Mahsa Ghaderan is a second-year PhD student at the Max Planck Institute for Informatics and Saarland University, specializing in computational social science and data-driven Internet measurements. With eight years of experience across research, teaching, and industry, she investigates how offline interests shape online behavior using passively collected Internet traffic and brings strengths in edge computing, machine learning, and optimization. Her background includes developing Persian ASR and voice style transfer systems and leading teaching assistant roles in core CS courses, reflecting both applied engineering and strong pedagogical experience. Academically distinguished with top grades at Sharif University and Iran University of Science and Technology, she combines rigorous theory with practical systems work. Outside research she maintains discipline through daily reading, Pilates, and violin, which she credits for sustaining long-term focus and creativity.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Engineering, 18.56/20.0, Bachelor's degree, Computer Engineering, 18.56/20.0 at Iran University of Science and Technology
Mathematics, 19.50, Mathematics, 19.50 at Farzanegan4 School
Master's degree, Computer Engineering, 20.0/20.0, Master's degree, Computer Engineering, 20.0/20.0 at Sharif University of Technology
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Mahsa Ghaderan - PHD Student at Sharif University of Technology