Shilaan Alzahawi

Shilaan Alzahawi

PhD candidate in Organizational Behavior

Stanford University

About me

I’m a Master student in Statistical Science at Ghent University, a PhD candidate in Organizational Behavior at the Stanford Graduate School of Business, and a Stanford Data Science Scholar. Stanford Data Science Scholars are early-career researchers from all parts of the University who are using and developing data science methods in their research.

I’m interested in Organizational Behavior, with a special interest in Leadership and Managing Groups and Teams. In addition to my substantive work in Organizational Behavior, I’m interested in meta-science and methods. My favorite letter in the alphabet is , and I am weirdly evangelical about it. In my free time, I enjoy deadlifting, hiking, and taking board games much too seriously.

I’m always looking for ways to contribute to large-scale efforts that aim to improve the rigor and reproducibility of (behavioral) science. For example, I’m an Affiliate at the Stanford Data Science Center for Open and Reproducible Science (SDS-CORES); a reproduction and replication analyst with the Center for Open Science DARPA-SCORE project; and an ex-officio member of the Executive Board of SIPS (The Society for the Improvement of Psychological Science). I was also involved as a mentor at the NASA TOPS (Transform to Open Science) Mission, where I led a team of subject-matter experts in developing a curriculum on Open Science Tools and Resources.

Download my CV

Education
  • PhD in Organizational Behavior, Expected 2025

    Stanford University

  • MSc in Statistical Science, Expected 2023

    Ghent University

  • MSc in Business Administration, 2017

    Rotterdam School of Management

  • BSc in Public Administration Science, 2014

    Erasmus School of Social and Behavioral Sciences

  • LLB in Law, 2014

    Erasmus School of Law

Interests
  • Organizational Behavior
  • Leadership
  • Managing Groups and Teams
  • Team and Crowd Science
  • Open Science
  • Statistical Inference