I am a data scientist and researcher in bioengineering, specialized in biosignal analysis. Currently, I am a Computational Physics student at the National University of San Agustín, and I work on projects that combine data science and bioengineering.
- Scientific Computing Infrastructure: Implementing servers and workstations for high-computational-cost biological simulations.
- Computational Modeling: Investigating cardiopulmonary coupling through physiological signal simulations.
- Scientific Databases: Developing solutions with MongoDB and PostgreSQL for handling large data volumes.
- Data Science: Ongoing improvement of machine learning and deep learning techniques applied to biosignals.
- Big Data: Implementing scientific databases for analyzing large volumes of biological data.
- Biological Simulations: Applying computational methods to study complex biological systems.
- Bioengineering
- Machine Learning and Deep Learning applied to biosignals
- Computational modeling and simulations in biology
- Data science applied to health
- Time series analysis and entropy
- Interdisciplinary research projects in bioengineering, data science, and computational modeling.
- Analysis and processing of large biological datasets.
- Open-source developments focused on biosignals.
- Email: sfloreschav@unsa.edu.pe
- LinkedIn: Santiago Flores
- X (Twitter): @SantiagoFlores
- When I'm not programming or researching, I love learning about new technologies and how they can be applied to solve complex problems in bioengineering and health.