Master student in Bioengineering in the track of Bioinformatics and Machine Learning, specializing in computational biological data analysis.Thesis: Multiomics integration to uncover underlying mechanisms in Heatstroke.Research: Knowledge Graph and Semantic Web technologies for multi-omics integration

Internship in the Division of Computer Science and Engineering, Electrical and Mathematics, collaborating with the research group Estimation, Modeling, and Analysis Group (EMANG):- A method was developed to remove the lipid peak that appears in magnetic resonance signals using spectroscopy (MRS). The proposed method is based on Deep Learning and a mathematical model for signal processing.- Developed a method for automatically detecting epileptic seizures using machine learning and a mathematical model.

Collaborating with the Antonio Nariño University (UAN) and the University of Southern California (USC) in an ongoing investigation about new computational methods with Deep Learning for the automatic detection of strokes in magnetic resonance images (MRI).

Intern in Global Business Services (GBS) in charge of:- Develop capabilities around advanced analytics technologies for Enterprise applications.- Be part of multidisciplinary teams for the execution of MVPs or minimum viable products within the Agile framework.- Create software assets framed in the creation of analytical components using Python, R, Jupiter and Watson Studio.

Member of an investigation group: Renewable and Sustainable Energy.

In charge of solve questions and doubts in basic programming.

-In charge of theoretically and technically training a group of new people to provide bilingual customer service to North American companies.-Create action plans to improve KPIs and performance of the group in charge.

In charge to bring customer service to North American companies.