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Ricardo Antonio Flores Huenchullanca

Assistant Professor

Universidad de Concepción

Concepción, Chile

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

PhD in Data Science, WORCESTER POLYTECHNIC INSTITUTE. Estados Unidos, 2023
M. S. - Economics , UNIVERSIDAD DE CONCEPCION. Chile, 2013
Economics, UNIVERSIDAD DE CHILE. Chile, 2010

Assistant Professor Part Time

Universidad de Concepción

Concepción, Chile

2012 - 2013
Data Analyst Full Time

Central Bank of Chile

Santiago, Chile

2014 - 2018
Postdoc, Data Fusion and Machine Learning Full Time

Sanofi

Boston, Estados Unidos

2023 - 2024

Research Award

WORCESTER POLYTECHNIC INSTITUTE

Estados Unidos, 2023

Second place Data Science, Cybersecurity, and Computer Science category for the Graduate Research Innovation Exchange (GRIE), 2023. At Worcester Polytechnic Institute (WPI), MA, USA
Ph.D. Scholarship,

COMISION FULBRIGHT-CHILE

Chile, 2016

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

BANCO CENTRAL DE CHILE

Chile, 2015

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


Temporal Facial Features for Depression Screening Flores, Ricardo; Shrestha, Avantika Article UbiComp/ISWC '22 Adjunct: Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers (2023)
AudiFace: Multimodal Deep Learning for Depression Screening Flores, Ricardo Article Proceedings of Machine Learning Research (2022)
DepreST-CAT: Retrospective Smartphone Call and Text Logs Collected during the COVID-19 Pandemic to Screen for Mental Illnesses Flores, Ricardo; Houskeeper, Katie Article Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (2022)
Early Mental Health Uncovering with Short Scripted and Unscripted Voice Recordings Flores, Ricardo Article Deep Learning Applications (2022)
Ensembles of BERT for Depression Classification Senn, Saskia; Flores, Ricardo Article Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2022)
Impact assessment of stereotype threat on mobile depression screening using Bayesian estimation Reisch, Miranda; Lewis, Brittany; Flores, Ricardo; Harrison, Lane Article Healthcare Analytics (2022)
Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning Flores, Ricardo; Tlachac, ML; Rundensteiner, Elke Article GoodIT '22: Proceedings of the 2022 ACM Conference on Information Technology for Social Good (2022)
StudentSADD: Rapid Mobile Depression and Suicidal Ideation Screening of College Students during the Coronavirus Pandemic Flores, Ricardo; Kayastha, Rimsha; Taurich, Nina; Melican, Veronica; Bruneau, Connor; Caouette, Hunter; Lovering, Joshua Article Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (2022)
Transfer Learning for Depression Screening from Follow-Up Clinical Interview Questions Flores, Ricardo Article Deep Learning Applications (2022)
Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews Flores, Ricardo; Tlachac, M. L.; Toto, Ermal; Rundensteiner, Elke A.; Wani, MA; Sethi, I; Qu, G; Raicu, DS; Jin R. Article ISI 20TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2021) (2021)
A Bayesian quantile binary regression approach to estimate payments for environmental services Ibarnegaray V. Article ISI SCOPUS ENVIRONMENT AND DEVELOPMENT ECONOMICS (2017)


DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task Flores, Ricardo ConferencePaper (2023)
Multi-Task Learning Using Facial Features for Mental Health Screening Flores, Ricardo ConferencePaper (2023)

Ricardo Flores

Assistant Professor

Universidad de Concepción

Concepción, Chile

Ricardo Antonio Flores Huenchullanca

Líneas de Investigación

Educación

PhD in Data Science, WORCESTER POLYTECHNIC INSTITUTE. Estados Unidos, 2023

M. S. - Economics , UNIVERSIDAD DE CONCEPCION. Chile, 2013

Economics, UNIVERSIDAD DE CHILE. Chile, 2010

Experiencia Profesional

Assistant Professor Part Time

Data Analyst Full Time

Postdoc, Data Fusion and Machine Learning Full Time

Formación de Capital Humano

Difusión y Transferencia

Premios y Distinciones

Research Award

Ph.D. Scholarship,

Innovator Of The Year

Article (11)

Temporal Facial Features for Depression Screening

AudiFace: Multimodal Deep Learning for Depression Screening

DepreST-CAT: Retrospective Smartphone Call and Text Logs Collected during the COVID-19 Pandemic to Screen for Mental Illnesses

Early Mental Health Uncovering with Short Scripted and Unscripted Voice Recordings

Ensembles of BERT for Depression Classification

Impact assessment of stereotype threat on mobile depression screening using Bayesian estimation

Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning

StudentSADD: Rapid Mobile Depression and Suicidal Ideation Screening of College Students during the Coronavirus Pandemic

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

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

A Bayesian quantile binary regression approach to estimate payments for environmental services

ConferencePaper (2)

DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task

Multi-Task Learning Using Facial Features for Mental Health Screening

Ricardo Flores