Data Scientist @ From June 2013 to Present (2 years 7 months) Postdoc in Statistics @ - Created new statistical method (in R) to assess statistical significance of the correlation when the data is smoothed.
- Used machine learning techniques: local regression, spatial statistics, random processes, Monte Carlo simulation.
- Applied solution to an ecology context, identifying areas on Earth that are highly remote and biodiverse.
- Explored Functional Principal Component Analysis to cluster stock market data from Lehman-Brothers meltdown (R/Python). From June 2011 to May 2013 (2 years) Fellow @ Used Python/R/MongoDB/Hadoop to conduct sentiment analysis on streaming twitter API during the soccer Eurocup 2012 games to infer winner preferences. From June 2012 to August 2012 (3 months) Consultant, Statistical Consulting and Research Laboratory @ - Analyzed whether lumber quality depends on geolocation for FPInnovations, Canada's national forest research institute.
- Simulated scenarios (in R) to predict how elasticity of lumber evolves across time and space, using spatial statistics, mixed effects models, and quality control. From March 2010 to April 2011 (1 year 2 months) Postdoc @ Developed a robust non-parametric clustering algorithm (in R/Matlab) based on local medians, and proved convergence of the data points, and existence and uniqueness of a convergence point near each mode. From September 2009 to August 2010 (1 year) Instructor and Teaching Assistant @ Courses taught: Machine Learning, Econometrics, Introduction to Probability and Statistics, Regression, Time Series, Stochastic Processes, Design of Experiments, Survival Analysis, Sampling: Design and Analysis, Quality Control. From September 2001 to August 2009 (8 years) Statistician, Hospital Del Mar @ Managed and performed statistical analysis on the database from the Breast Cancer Prevention Program (in SPSS). From January 2000 to June 2000 (6 months)
PhD, Statistics @ Universidad Carlos III de Madrid From 2004 to 2009 M.Sc., Mathematical Engineering @ Universidad Carlos III de Madrid From 2002 to 2004 B.Sc., Statistics @ Universitat Politècnica de Catalunya From 1999 to 2001 The University of British Columbia Júlia Viladomat is skilled in: R, Statistics, Python, Data Analysis, Matlab, Data Mining, Statistical Modeling, Machine Learning, Monte Carlo Simulation, Cluster Analysis, Regression, Time Series Analysis, Design of Experiments, SAS
Looking for a different
Get an email address for anyone on LinkedIn with the ContactOut Chrome extension