Christoph
Biomedical Engineer | Data EngineerHi I'm
About Me
I am a Biomedical Engineer and Data Engineer passionate about advancing technology and applying data science to real-world problems. I have experience in machine learning, data analysis, and various engineering projects, always aiming to make impactful contributions.
Education
MSc Biomedical Engineering
Imperial College London
2023 - 2024
BEng Mechanical Engineering
University of Birmingham
2020 - 2023
Skills
Languages/Frameworks:
Python, MATLAB, Java, C, SQL, Verilog, CUDA, Git, PyTorch, Pandas, SolidWorks, OpenGL
Areas:
AI, Machine Learning, Data Analytics, Data Science, Deep Learning, Databases, Agile, GitHub, Azure, API, Office, Object-oriented Programming
Experience
Data Engineer Intern
ROSEN | July 2022 - Sept 2022
- • Worked in the world’s leading inspection engineering provider for the energy sector
- • Created a Power BI dashboard for C-suite clients using processed data and GIS
- • Built a data management portal for Data Scientists and Engineers
- • Constructed data and ETL pipelines to automate the flow and analysis of data, saving an engineer up to a month in data processing
- • Incorporated materialized views to boost processing speeds by 40 times
- • Programmed an API for Data Scientists to automate SQL tasks, increasing efficiency
YMB Board Member
Institution of Mechanical Engineers | July 2024 - Present
- • Served on the Young Members Board of the world's largest mechanical engineering institution of 115k members
- • Represented the Safety and Reliability Engineering Division on the board
Projects
Deep Learning for Brain Age Prediction
This project investigates using Graph Neural Networks (GNNs) combined with MRI data to improve brain age prediction.
Toolkit for Electron Spin Resonance
This project involves creating a model to simulate coherence time in quantum computing, using quantum-specific materials that support stable qubit superposition.
Maglev-Based Railway Track Switch
A mathematical model and simulation of a novel Maglev track-switch to enhance stability and efficiency.
AI Breast Cancer Screening System
Developed an AI model using DenseNet, Streamlit, and SQL to classify breast cancer images into BI-RADS categories, achieving over 70% accuracy.
View on GitHubML algorithm for a Brain-machine Interface
Developed a MATLAB algorithm predicting hand position from neural activity, achieving a top-5 RMSE score of 13 in competition.
View on GitHub
