Math, data & computing
Past achievements in this expertise area
A key early experience was my high school thesis, where I conducted a three-month experiment tracking the growth of 60 plants (Figure 1). I analyzed the data using non-parametric statistics like the Wilcoxon/Mann-Whitney test, which taught me to handle real-world, imperfect data early on.
Throughout my studies, I built a solid foundation in math, statistics, and programming. I completed courses like Calculus, Physics, and Data Analytics for Engineers, where I learned to use Python for data exploration, regression, and clustering (Figure 2).
In Marketing Research and Design Methods, I used R to analyze user data, and in Research Project 3, I applied thematic analysis to interpret qualitative data. These experiences helped me choose appropriate methods to support design decisions.
During my internship as a math teacher, I improved my ability to explain technical concepts clearly (Figure 3). Altogether, these experiences show that I can apply mathematical reasoning, work with data, and use tools like Python and R to communicate insights in a design context.
Figure 1: High school project: measuring growth in plants with different climates
Figure 2: figures I made for Data Analytics
Download my graded assignment for Data analystics for engineers
Download my written code & analysis for the course MRDM here
Figure 3: Assignment made for mathematics teaching
In my Final Bachelor Project
In this project, I applied mathematics and physics to guide critical design decisions. I calculated angles, torque, and gear ratios to determine whether a motor could lift the table, directly influencing the prototype’s dimensions and mechanics. Choosing specific values, like a 15-degree tilt, allowed me to move from guesswork to grounded, testable outcomes. The interdependence of variables made it a surprisingly rewarding design puzzle.
In parallel, I developed code logic for the ESP32 microcontroller. It processed capacitive touch input and communicated with two motor controllers via I²C. My code handled multiple input states, triggered movement sequences like the “wiggle,” . I structured and documented the code clearly for adaptability.
This project helped me see how mechanical logic and software behavior can work in tandem. Math became more than a support tool , it became a design material. I’m excited to integrate this mindset into future projects.