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- Papers:
- No Plankton Left Behind: Preliminary results on massive plankton image recognition. 2024.
- FairTrees: A Deep Learning Approach for Identifying Deforestation on Satellite Images. 2024.
- Capturing the Essence of Plankton: A Gradient-weighted Class Activation Mapping Analysis. 2024.
- Reinforcement-learning robotic sailboats: simulator and preliminary results. 2023.
- Enhancing Writing Skills of Chilean Adolescents: Assisted Story Creation with LLMs. 2023.
- A Graph Neural Network with Spatio-temporal Attention for Multi-sources Time Series Data: An application to Frost Forecast. 2022.
- Searching for changing-state AGNs in massive datasets–I: applying deep learning and anomaly detection techniques to find AGNs with anomalous variability behaviours. 2022.
- Frost forecasting model using graph neural networks with spatio-temporal attention. 2021.
- A Human-centric and Environment-aware Testing Framework for Providing Safe and Reliable Cyber-Physical System Services. 2020.
- Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment. 2019.
- Environment-aware and human-centric software testing framework for cyber-physical systems. 2019.
- Mental Workload Assessment in Smartphone Multitasking Users: A Feature Selection Approach using Physiological and Simulated Data. 2018.
- Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing. 2018.
- Conferences and Talks:
- I presented two papers at IBERAMIA 2024
- I gave a talk at the 4th Indigenous Technology Congress
- I participated in the SIGMOD/PODS 2024 conference
- I participated (as an author) in the NeurIPS 2023 conference
- Inria Journées Scientifiques 2023 Navigating Complexity: Autonomous Sailing via Multi-objective Reinforcement Learning
- Inria Journées Scientifiques 2022 Anomaly Detection for Real-time Identification of Changing-State AGNs in Massive Datasets
- 2nd Conference on Space and Artificial Intelligence 2021 organized by CLAIRE and ESA
- I participated as an author in the conference ICLR 2021
- I participated as an author in the conference International Conference on Web Engineering 2019
- I participated as an author in the Web Intelligence Conference 2018
I am an AI Research Scientist and Engineer with a Master of Science in Computer Science from KAIST and a Bachelor's Degree in Engineering from Universidad de Chile.
I currently work at Inria Chile.
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My interests encompass topics such as Deep Learning, Reinforcement Learning, Mathematical Modeling, Large Language Models, Agents and Systems. Additionally, I have been working on applications of deep learning in Astronomy and Biology.
Short Academic Bio:
I started my career in artificial intelligence research in 2015, upon graduating from the University of Chile. I initially served as an Assistant Researcher and Data Scientist at both the Complex Engineering Systems Institute and the Engineering School at the University of Chile. In 2018, I was awarded a scholarship by KAIST to pursue a Master of Science in Computer Science working at the Web Engineering Lab, which allowed me to spend two enriching years in South Korea. During this time, I had the opportunity to immerse myself in the local culture, meet remarkable people, and advance my knowledge and skills as a researcher and engineer. After returning to my home country, I joined Inria Chile, the French research institute dedicated to digital sciences and technology, as an AI Research Scientist.
Throughout my career, I have participated in numerous projects and studies in various capacities. This diverse experience has enabled me to develop a comprehensive understanding of computer science, artificial intelligence, and digital technologies. My work has encompassed various roles, including research, collaborative research, engineering, and project management, which have all contributed to my growth as a proficient and adaptable researcher. Moving forward, I am committed to advancing the field of AI through continued research, fostering interdisciplinary collaborations, and contributing to the development of cutting-edge technologies that address complex societal challenges.