an Amsterdam-based computer scientist, specializing in natural language processing and deep learning. I have a passion for creativity, whether it’s in my work, art, or cooking. With a strong background in innovative problem-solving, I love blending my technical skills with my creative hobbies to develop unique solutions.
At 113 I worked on researching and developing machine learning methods to facilitate suicide prevention research. For this purpose, I used machine learning models for audio transcription (Whisper) and language generation (Llama), to create an automated pipeline for interview transcription, labeling, summarization, and analysis.
2023 - PresentAt CWI I worked on several natural language processing applications on suicide helpline chat data in cooperation with 113 Zelfmoordpreventie. I used shallow as well as deep learning methods to tackle this complex dataset for unsupervised and supervised tasks. I developed methods that provided information to the helpline at the macro level through explainable AI, as well as real-time tools to assist the helpline in their day-to-day tasks.
2019 - 2023At Vialis I worked with the Vialis development team on a traffic management application. I assisted the team with implementing new features as well as resolving current issues. Furthermore, I developed an extendable end-to-end testing suite, including tests for several important use-cases within the environment.
2015 - 2016Technical University Delft - The Netherlands
2016 - 2019Technical University Delft - The Netherlands
2010 - 2016