Managing a team that develops and deploys state-of-the-art machine learning solutions, making industrial processes more efficient and increasing sustainability and safety. Bridging the gap between customers and engineers to deliver a clear value story backed by AI.Recent Tasks:• Technical lead for the Beacon control optimization product• Coordinating deployments that directly lower HVAC operating costs and resource consumption by 10-20%• Operating mode classification based on remote monitoring system data from diverse industrial equipment via semi-supervised machine learning• Developing new, self-learning algorithms for automated, live anomaly detection and interpretation of root causes• Building scalable, secure, and versatile data management systems for enabling distributed machine learning• Sales pitches and technical deep dives for existing and potential customers• Analytics integration in cloud architecture and live alert systems

• Optimized data sourcing and ETL for crop simulation and agricultural yield analysis by leveraging data science and software engineering.• Reduced data processing workload by implementing and applying data quality software (Scala) for early filtering of problems in farming data.• Automated data ingestion and outlier detection of arbitrary input (Python), facilitating efficient workflow for colleagues.

Projects and Achievements:• Traced the origins of the most energetic cosmic particles via gamma-ray observations from sources in our and other galaxies. • Managed international teams of scientists developing custom software for statistical analysis and multi-parameter modeling, leading to numerous publications.• Performed complex data modeling, for example for gamma-ray spectra or detector performance, using multi-prameter regression and likelihood methods.• Implemented and published time-series algorithms (frequentist and Bayesian) for the detection of gamma-ray variability. • Established first alerts to other observatories about extragalactic flares detected by the HAWC Observatory. • Supervised graduate student developing improved noise suppression for challenging signals via machine learning.• Received frequent invitations to present invited talks about astrophysics and regular participation in and co-organization of international conferences and workshops.Leadership roles in the HAWC Collaboration:• Likelihood Analysis Task Leader• Online Transient Analysis Task Leader• Member of the Publication Committee• Co-lead of the calibration task

• Astrophysics researcher, studying very-high-energy gamma rays with the HAWC Observatory. • Led the design and implementation of the LiFF software (maximum-likelihood, C++) that started as a two-person project and has now been adopted as central analysis framework for the HAWC Collaboration (>100 scientists). • Led laser calibration tasks during HAWC’s commissioning, including software development, hardware installation, and automating operations. • Co-developed open-source Python software framework 3ML for multi-observatory analyses. Contributed to detector R&D for dark matter searches and software work for the Pierre Auger Cosmic Ray Observatory.• Regular presentation of results at international conferences or in seminars.• Gained hardware experience during commissioning and maintenance shifts at the HAWC Observatory and a data-taking shift at the Pierre Auger Observatory.

Astrophysics researcher within the IceCube Collaboration. Developed new methods to search for extraterrestrial neutrinos during the construction and commissioning of a 1-cubic-kilometer neutrino detector in the antarctic ice.During my doctoral research, I supervised undergraduate students and a Master's student. I volunteered regularly for outreach activities such as introducing highschool students to the astrophysical and particle physics research at DESY.