Career Profile
I am an electronics engineer who graduated from Aalborg University in 2018 with a master’s degree in signal processing. In addition to signal procesing, I have experience in the fields of data science, software development and public outreach.
As a multipotentialite, I am curious by nature and a quick learner with a huge thirst for knowledge, meaning I have always been interested in understanding the world around me and questioned why things are the way they are.
I have a passion for problem-solving, so I love using my palette of skills to think outside the box and come up with alternative ways to improve the way things work or are done.
Experience
Maintaining, testing and deploying Matlab algorithm for production use.
Improving algorithm accuracy by discovering new features of seismocardiographic signal (SCG) using machine learning methods.
Engineering fellow in the TE-MPE-EE section (machine protection and electrical integrity group, electrical engineering section) where I worked on electrical quality assurance (ELQA) of the Large Hadron Collider (LHC) and in particular the High-Luminosity LHC upgrade.
I performed data analysis of frequency response measurements of the main dipole magnets of the LHC, and discovered a method for identifying potential outliers caused by e.g. interturn shorts. This aids in the hardware commissioning, thus reducing down-time of the LHC.
In addition, I developed a Python algorithm for doing parameter estimation of superconducting magnets using PSpice circuit models. The algorithm fetches measurements from the ELQA database and iteratively fits circuit parameters by running Pspice. This aids in doing model verification of LHC superconducting magnet models, thus giving a greater understanding of potential error modes.
Research and development of algorithms for biomedical applications using both digital and statistical signal processing methods as well as machine learning.
Lead embedded device firmware developer: Developing overall software architecture and implementing operating system, periphial drivers, data transmissions, OTA updates and more.
Lead developer of end-user PC acquisition software made using C# (WPF) for handling wireless data streaming.
Gained experience with space engineering, cubesat manufacturing and outreach by building, testing, integrating, documenting and operating the AAUSAT4 and AAUSAT5 satellites, in close collaboration with the European Space Agency (ESA). Currently developing a high-speed software defined radio (SDR).
Implementing over-the-air update features, TCP communication and data acquisition of audio- and ECG signals on embedded ARM MCU. Developing C# interface for wireless data transmission.
Outreach and promotion regarding the opportunities of studying electronics at Aalborg university (AAU), including interviews for Danish media, workshops at Danish high schools and lab-tours at AAU.
Responsible for shelving and organizing books and other materials and finding reserved materials.
Education
Throughout my master’s degree, I have gained experience in the topics of signal modeling, -analysis & -detection, optimization methods, scientific computing and reconfigurable systems such as FPGAs.
- Master Thesis: Non-Invasive Fetal ECG Using Constrained ICA
- Weighted Average Mark: 12.0
Completed courses in statistical signal processing, machine learning, deep learning, speech processing, speech recognition and signal processing for communication systems.
Throughout the bachelor, I have gained theoretical and practical knowledge regarding analog & digital systems, modeling and control, communication systems and signal processing.
- Bachelor Thesis: Communication Link for a Cubesat - an SDR Approach
- Weighted Average Mark: 11.2