Limited Spots Available – Enroll Now to Secure Your Place!
Euxhen Hasanaj is a research scientist specializing in the intersection of machine learning and biotechnology. With a strong academic and professional background, his work focuses on cutting-edge applications of AI in areas such as cellular senescence, drug discovery, graph learning, generative models, and biological foundation models. His research on aging leverages machine learning to identify novel biomarkers and pathways of senescence, aiming to reshape how we understand and intervene in biological decline.
Euxhen holds a PhD in Machine Learning from Carnegie Mellon University, where his dissertation explored the integration of machine learning with biomarker discovery. He also earned a Master’s in Machine Learning from CMU and a Bachelor's degree in Computer Science and Mathematics from the American University in Bulgaria.
Prior to his current role, Euxhen contributed to drug discovery initiatives at Sanofi and Genesis Therapeutics, applying advanced ML techniques to accelerate the development of next-generation therapeutics. His work continues to push the boundaries of AI in life sciences, combining deep theoretical knowledge with impactful real-world applications.
