Niloofar Ebrahimi

I’m a statistician and data-driven healthcare enthusiast with a passion for using statistical modeling, machine learning, and quantitative methods to improve clinical research. I hold an M.S. in Mathematical Statistics from Amirkabir University of Technology (AUT) and a B.S. in Applied Statistics from the University of Tehran (UT).

During my graduate studies at AUT, I focused on high-dimensional data analysis and robust regression methods, learning to bridge statistical theory with practical computation in R and Python. Earlier at UT, I worked on predictive modeling projects that showed me how data-driven thinking can translate directly into solving real-world problems, an idea that continues to guide my work today.

Previously, I worked as a Statistician and Data Analyst with the Orchid Pharmaceutical team, where I collaborated with clinical research teams on the design and analysis of large-scale clinical trials. My work focused on building reliable and interpretable models, developing real-time analytics tools, and translating data into insights that supported better decision-making in healthcare and clinical research.

Publications

Teaching

    At AUT:

    I served as a Teaching Assistant for the Linear Models course for graduate students (Spring 2019)
    Department of Mathematics and Computer Science.
    I conducted weekly sessions emphasizing quantitative material and guided students through data analysis using R for statistical computation.

    I led several Workshops in Probability and Statistics for Engineers and Scientists (2018–2020)
    Department of Textile Engineering.
    These workshops introduced core statistical concepts and methods for engineering students.
    always a challenging yet rewarding experience teaching statistics to a non-statistical audience.

    I served as a Workshop Instructor for Data Analysis with R Programming Language (Fall 2019)
    Department of Mathematics and Computer Science.
    A 16-hour (4-week) workshop on data analysis using R for graduate students in Statistics and Mathematics, covering R programming fundamentals, statistical analysis, hypothesis testing, and data visualization.

Contact Info

Email: s.niloufar.ebrahimi@gmail.com
GitHub: NilBrahim
LinkedIn: Nil E.

Skills

  • Statistical Modeling & Inference
  • Machine Learning
  • Clinical Trial Data Analysis
  • Data Visualization & Communication
  • R, Python, and SQL