. Submitted. “A large-scale study on research code quality and execution.” ArXiv/CoRR. Publisher's Version
Ana Trisovic (Ana Trišović; pronounced: aa-na trEE-sho-viCH; listen) is a Sloan postdoctoral fellow at IQSS. She is a member of the early-career board of Harvard Data Science Review (HDSR) and the review board in data science and reproducibility of the Journal of Systems Research (JSys). Her research focus is on computational reproducibility, data provenance and open science. She investigates how data repositories can facilitate reproducibility and what are the most common causes of research irreproducibility in deposited research. In these projects, she collaborates with Mercè Crosas and the Dataverse team.
Previously, she was a postdoctoral fellow at the University of Chicago, where she worked with the Energy Policy Institute (EPIC) and the Library. She completed her PhD at the University of Cambridge in 2018 on the topic of "Data preservation and reproducibility at the LHCb experiment at CERN". While at CERN, she worked with the LHCb collaboration, CERN Open Data and CERN Analysis Preservation groups. During her PhD, she was a scholar of the Muir Wood studentship of the Newnham College, CERN doctoral student program and Google Anita Borg Memorial Scholarship.