Marzieh Saeedimasine
Staff scientist at Department of Information Technology; Uppsala Multidisciplinary Centre for Advanced Computational Science
- Mobile phone:
- +46 72 999 94 36
- E-mail:
- marzieh.saeedimasine@uppmax.uu.se
- Visiting address:
- Hus 10, Regementsvägen 10
- Postal address:
- Box 524
751 20 UPPSALA
Short presentation
I work with Mimer AI Factory to provide resources for the training, implementation, and delivery of advanced AI models.
Biography
Multiscale computational modeling with strong academic experience, including quantum mechanical calculations and molecular dynamics simulations.
Skilled in end-to-end machine learning workflows, covering data collection, ETL pipelines, exploratory data analysis, model development, evaluation, and deployment.
Hands-on experience with advanced machine learning methods, including deep learning, time-series modeling, natural language processing (NLP), large language models (LLMs), and retrieval-augmented generation (RAG).
