About me

PhD researcher with experience in AI for chemical sciences. I have worked on diverse projects—from low-complexity ML applied to homogeneous catalysis, to building models and systems from scratch for molecular chemistry, spectroscopy, and materials science.

Additionally, I have experience with molecular simulations and data management from roles at Software for Chemistry and Materials and Stability AI.

Selected Publications

Resume

Education

  1. PhD in Digital Chemistry, Helmholtz Zentrum Berlin

    2023 — Present

    Advisor: Kevin Jablonka

  2. MSc Chemical Engineering, Delft University of Technology

    2021 — 2023

    Advisor: Evgeny Pidko

  3. BSc Chemical Engineering & Biotechnology, Aalborg University

    2018 — 2021

    Advisor: Marco Maschietti

Experience

  1. Data Research Engineer - Part Time, Stability AI

    August 2023 — July 2024

    Contributed to Open Science and ChemNLP by collecting and curating chemistry datasets and performing data research.

  2. Intern in Computational Chemistry and Software Engineering, Software for Chemistry and Materials

    April 2023 — July 2023

    Conducted literature reviews, applied graph theory to chemical problems, and benchmarked internal conformer generation tools.

  3. Teaching Assistant – Part Time, Delft University of Technology

    April 2023 — July 2023

    Restructured a Master-level course on computational, numerical, and data science methods for 140 graduate students.

  4. Teaching Assistant – Part Time, TotalEnergies

    April 2023 — July 2023

    Analyzed and cleaned employee data, built a Microsoft Office pipeline for data streamlining, and provided IT/HR support.

Blog

Coming soon...