Olga Baysal
Associate Professor &
Director for the Institute
for Data Science Carleton University 

Olga Baysal is currently an Associate Professor and Director of the Carleton University Institute for Data Science (CUIDS). During 2020/2022, she was a Graduate Director (Admission and Recruitment) at the School of Computer Science, Carleton University. She received her
MMath and PhD (2014) degrees in Computer Science from the University of Waterloo and completed a short NSERC Postdoctoral Fellowship at the University of Toronto. Her work lies within the field of AI4SE (Artificial Intelligence for Software Engineering) and is focused on applying AI, ML, and NLP techniques to tackle software engineering problems and providing ways to synthesize knowledge from the development artifacts such as reported issues, source code, community contributions, and discussions, etc.) Much of her work focuses on understanding how software engineers create, use, and maintain software systems. She has authored over 30 peer-reviewed publications, including at several top-tier software engineering venues, such as the International Conference on Software Engineering (ICSE), the International Symposium on the Foundations of Software Engineering (FSE), the IEEE Transactions on Software Engineering (TSE), the Springer Journal of Empirical Software Engineering (EMSE), and the IEEE Computer Society’s IEEE Software. She served on numerous program committees including ICSE (Technical, SEET, Posters, Workshops, SRC), FSE (NIER), International Conference on Mining Software Repositories (MSR), International Conference on Software Maintenance and Evolution (ICSME), International Conference on Software Analysis, Evolution and Reengineering (SANER), the IEEE International Conference on Program Comprehension (ICPC) and the International Working Conference on Source Code Analysis & Manipulation (SCAM). She served as a program co-chair of various tracks at SE conferences, including co-chair of the SCAM 2022 Engineering track, co-chair of the ASE 2022 Student Research Competition (SRC), co-chair of the MSR 2020 Data Showcase track, co-chair of Artifacts track for FSE 2018, FSE 2016 and ICSME 2016; co-chair of the ACM Student Research Competition for ICSE 2018, co-chair of Tools Demo track for ICPC 2019, co-chair of Workshops track for SANER 2019, co-chair of NIER/Tool Demo track for the IEEE Working Conference on Software Visualization (VISSOFT) 2017, proceedings co-chair for the International Symposium on Empirical Software Engineering and Measurement (ESEM) 2017, publicity co-chair for SANER 2016, and program chair for MSR 2014 Mining Challenge. She was a co-founder and PC co-chair of the Software Analytics (SWAN) workshop (2015{2018). In her research, she often collaborates with tech companies such as Mozilla, Google, Shopify, and more recently Ericsson to evaluate my research programs to ensure that they effectively address issues of industrial relevance. She established and directed the Software Analytics (SWAN) research group (currently 2 PhD, 7 MCS, and 2 undergraduate students; with 15 graduate and 27 undergraduate alumni).