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"For my graduation project, I’m applying deep learning techniques to epigenetic data. Everyone’s DNA has small chemical modifications that don’t affect the DNA sequence but can change with your environment, experiences or health. By comparing this epigenetic data from cancer cells with normal cells, we could potentially find new cancer subtypes, diagnose cancer more quickly and tailor chemotherapy to individual patients.
The Data Science in Engineering track matches my lifelong interest: helping computers do complex tasks faster and more accurate than people could. I’m very active in student life and various associations, enjoying TU/e’s excellent, collaborative atmosphere and interesting opportunities. Although I’m doing a research-heavy graduation project, I’d like a career in industry or perhaps as a technical consultant. Either way, I’d like to keep Data Science at the forefront."