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My research develops AI systems that autonomously perform complex problem-solving tasks in software engineering and beyond. My multidisciplinary background includes postdoctoral research on Graph Neural Networks, petabyte-scale data analysis in experimental high energy physics, and dual degrees in mathematics and physics.

Professional Experience

Feb 2024 โ€“ present
Research Software Engineer II
Princeton University, Princeton Language & Intelligence Initiative
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Adviser: Karthik Narasimhan
  • Agentic AI for Software Engineering: lead developer of SWE-agent since Mar 2024; repeatedly achieved SotA on SWE-bench; refactored and built around SWE-ReX for 10x execution time speedup and cloud capabilities
  • Contributed to achieving SotA on various cybersecurity benchmarks (SWE-agent EnIGMA), and open-weight SotA on SWE-bench by large-scale generation of agent trajectories for synthetic issues (SWE-smith)
July 2022 โ€“ Jan 2024
Associate Research Scholar / Postdoctoral Research Associate
Princeton University, Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP)
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Adviser: Peter Elmer
  • Machine learning for high-throughput algorithms in High Energy Physics
  • Learned-clustering with graph neural networks and transformers (more information)

Leadership & Service

2020, 2023 โ€“ 2024
Group Convener
HEP Software Foundation Training Working Group (HSF Training)
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2020 โ€“ 2022
Group Convener
Belle II Software Training & Documentation Working Group
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Education

Oct 2018 โ€“ May 2022
Ph.D. in Experimental High Energy Physics
Ludwig Maximilian University of Munich (LMU)
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Adviser: Thomas Kuhr
Thesis: Calibration of Machine Learning-based Hadronic Tagging in Preparation for a |Vcb| Measurement and Clustering of Kinematic Distributions
Graduated Summa Cum Laude
  • Calibration & debiasing of machine learning algorithms for the reconstruction of particle decays (more information)
  • Cluster analyses of kinematic distributions of particle decays (more information)
  • Part of the Belle II Software Team; responsible for software performance testing
Oct 2014 โ€“ Sep 2018
Master of Science in Theoretical & Mathematical Physics
Elite master program at Ludwig Maximilian University of Munich (LMU) and Technical University of Munich (TUM)
Thesis: Construction of Angular Observables Sensitive to New Physics in Bฬ„โ†’D*ฯ„โปฮฝฬ„ฯ„ Decays and Measurements of Differential Cross Sections of Bฬ„โ†’D*โ„“โปฮฝฬ„โ„“ Decays with Hadronic Tagging at Belle (more information)
Oct 2011 โ€“ Sep 2015
Bachelor of Science in Physics
Ludwig Maximilian University of Munich (LMU)
Thesis: Truth-Level Based Estimation of the Sensitivity to Phenomenological Minimal Supersymmetric Standard Models in Events With One Hard Lepton (more information)
Oct 2011 โ€“ Aug 2014
Bachelor of Science in Mathematics
Ludwig Maximilian University of Munich (LMU)
Thesis: Elliptic Functions
Graduated top of my class

Research Stays

Dec 2017 โ€“ Feb 2018
Research Stay
University of Tokyo
Project: Construction of Angular Observables Sensitive to New Physics in Bฬ„โ†’D*ฯ„โปฮฝฬ„ฯ„ Decays (more information)
Jul 2017 โ€“ Sep 2017
Research Summer Program
Tokyo Institute of Technology (TITECH)
Project: Complex Organic Molecules in Protoplanetary Disks
Sep 2015 โ€“ Sep 2016
Exchange Year
Nagoya University
Jul 2015 โ€“ Sep 2015
Summer Student
CERN
Project: Data Acquisition Performance Analysis for the LHCb group

Languages

German
Native
English
Near native (C2), TOEFL iBT: 115/120 (Nov 2014)
Japanese
Upper-intermediate (B2/C1), JLPT N2 (Jul 2016)
French
Intermediate (B2)

Personal Details

Nationality
German
Date of birth
March 1993