Michael graduated with a Master’s degree in Information Systems (Data Science track) from Binghamton University, where he received the Academic Excellence Award. His research experience spans artificial intelligence, medical imaging, and ethical AI applications. His master’s thesis focused on detecting copyright infringements in large language models, and he has previously explored 3D medical image generation for rare brain tumor cases using diffusion models.

In 2025, Michael joined the University of Amsterdam as a PhD candidate under the supervision of Dr. Clarisa Sánchez within the Lifelong Vision project (Platform B). His research focuses on developing explainable and causal AI frameworks for disease signature discovery and patient profiling in ophthalmology. By integrating deep learning with multimodal retinal imaging, his work aims to build transparent, trustworthy, and clinically interpretable models that contribute to Lifelong Vision’s mission of enabling lifelong sight through personalized and accessible therapeutic innovations.