Team

I’ve had / am having the privilege of (co)supervising the following PhD students, post-docs, scientific programmers and MSc students:

Former team members at TU Delft

Postdocs

• Maliheh Izadi (Jan 2020 - Jan 2022). Machine learning for Software Engineering. Now assistant prof at TU Delft.
• Ayushi Rastogi (Jul 2018 - May 2021), working on developer productivity (also with Arie van Deursen). Now assistant professor at the University of Groningen
• Enrique Larios (Jul 2017 – Jul 2020). Worked on the CodeFeedr project (also with SIG). Now researcher at Adyen
• Moritz Beller (Jan 2018 – May 2020). Worked on software analytics. Now research engineer at Meta.
• Maria Kechagia (May 2017 – May 2019). Worked on static analysis. Now assistant prof at U of Athens.

PhDs

• Elvan Kula (May 2019 - Apr 2025): Software process optimization, also at ING. Now at Schiphol.
• Amir Mir (Oct 2019 – Feb 2025) (w/ Sebastian Proksch): Dependency management and machine learning.
• Joseph Hejderup (Feb 2017 – May 2024): Dependency management and static analysis. Now at Endor Labs.
• Chandra Madilla (Dec 2019 – Dec 2022): Large application scale tools. Now at Meta.
• Moritz Beller (Jan 2014 – Dec 2018): Feedback-driven software development (thesis) (co-promotor, Andy Zaidman main promotor). Now at Meta.
• Mehdi Keshani (May 2019 - Sep 2024) (promotor years 1,2): Dependency management and static analysis.

Scientific Developers

• Wouter Zorgdrager (Feb 2019 - Nov 2021), in the FASTEN project
• Joseph Hejderup (2015 – 2016) on the Pourquoi project.

Visitors

• Maliheh Izadi (Jan 2020 - Jun 2020): Machine learning for Software Engineering
• Xunhui Zhang (Oct 2019 - Oct 2020): Software analytics
• Chushu Gao (Jan 2018 – Jan 2019), worked on software analytics, now at SIG
• Riivo Kikas (Feb 2016 – Jul 2016), worked on language ecosystem evolution

Master’s students

• Alexander Schnapp (Aug 2024): ML Based Detection of Malicious Packages thesis
• Mark Bekooy (Mar 2024): PyHintSearch: Validated Combinatorial Search for Probabilistic Type Inference Models thesis
• Lang Feng (May 2023): Static Analysis Complements Machine Learning: A Type Inference Use Case thesis
• Pradyot Patil (May 2021): Identifying Informative System Metrics: Predicting the predictability of time series using entropy thesis
• Algirdas Jokubauskas (Feb 2019): Investigating dependency code reuse using callgraphs thesis
• Ernst Mulders (Dec 2018): Data Driven Decisions: Validating and Supporting a Continuous Experimentation Development Environment (thesis).
• Elvan Kula (Feb 2018): Releasing fast and slow: a case study of rapid releases at ING (thesis, FSE 2019 paper). Now PhD student at SERG.
• Niels van Kaam (thesis): Epoch alignment in stateful streams.
• Rik Nijessen (2017): A Case for Deep Learning in Mining Software Repositories (thesis). Now at Adyen.
• Herman Banken (2017): Debugging data flows in reactive programs (thesis, RxFiddle, ICSE 2018 paper). Now at Q42.
• Yannic Smeets (2015): Improving the Adoption of Dynamic Web Security Vulnerability Scanners (thesis)
• Erik van der Veen (2014): Automatic prioritization of pull requests (paper, thesis)
• Phil Hunte: Automated data migration based on model coupled transformation (thesis)