Summary
Janos Gabler is an economist-turned-AI leader with nine years of experience applying statistics, numerical methods, and machine learning to real-world problems, now heading the TransferLab at appliedAI. He combines a strong academic pedigree (PhD summa cum laude from the University of Bonn) with hands-on software practice, authoring and maintaining the estimagic open-source optimization library and building Python packages for labor economics with JAX. Janos excels at simplifying complex models into pragmatic solutions, teaching advanced software engineering and deep learning to Masters and PhD students while shepherding community handovers of his projects. Outside code, he pursues tangible maker projects—bandsaws, pizza ovens and furniture—hinting at a pragmatic, build-first mindset that informs both his research and engineering leadership.
10 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Development Economics and International Development, Bachelor’s Degree, Development Economics and International Development at University of Bayreuth
PhD, Economics, PhD, Economics at The University of Bonn
Visiting Student, Economics, Visiting Student, Economics at Pontificia Universidad Católica del Perú
German, English, Spanish