Leena Hasan - Zuse School ELIZA

Master’s Student

I am a Master’s student in Computer Science at TU Berlin, focusing on artificial intelligence, with a particular interest in the theoretical and ethical dimensions of AI systems. I completed my Bachelor’s degree in Information Technology Engineering with class distinction under a merit-based scholarship in India, where my thesis on career guidance prediction first introduced me to the real-world impact of machine learning. At TU Berlin, my studies span deep learning, computer vision, and formal programming methods, and I am currently engaged in seminars on Hot Topics in Computer Vision and Machine and Behavior. Outside of academia, I volunteer with Back on Track, working with school-age children in an educational setting. I was recently awarded the Niedersachsen Stipendium in recognition of my academic progress and integration efforts. Through this exchange program, I hope to grow as a researcher and contribute to building AI that is both responsible and meaningful for underrepresented communities.

I am a Master’s student in Computer Science at TU Berlin, focusing on artificial intelligence, with a particular interest in the theoretical and ethical dimensions of AI systems. I completed my Bachelor’s degree in Information Technology Engineering with class distinction under a merit-based scholarship in India, where my thesis on career guidance prediction first introduced me to the real-world impact of machine learning.
At TU Berlin, my studies span deep learning, computer vision, and formal programming methods, and I am currently engaged in seminars on Hot Topics in Computer Vision and Machine and Behavior. Outside of academia, I volunteer with Back on Track, working with school-age children in an educational setting. I was recently awarded the Niedersachsen Stipendium in recognition of my academic progress and integration efforts. Through this exchange program, I hope to grow as a researcher and contribute to building AI that is both responsible and meaningful for underrepresented communities.