Michiel Coudyzer

Laboratory for Precision Cancer Medicine

• Synthesized research to gain an understanding of the current state-of-the-art in generative AI.
• Developed proficiency in academic writing and assisted with grant writing applications, seeking funding for research activities within the department.
• Gained experience in analyzing, annotating, and pre-processing gigapixel images.
• Refined coding skills and acquired hands-on experience with implementing cutting-edge generative AI models, using predominantly Python, and to a lesser extent, R.
• Currently spearheading the implementation of a virtual H&E staining pipeline, which could effectuate tremendous reductions in costs and labor.

• Coached students from various disciplines, and with varying degrees of mathematical background, to successfully pass their statistics and probability calculus courses.