Ana Trisovic Ana Trisovic 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.


Xiaoli Chen, Sünje Dallmeier-Tiessen, Robin Dasler, Sebastian Feger, Pamfilos Fokianos, Jose Benito Gonzalez, Harri Hirvonsalo, Dinos Kousidis, Artemis Lavasa, Salvatore Mele, Diego Rodriguez Rodriguez, Tibor Šimko, Tim Smith, Ana Trisovic, Anna Trzcinska, Ioannis Tsanaktsidis, Markus Zimmermann, Kyle Cranmer, Lukas Heinrich, Gordon Watts, Michael Hildreth, Lara Lloret Iglesias, Kati Lassila-Perini, and Sebastian Neubert. 2018. “Open is not enough.” Nature Physics. Publisher's Version
Thomas Pasquier, Matthew K. Lau, Ana Trisovic, Emery R. Boose, Ben Couturier, Mercè Crosas, Aaron M. Ellison, Valerie Gibson, Chris R. Jones, and Margo Seltzer. 2017. “If these data could talk.” Nature Scientific Data. Publisher's Version