Research

Research and  projects

My current research focus on applying Deep Learning Models to the healthcare domain.

2021

Depression Screening

We apply transfer learning models using text and audio as inputs for depression screening.

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2019

Missing Values in Multivariate Time Series

We are applying deep learning models to impute missing values and classify multivariate time series, using some modify Recurrent Neural Network. The application of these techniques is in Healthcare.

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2017

An alternative housing price index for Chile; a Web Scraping case

We use the Web Scraping technique to collect data from real estate website. Then, we compute a new index that is useful as a contrast index.

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2017

Urban Land value estimation for Chile

We developed a methodology to calculate the national value of a property separated by construction and land value. These resoult will improve the chilean household statistics.

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2017

Loan Loss Provisions and the Mortgage Market: Evidence from a Quasi-Natural Experiment

Mauricio Calani, Ricardo Flores. Sent to Journal of Housing Economics.

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2013

Valuing Air Pollution Impacts on Health: A Comparison of Revealed and Stated Preferences Approaches in Developed and Developing Countries

Research assistant, Fondecyt 11090005

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2012

Socioeconomic Inequality in the Access to Dental and Specialized Health Treatment in Chile

Research assistant, Fondecyt 1110334

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Funding Institutions

These projects have been funded by Data Science department of Worcester Polytechnic Institute (WPI),  National Agency for Research and Development, Chile,  and  National Fund for Scientific and Technological Development (Fondecyt), Chile.