Cristopher M.
PhD Researcher Candidate
Experience
Jan 2022 - Oct 2025
3 years 10 monthsPhD Researcher Candidate
Eindhoven University of Technology
- Conducting research on design optimization of hydrogen burners using SU2 Computational Fluid Dynamics software.
- Implementation of physics models for multicomponent and reacting flows in C++.
- Improved burner efficiency by optimizing combustion device geometries and developing Python-based analysis frameworks, contributing to better performance and lower emissions.
- Promoted research collaboration by authoring and publishing detailed tutorials on SU2 GitHub, enhancing knowledge transfer and community engagement.
- Contributing to the development of an open-source code.
Oct 2021 - Dec 2021
3 monthsExternal Consultant
CEO Ingenieros
- Part-time external consultant to estimate the readjustment of costs for thermal lances used in mining and the metallurgical industries.
- Provided a polynomial cost model of thermal lances based on economic indicators: Chilean Consumer Price Index, dollar exchange rate, and steel variation rates.
Dec 2019 - Feb 2020
3 monthsEngineering Intern
Bosch Thermotechniek
- Applied machine learning techniques to optimize hydrogen-powered domestic gas boilers.
- Conducted data mining analysis incorporating clustering techniques and automated outlier detection.
- Performed post-process analysis with deep learning and Gaussian processes to predict new outputs for unmeasured operating conditions.
Languages
Spanish
NativeEnglish
AdvancedEducation
Oct 2019 - Jun 2021
TU Delft University of Technology
Master of Science in Mechanical Engineering · Mechanical Engineering · Delft, Netherlands · 8.0
Oct 2013 - Jun 2016
Universidad de Chile
Bachelor of Sciences in Civil Engineering, Hydraulic Engineering · Civil Engineering · Santiago, Chile · 7.0
Certifications & licenses
Practical Data Analysis For Researchers
Eindhoven University Of Technology
Time Series Analysis
Eindhoven University Of Technology
Machine Learning In Fluid Mechanics
J.M. Burgers Centrum
Optimization Methods For Computational Fluid Dynamics
Von Karman Institute For Fluid Dynamics
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