Summary
Faezeh Sarlakifar is an AI researcher and engineer with four years of experience applying deep learning to bioinformatics, NLP, and computational neuroscience. Currently completing an MSc in Artificial Intelligence at the University of Bologna, she has combined hands-on research—developing emotion recognition with XLM-RoBERTa and BiGRU—with practical data analysis work at Neuromatch to translate survey data into actionable course improvements. Her background as a multiple-course teaching assistant reflects strong communication and mentorship skills across machine learning, robotics, and reinforcement learning. Notably, she has experience modeling human perceptual decision-making using drift diffusion models, highlighting an interdisciplinary bent that bridges theory and applied methods. Passionate about health-focused AI, she is building toward impactful contributions at the intersection of deep learning and bio-computing.
4 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Alma Mater Studiorum – Università di Bologna
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Shahid Beheshti University
High School Diploma, Mathematics-Physics, High School Diploma, Mathematics-Physics at National Organization for Development of Exceptional Talents (Sampad)