My interests

Data Analysis, Machine Learning,  Deep Learning, Data MiningWeb Scraping, Big Data Analytics, Computer Simulation, and Visualization. 

About

I grew up in Puyehue, a town in North Patagonian of Chile. Then, I moved to study a B.S. Business Engineer and a M.S. in Economics at University of ConcepcionIn 2014, I worked in the Statistics Department of  Central Bank of Chile.  After four years working, supported by Fulbright and the National Agency for Research and Development Chile, I have been nominated for a PhD Data Science at Worcester Polytechnic Institute (WPI), Massachusetts, USA (2018-2023). At present, I’m part of Data-driven Intelligent Systems lab (DAISY), WPI. 

Work and Academic Positions

  • Present Data Science PhD Candidate

    Worcester Polytechnic Institute (WPI)
    Massachusetts, USA.

  • 2018 Web Scraping and Text Mining Lecturer

    Faculty of Physical Sciences and Mathematics (undergraduate)
    Universidad de Chile, Chile

  • 2014 - 2018 Economic Analyst

    Department of Statistics, Central Bank of Chile

Selected Awards

Ph.D. Scholarship (2018-2022)

Ph.D. Scholarship to study in the United States, supported by Fulbright Foreign Student Program and the National Agency for Research and Development (ANID), Chile.

Innovator of the year (2015)

Innovator of the year, nominated by the Statistics Department of Central Bank of Chile.

Masters scholarship (2012-2013)

National masters scholarship supported by National Commission for Scientific and Technological Research (CONICYT ) of Chile.

Selected Publications

More Publications

Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews

20th IEEE International Conference on Machine Learning and Applications (ICMLA, 2021)
Ricardo Flores, ML Tlachac, Ermal Toto, Elke A. Rundensteiner
Publisher's website

Transfer Learning for Depression Screening from Follow-up Clinical Interview Questions

Deep Learning Applications (DLAV), vol 4, Springer, 2022
Ricardo Flores, ML Tlachac, Ermal Toto, Elke A. Rundensteiner

Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning

ACM International Conference on Information Technology for Social Good (GoodIT), 2022
Ricardo Flores, ML Tlachac, Elke A. Rundensteiner

AudiFace: Multimodal Deep Learning for Depression Screening

Machine Learning for Healthcare, Accepted (acceptance: 37%), 2022
Ricardo Flores, ML Tlachac, Ermal Toto, Elke A. Rundensteiner
Publisher's website

Research Projects

I have been working on a variety of projects related to Data Science, Economics and Statistics. For example, I have done some research on Healthcare, Environmental Valuation, Health Economics, and Housing Market.

Programming