Education

FORMAL EDUCATION

2023 – PhD in Network Science at the Central European University in Budapest, Department of Network and Data Science.

2014 – PhD in Psychology, at the Faculty of Social Sciences and Humanities, University of Zagreb, Department of Psychology.

2007 – MA/BA in Psychology, at the Faculty of Social Sciences and Humanities, University of Zagreb, Department of Psychology.

CONTINUING EDUCATION/ TRAINING/ workshops

2018 – Psychological Networks Winter School. University of Amsterdam.

2017 – Advanced RSiena and Relational Event Models course and workshop.Centre for Social Sciences, Hungarian Academy of Sciences, Budapest. Lecturers: Timon Elmer, Zsófia Boda, Christoph Stadtfeld (ETH Zürich), James Hollway (University of Geneva).

2017 – Research questions, competing explanations, and network configurations: A practical guide to theorizing about network processes. Sunbelt Conference INSNA, Lecturer: Andras Voros.

2017 – Algebraic analysis and visualization of multiple, signed, and two-mode networks with ‘multilex’ and ‘multigraph’. Sunbelt Conference INSNA, Lecturer: Antonio Rivero Ostoic.

2016 – Data Science Bootcamp: Machine learning in Python. StreamBright & Mosaik Academy, Budapest. Lecturers: Szukacs Istvan, Adam Jermann, Mariah Walton.

2016 – Complex networks: theory, methods and applications II. Summer school. Lake Como School of Advanced Studies, Lecturers: Ernesto Estrada, Marc Barthelemy, Alain Barrat, Mason Porter, Tiago P. Peixoto, Esteban Moro, Marcus Kaiser, Javier M. Buldu.

2016 – Agent-based Models in Social Network Analysis Using Netlogo. Sunbelt Conference INSNA, Lecturers: Wouter Vermeer, Arthur Hjorth.

2016 – EgoWeb 2.0: Flexible Social Network Data Collection Software. Sunbelt Conference INSNA, Lecturers: David Kennedy, Marie Kennedy.

2016 – Multilevel Modeling for Egocentric Network Analysis. Sunbelt Conference INSNA, Lecturer: Brea L. Perry.

2016 – Social Network Approaches for Behavior Change. Sunbelt Conference INSNA, Lecturer: Thomas W. Valente.

2016 – SIENA – Longitudinal analysis of social networks. Winter School. ETH Zurich, Switzerland, Chair of Social Networks, Lecturers: Per Block, Zsofia Boda, Christoph Stadtfeld and Tom Snijders.

2015 – Social network analysis: Theory, method and application: Network Fundamentals, Key concepts and descriptive SNA, Introduction to ERGM, ERGM extensions. Swinburne University (Melbourne, Australia), 3-days course. Lecturers: Peng Wang, Dean Lusher, Garry Robins, and Julia Brennecke.

2015 – Introduction to R. University of Zagreb, Department of Psychology. Lecturer: Blaž Rebernjak.

2015 – Writing effective research manuscripts and writing research proposal for grants. University of Zagreb, UMNA, Lecturer: A. Chapin Rodríguez.

2014 – The Data Scientist’s Toolbox. Coursera.org, on-line course. Statement of Accomplishment with Distinction. Lecturers: Jeffrey Leek, Roger D. Peng, Brian Caffo.

2013 – Social Network Analysis.Coursera.org, on-line course. Statement of Accomplishment. Lecturer: Lada Adamić.

SOFTWARE SKILLS

Actively working in: Python (Networkx, Pandas, etc.), R (including packages related with network analysis: qgraph, statnet, R-siena), Gephi, (M)PNet, Visone, UCINET/NetDraw, SPSS.

Beginner in: NodeXL, Pajek, R packages for text/conversational analysis, NetLogo, AMOS, etc.