My interests

AI, Data Science,  Mental Health, Deep Learning for Healthcare, Multimodal Models (image, text, audio). 


I grew up in Puyehue, a town in North Patagonian of Chile. Then, I moved to study a B.S. in Business Engineering and a M.S. in Economics at the University of ConcepcionIn 2014, I worked in the Statistics Department of the 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). Currently, I’m part of the Data-driven Intelligent Systems lab (DAISY) at WPI (advisor Prof. Elke A. Rundensteiner) and a Postdoc in Data Fusion and Machine Learning at Sanofi company.

Work and Academic Positions

  • Present Postdoc Data Fusion and Machine Learning

    Apply multimodal models to multi-sensor tools for complex biological datasets at Sanofi.

  • 2022-2023 Research Assistant at Data Science Department

    Worcester Polytechnic Institute (WPI), MA, USA.
    Advisor: Elke A. Rundensteiner

  • 2014 - 2018 Data Analyst

    Department of Statistics, Central Bank of Chile

Selected Awards

Ph.D. Scholarship (2018-2023)

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

Temporal Facial Features for Depression Screening

ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) Mental Health: Sensing and Intervention, 2022
Ricardo Flores, Avantika Shrestha, ML Tlachac, and Elke Rundensteiner
Publisher's website

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

Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning

Proceedings of the 2022 ACM Conference on Information Technology for Social Good
Ricardo Flores, ML Tlachac, Elke A. Rundensteiner
Publisher's website

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

Deep Learning Applications (DLAV), vol 4, Springer, 2023
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.