Open to opportunities

Karla Cuevas Villalobos

@karlacuevasvillalobo

Message

Research scientist specializing in machine learning and computational modeling.

Germany

Message

What I'm looking for

I am looking for opportunities that foster innovation, collaboration, and sustainability.

I am a passionate research scientist with a Ph.D. in Engineering Sciences from TU Berlin, specializing in machine learning and computational modeling. My journey has been driven by a commitment to lifelong learning and a desire to optimize processes across various domains, particularly in manufacturing and construction. I have developed a diverse toolkit that includes statistical modeling, data visualization, and machine learning techniques, which I have applied to real-world challenges in concrete structures and additive manufacturing.

Throughout my career, I have successfully led multidisciplinary international projects, collaborating with teams across Asia, Europe, and the Americas. My work has resulted in multiple peer-reviewed publications and conference presentations, showcasing my ability to communicate complex ideas effectively. I am particularly proud of my contributions to sustainability innovation, where I optimized concrete formulations to reduce carbon footprints while maintaining performance. I am eager to leverage my expertise in machine learning to drive advancements in other industries.

Experience

Work history, roles, and key accomplishments

Current

Scientific Researcher

Current

Technische Universität Berlin

Oct 2020 - Present (4 years 9 months)

Developed Python scripts for automated image data collection and porosity analysis, reducing processing time by 30% and improving accuracy. Classified material defects using machine learning for faster decision-making in additive manufacturing.

Python OpenCV NumPy Pandas scikit learn Machine Learning Computer Vision Statistical Modeling

Scientific Researcher

Technische Universität Berlin

Jul 2019 - Present (6 years)

Designed and executed experimental models to analyze lightweight aggregate effects on hydration kinetics and durability. Leveraged statistical modeling to derive predictive insights for material optimization and improved durability.

Experimental Design Statistical Modeling Hydration Kinetics Durability Analysis

Project Engineer

Municipalidad de Puente Alto

Dec 2018 - Present (6 years 7 months)

Led a team of professionals to deliver a pre-feasibility study of an intermodal station. Focused on sustainable urban development within the project.

Project Management feasibility studies Urban Development Team Leadership

Teaching Assistant

Technische Universität Berlin & Pontificia Universidad Catól

Aug 2016 - Present (8 years 11 months)

Mentored and assisted in various courses related to sustainable innovation and advanced concrete technology. Contributed to hands-on learning experiences for students in sustainable construction techniques and materials.

Mentoring Teaching

Education

Degrees, certifications, and relevant coursework

Technische Universität Berlin

Ph.D. in Engineering Sciences, Engineering Sciences

Grade: Magna Cum Laude

Completed doctoral studies with a focus on engineering sciences. Achieved a Magna Cum Laude grade, demonstrating exceptional academic performance and research contributions.

Pontificia Universidad Católica de Chile

Master in Engineering Sciences, Engineering Sciences

Grade: Honors

Graduated with Honors from the Master's program in Engineering Sciences. This program provided advanced knowledge and research skills in the field.

Pontificia Universidad Católica de Chile

Bachelors & Diploma in Engineering and Construction Management, Engineering and Construction Management

Completed a comprehensive program covering both engineering principles and construction management. Gained foundational knowledge and practical skills relevant to the construction industry.