effects.
- Logistic classification with clustering, random forest and boosting.
- Analysis of the Spatio-temporal evolution of implants using 3D scanner images.
- Analysis of Event Sequence Analysis.
- Adaptive Bayesian models.
- Classical and deep learning analysis of time series.
- Sentiment analysis with NLP.
- Image classification.
- Pattern identification in finance.
- Optimization of trading models.
- Pattern identification in high performance sports.
- Optimization of ship container logistics.
- Identification of anomalies in manufacturing process.
Spanish
Native or bilingual
English
Fluent
French
Conversational
Catalan
Fluent
Remote only
Primarily works remotely
Experience
- Medical Research Institute La Fe (IIS La Fe)Senior Data ScientistMEDICALOctober 2022 - Today (3 years and 8 months)Valencia, SpainApplied statistical modeling and data science to analyze biomedical data (OMOP).Designed e-Health and real-life studies using massive data.Designed Big Data and Machine Learning techniques for research projects.Provided data science advice to other researchers.Active search for collaboration opportunities.
- VRAIN - Valencian Research Institute for Artificial IntelligenceSenior Data ScientistRESEARCHFebruary 2021 - August 2021 (6 months)Valencian Community, SpainCollaborated in a short-term project to analyze COVID19 data and predict the severity of the patients.Applied Statistics and Machine Learning methods to cleanse the data and create statistical models with R.
- UCAM Universidad Católica San Antonio de MurciaResarch Fellow and Teaching AssistantRESEARCHMay 2015 - September 2020 (5 years and 4 months)Murcia, SpainSupported healthcare public institutions and private clients to analyze their data and develop R packages and simulations.Applied statistics, machine learning methods and cloud computing (AWS and Spark) to analyze biomedical data in order to find efficient methods to analyze very large databases.Collaborated in the creation of a new biostatistics department at the UCAM University. Taught statistics, R and Python to Medicine, High Performance Sports and PhD students.Research fellowship at the UCL. Study of sequences of cardiovascular events.Extensive use of R, caret, Julia, Python, Stan, SQL and Stata.
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Education
- Doctor of Philosophy - PhD, Biostatistics and Big DataUCAM Universidad Católica San Antonio de Murcia2020Doctor of Philosophy - PhD, Biostatistics and Big Data. Summa Cum Laude. Thesis: “Application of Big Data methods to the analysis of biomedical data: Identification of factors associated with the occurrence of missing data and study of event sequences with incomplete dates.”.
- Teaching Certificate: Training and Development SpecialistFundación TREFOR2003Teaching Certificate: Training and Development Specialist