Maryam Meghdadi
PHD Student at Computational Health Center | Helmholtz Munich
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolMaryam Meghdadi is a PhD student and researcher with a decade of experience at the intersection of cognitive science, psychology, language, and AI, currently based at the Helmholtz Institute for Human-Centered AI in Munich. She brings a strong research track record in multimodal learning and cognitive modeling, having contributed to ICML work on mitigating modality collapse in VAEs and integrating large language model insights into ACT-R process models. Her background spans practical ML applications—COVID-19 forecasting and facial expression recognition—to improving interpretability of multimodal models through disentanglement methods during a competitive research internship at Aalto. Maryam blends hands-on experimentation, teaching and mentoring experience with course instruction and community workshops, demonstrating comfort translating complex methods for diverse audiences. Notably, she combines cognitive-theory-driven modeling with contemporary deep-learning tools, positioning her to bridge human-centered theory and scalable AI systems.
9 years of coding experience
4 years of employment as a software developer
High School, Mathematics, High School, Mathematics at Farzanegan Amin High SchoolMaster's degree, Data Science and Artificial Intelligence, Master's degree, Data Science and Artificial Intelligence at Universität des SaarlandesBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Isfahan University of Technology
English, PersianProgramming languages (1)
Github contributions (5)
maryam97/covid-19
May 2020 - Jun 2020
Contributions:160 pushes, 3 branches in 21 days
iut-ai-student-chapter/Machine-Learning-Course
Feb 2019 - May 2019
Contributions:27 commits, 24 pushes in 3 months
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