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Gonzalo Andrés Ruz Heredia

Full Professor

Universidad Adolfo Ibáñez

Santiago, Chile

Líneas de Investigación


-Machine learning -Evolutionary computation -Gene regulatory network reconstruction from data using Boolean networks -Reverse engineering GRN using evolutionary algorithms -Bayesian networks -Data mining applications in industry

Educación

  •  Machine Learning, CARDIFF UNIVERSITY. Reino Unido, 2008
  •  Electrical Engineering, UNIVERSIDAD DE CHILE. Chile, 2003
  •  Electrical Engineering, UNIVERSIDAD DE CHILE. Chile, 2003
  •  Engineering Sciences, UNIVERSIDAD DE CHILE. Chile, 2002

Experiencia Académica

  •   Post-Doc student Other

    UNIVERSIDAD ADOLFO IBANEZ

    Engineering and Sciences

    Santiago, Chile

    2009 - 2011

  •   Associate Professor Full Time

    UNIVERSIDAD ADOLFO IBANEZ

    Engineering and Sciences

    Santiago, Chile

    2013 - 2019

  •   Assistant Professor Full Time

    UNIVERSIDAD ADOLFO IBANEZ

    Engineering and Sciences

    Santiago, Chile

    2011 - 2013

  •   Full Professor Full Time

    UNIVERSIDAD ADOLFO IBANEZ

    Engineering and Sciences

    Santiago, Chile

    2019 - A la fecha

Experiencia Profesional

  •   Business Intelligence Engineer Full Time

    SONDA

    Santiago, Chile

    2004 - 2005

Formación de Capital Humano


PhD Thesis:
-Ricardo Truffello, 2020, La importancia del espacio geográfico para minimizar el error de muestras representativas.
-Sebastián Osores, 2020, Phenotypic integration of physiological and life-history traits along a latitudinal gradient in intertidal ectotherms. (co-guided with Marco Lardies)
-Pablo Henríquez, 2019, NEW DEVELOPMENTS FOR RANDOMIZED NEURAL NETWORKS.
-Gustavo Rodríguez, 2018, Complex early successional network dynamics of bacterial communities in engineered microcosms. (co-guided with Bernardo González)
-Tania Timmermann, 2018, MODELING OF PLANT RESPONSES TO THE ENVIRONMENT THROUGH GENE REGULATORY NETWORKS INFERENCE. (co-guided with Bernardo González)
-Alex Di Genova, 2017, Assembly of complex genomes: Algorithms and Applications.
-Mauricio Valle, 2012, Job Turnover: An Economic, Psychological and Applied Approach.

Master Thesis:
-Lorenzo Gimeno, 2020, DESAGREGACIÓN DE DATOS Y MODELAMIENTO PROBABILÍSTICO PARA MANEJAR CANCELACIONES DE RESERVAS DE TICKETS AÉREOS.
-Giorgio Pulvirenti, 2019, A method of evaluation and prioritization of Data Governance activities in Big Data projects.
-Justo Solís, 2019, Predicción de fuga de clientes en una empresa de telecomunicaciones, mediante machine learning, utilizando variables financieras y operacionales.
-Daniel Rubio, 2018, Machine learning como herramienta predictiva de mortalidad para la prevención de riesgo epidémico en salmoneras Chilenas.
-Cristóbal Figueroa, 2015, Estudio de medición de seguridad y costo computacional aplicando redes Booleanas en algoritmo de encriptación de mensajes.

Undergrad Capstone projects:
-Benjamín Espinosa, 2017, Sistema RTD Para Ofertas de Bolsas Pre-Pago.
-Karen Astudillo, Mihail Pozarski, and Joaquín Rivano, 2017, Herramienta Interactiva y Punto de Retiro.
-Martín Gallegos, Francisco Lyng, Diego Navia, and Franziska Sharman, 2016, Predicción de la demanda de clientes de LATAM por medio de Minería de Datos.
-Axel Leddihn and Javier Gallardo, 2016, PRIMER ACERCAMIENTO DE PROTOCOLO DE PRESERVACIÓN DE PRIVACIDAD Y SENSIBILIDAD DE DATOS APLICADO A SMU S.A.
-Rodrigo Anuch and Christian Albina, 2016, Desarrollo e implementación de sistema de alertas aplicado a estados financieros de pequeñas y medianas empresas.
-Luciano Caramori and Diego Araya, 2016, Fuga de clientes en Alvi y Construmart.
-Martin Roberts, 2016, Dinámica de atractores de redes booleanas bajo cambios en el modo de actualización entre paralela y asíncrona.
-Germán Andrés Rudolph Achondo; Juan Carlos Maguire Masihy, 2015, Mecanismos Para Reducir La Duración Real De Las Carreras De Ingeniería En La Universidad Adolfo Ibáñez.
-Alvaro Gonzalez; Nicolás Cuadra, 2015, Modelo Para La Evaluación De Promociones Basado En Métricas Accionables Derivadas Del Uso De Business Intelligence.
-Anne Luisa Moenne- Loccoz Bustamante; Carol Elizabeth Lockling Zeballos, 2015, Detección De Anomalías En Los Procesos De Pago A Proveedores Del Grupo Latam.
-Francisco Astudillo Rodríguez; Michael Breytmann Schulze, 2013, Aplicación de inteligencia de negocios al análisis de la demanda de sacos para fertilizante en una empresa manufacturera.
-Samuel de la Sotta Vergara; Ricardo Hoffmann Rencoret, 2013, Segmentación de salas en una de las principales cadenas de farmacias del país.
-Felipe Cárdenas Ovalle; Jean Paul Derout Dattoli, 2012, Control de proyecto basado en la sistematización de procesos.
-Pablo Ramirez Marin, 2011, Aplicación de inteligencia de negocios al análisis de riesgo de importaciones para la aduana del puerto Valparaíso.
-Matías Reyes; Cristián Bohn, 2011, Desarrollo de un macro modelo para mejorar la eficiencia de los procesos de retención del Banco Crédito e Inversiones.


Difusión y Transferencia


G.Ruz participated in the 2020 edition (November) of the Puerto Ideas Valparaíso Festival. The festival consists of an annual meeting dedicated to the exchange and circulation of humanistic, scientific and artistic ideas, aimed at the entire community. On this occasion, G.Ruz participated with Professor Sandra González-Bailón (Annenberg School for Communication, University of Pennsylvania), in the session called “Navigating in a sea of likes” where they discussed the use of data science in social media analysis for a general audience.
G.Ruz was General Chair of the 2020 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). This was the 17th version of the conference, and it was to be held in Viña del Mar (the first time in Latin America), however, due to the pandemic, it was held virtually (https://cibcb2020.uai.cl). Although this conference has a rather scientific focus, given the virtual format, a registration for 10USD was enabled for the general public. This was quite positive since a greater reach and dissemination was achieved (more than 30 enrolled under this category, most of them undergraduate students and the general public, not academic) of topics not common to the general public.
In August 2019, G.Ruz participated in the Seminar Challenges of the Incorporation of Artificial Intelligence and Technologies in Litigation, an activity organized by the UC Justice Reform Program and which was sponsored by the Chamber's Arbitration and Mediation Center of Commerce of Santiago (CAM Santiago). G.Ruz gave a talk entitled “A brief introduction to AI and applications” aimed mainly at students and professionals from the Chilean Judicial Branch.
G.Ruz has also given scientific talks (Gene regulatory network modeling) to high schools visiting our univerisity: SANTO DOMINGO, ALCAZAR DE LAS CONDES, Adventista de Las Condes, Instituto Claudio Matte, Colegio Institución Teresiana.


Premios y Distinciones

  •   Honor roll student

    UNIVERSIDAD DE CHILE

    Chile, 1999

    Top 5% at the School of Physical and Mathematical Sciences, University of Chile.

  •   ALFA award

    UNIVERSIDAD DE CHILE

    Chile, 2003

    America Latina - Formacion Academica (ALFA). 6 month visit at the Manufacturing Engineering Centre, Cardiff University (UK)

  •   ORSAS award

    CARDIFF UNIVERSITY

    Reino Unido, 2004

    Overseas Research Students Awards Scheme (ORSAS) for PhD studies in the UK

  •   IPROMS 2005 young authors prize

    CARDIFF UNIVERSITY

    Reino Unido, 2005

    For the best paper by a young author at the Intelligent Production Machines and Systems-First I*PROMS Conference 2005

  •   Outstanding contribution in research

    UNIVERSIDAD ADOLFO IBANEZ

    Chile, 2013

    Award given by the Faculty of Engineering and Sciences, for the number of publications generated during 2013.

  •   Best Researcher in Engineering and Technology, Year 2018

    UNIVERSIDAD ADOLFO IBANEZ

    Chile, 2019

    Prize awarded at the rector's annual report ceremony


 

Article (42)

Finding Hierarchical Structures of Disordered Systems: An Application for Market Basket Analysis
Lac operon Boolean models: dynamical robustness and alternative improvements
Modeling Recidivism through Bayesian Regression Models and Deep Neural Networks
A Twitter-Lived Red Tide Crisis on Chiloé Island, Chile: What Can Be Obtained for Social-Ecological Research through Social Media Analysis?
Attractor landscapes in Boolean networks with firing memory: a theoretical study applied to genetic networks
Reconstruction of a gene regulatory network of the induced systemic resistance defense response in Arabidopsis using boolean networks
Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers
Slow Degradation Fault Detection in a Harsh Environment
Gene networks underlying the early regulation of Paraburkholderia phytofirmans PsJN induced systemic resistance in Arabidopsis
Market basket analysis by solving the inverse Ising problem: Discovering pairwise interaction strengths among products
Noise reduction for near-infrared spectroscopy data using extreme learning machines
A Boolean network model of bacterial quorum-sensing systems
A non-iterative method for pruning hidden neurons in neural networks with random weights
Controversies in social-ecological systems: lessons from a major red tide crisis on Chiloe Island, Chile
Discovering divergence in the thermal physiology of intertidal crabs along latitudinal gradients using an integrated approach with machine learning
Fast-SG: an alignment-free algorithm for hybrid assembly
Managing the 1920s Chilean educational crisis: A historical view combined with machine learning
Market basket analysis: Complementing association rules with minimum spanning trees
Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers
School Choice in a Market Environment: Individual versus Social Expectations
Early successional patterns of bacterial communities in soil microcosms reveal changes in bacterial community composition and network architecture, depending on the successional condition
Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers
Quorum-Sensing Systems in the Plant Growth-Promoting Bacterium Paraburkholderia phytofirmans PsJN Exhibit Cross-Regulation and Are Involved in Biofilm Formation
Using self-organizing maps to model turnover of sales agents in a call center
Crisis in complex social systems: A social theory view illustrated with the chilean case
Improving the performance of inductive learning classifiers through the presentation order of the training patterns
A survival model based on met expectations Application to employee turnover in a call center
Dynamics of neural networks over undirected graphs
Explaining job satisfaction and intentions to quit from a value-risk perspective
TURNOVER PREDICTION IN A CALL CENTER: BEHAVIORAL EVIDENCE OF LOSS AVERSION USING RANDOM FOREST AND NAIVE BAYES ALGORITHMS
Dynamical and topological robustness of the mammalian cell cycle network: A reverse engineering approach
Neutral space analysis for a Boolean network model of the fission yeast cell cycle network
Deconstruction and Dynamical Robustness of Regulatory Networks: Application to the Yeast Cell Cycle Networks
Discovering Craniofacial Patterns Using Multivariate Cephalometric Data for Treatment Decision Making in Orthodontics
Learning gene regulatory networks using the bees algorithm
Policy making for broadband adoption and usage in Chile through machine learning
Job performance prediction in a call center using a naive Bayes classifier
NBSOM: The naive Bayes self-organizing map
Automated visual inspection system for wood defect classification using computational intelligence techniques
Building Bayesian network classifiers through a Bayesian complexity monitoring system
Unsupervised training of Bayesian networks for data clustering
A neurofuzzy color image segmentation method for wood surface defect detection

ConferencePaper (38)

Estimating SIR model parameters from data using differential evolution: an application with COVID-19 data
Market basket analysis using Boltzmann machines
Random vector functional link with naive Bayes for classification problems of mixed data
Reconstruction of Boolean regulatory models of flower development exploiting an evolution strategy
Transactional database analysis by discovering pairwise interactions strengths
Twitter sentiment classification based on deep random vector functional link
A novel representation for Boolean networks designed to enhance heritability and scalability
An empirical study of the hidden matrix rank for neural networks with random weights
Inferring bistable lac operon Boolean regulatory networks using evolutionary computation
Boolean model of gene regulatory networks with memory: application to the elementary cellular automata
Neutral space analysis of gene regulatory network models of salt stress response in Arabidopsis using evolutionary computation
Physiological responses of intertidal crabs to environmental gradients on the coast of Chile using an integrated approach with machine learning
Reconstruction of a GRN Model of Salt Stress Response in Arabidopsis using Boolean Networks
Reconstruction of a GRN model of salt stress response in arabidopsis using genetic algorithms
Threshold Networks: Universality and Applications
Using Self-Organizing Maps to model turnover of Sales Agents in a Call Center as probabilities of state changes
A synthetic bacterial consortium design to optimize and control plant-bacteria interaction
Attraction basins in a lac operon model under different update schedules
From the qualitative analysis in a lac operon model that predicts bistability
Neutral graph of regulatory Boolean networks using evolutionary computation
Predicting Turnover of Sales Agents in a Call Center with Random Forest and Naive Bayes: Evidence of Loss Aversion in Turnover Intentions
Dynamical robustness of the Mammalian cell cycle network: a mathematical approach
Mathematical tools for the dynamical analysis of Boolean regulatory networks
Máquina de aprendizaje para una clasificación biogeográfica latitudinal del cangrejo Cyclograpsus cinereus de acuerdo a sus atributos fisiológicos
On the preservation of limit cycles in Boolean networks under different updating schemes
Predicción de la rotación de empleados en un call center mediante entrenamiento y aprendizaje de árbol de clasificación
Building synthetic networks of the budding yeast cell-cycle using swarm intelligence
El rol de la aversión al riesgo en los ingresos y las expectativas de agentes de venta sobre la satisfacción en el trabajo y las intenciones de renuncia
Predicción de la rotación de empleados en un call center mediante análisis discriminante
Reconstruction and update robustness of the mammalian cell cycle network
Cycle attractors for different deterministic updating schemes in Boolean regulation networks
Explaining turnover: A survival model based on expectations
Robustness of limit cycle attractors in Boolean networks under update schedule perturbations
Discovering facial biotype pattern using multivariate cephalometric data for treatment decision making
Learning gene regulatory networks with predefined attractors for sequential updating schemes using simulated annealing
A medical claim fraud/abuse detection system based on data mining: A case study in Chile
Image segmentation using fuzzy min-max neural networks for wood defect detection
Fuzzy Min-Max Neural Network for Image Segmentation

ConferencePoster (3)

A synthetic bacterial consortium design by compartmentalized logic gates
Reconstruction of a gene regulatory network controlling the induced systemic resistance triggered by a plant growth promoting bacterium in Arabidopsis thaliana infected with a phytopathogen
Growth patterns identification for prediction based on multivariate statistics

Proyecto (13)

GEMA: mejorando la Gestión de Energía en Microrredes con Almacenamiento via optimización estocástica y machine Learning
Gobernando transiciones críticas en sistemas socioecológicos: El caso de Chiloé, Chile
Desarrollo de modelos predictivos usando machine learning para la toma de decisiones en la produccion de arandanos bajo condiciones actuales y proyectadas de cambio climatico
Learning strategies for discrete, continuous, and hybrid Bayesian network classifiers
Automata networks: Inverse problems and dynamics
Bien Publico Observatorio turistico Big Data Region Metropolitana
Methodological Approaches Investigated as Accurately as possible for applications to biology (MAIA)
Millennium Nucleus Models of Crises: the Chilean Case
Centro de Ecología Aplicada y Sustentabilidad
Mineral exploration in the north of Chile using data mining
Attractors in Boolean networks under different types of update perturbations: A reverse engineering approach
Constructing genetic regulatory networks from data using evolutionary computation
Propuestas para fortalecer la demanda por servicios de banda ancha en Chile
98
Gonzalo Ruz

Full Professor

Engineering and Sciences

Universidad Adolfo Ibáñez

Santiago, Chile

9
Eric Goles

Full Professor

Facultad de Ingeniería y Ciencias

Universidad Adolfo Ibáñez

Santiago, Chile

6
Mauricio Valle

Asistente

UNIVERSIDAD FINIS TERRAE

Santiago, Chile

4
Pablo Henríquez

PROFESOR ASISTENTE

FACULTAD DE ECONOMÍA Y EMPRESAS

Universidad Diego Portales

SANTIAGO, Chile

4
Mauricio Valle

Assistant Professor

Universidad Finis Terrae

Santiago, Chile

2
Marco Montalva

Assistant Professor

UNIVERSIDAD ADOLFO IBÁÑEZ - FACULTAD DE INGENIERÍA Y CIENCIAS

Santiago, Chile

2
Sergio Rica

Professor

Facultad de Ingeniería y Ciencias

UNIVERSIDAD ADOLFO IBÁÑEZ

Santiago, Chile

2
Pablo Estevez

Profesor Titular

Departamento de Ingenieria Eléctrica

DEPTO. INGENIERÍA ELÉCTRICA, UNIVERSIDAD DE CHILE

Santiago, Chile

1
Marco Lardies

DIRECTOR

CIENCIAS

UNIVERSIDAD ADOLFO IBAÑEZ

Santiago, Chile

1
MARTHA HENGST

Académico

Ciencias Farmacéuticas

UNIVERSIDAD CATOLICA DEL NORTE

Antofagasta, Chile

1
Marlene Manzano

Coordinador de Investigacion

Universidad Mayor

Santiago, Chile

1
Marco Billi

Investigador Postdoctoral

Centro de Ciencia del Clima y la Resiliencia (CR)2

Universidad de Chile

Santiago, Chile

1
Andrea Vega

Assistant Professor

Ciencias Vegetales

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Santiago, Chile

1
RODRIGO CORDERO

Profesor Asociado

Sociología

UNIVERSIDAD DIEGO PORTALES, ESCUELA DE SOCIOLOGÍA

SANTIAGO, Chile

1
Raimundo Sánchez

Profesor Asistente

Ingeniería Industrial

Universidad Adolfo Ibáñez

Santiago, Chile

1
Raúl Donoso

Investigador postdoctoral

PIDi

Universidad Tecnológica Metropolitana

Santiago, Chile

1
felipe urbina

Académico

Centro de Investigación DAiTA lab

Universidad Mayor

Santiago, Chile

1
Gabriela Azócar

Profesora Asistente

Trabajo Social

Universidad Alberto Hurtado

Santiago, Chile

1
Javiera Barrera

Profesora Asociada

FACULTAD DE INGENIERÍA Y CIENCIAS

Universidad Adolfo Ibañez

Santiago, Chile

1
Ana Zúñiga

postdoctoral research fellow

Centre de Biologie Structurale

Montpellier, Francia

1
María Poupin

Associate Professor, Academic Director of Executive Education

Facultad de Ingeniería y Ciencias

Universidad Adolfo Ibáñez

Santiago, Chile

1
Marcelo Villena

Profesor Investigador

Ingeniería & Ciencias

Universidad Adolfo Ibánez

Santiago, Chile

1
Gustavo Rodriguez

PostDoc

Ingeniería y Ciencias

Universidad Adolfo Ibánez

Santiago, Chile

1
Alex Di Genova

Assistant professor

Engineering sciences

Universidad de O'Higgins

Rancagua, Chile