Aldana Grichener studies the connection between massive binary stars and high energy astrophysical phenomena. She has been working on a broad range of topics, including r-process nucleosynthesis and enrichment, high energy neutrinos, peculiar transients, feedback mechanisms in stellar outflows, common envelope evolution and morphologies of supernova remnants. Aldana uses various numerical methods to tackle astrophysical enigmas. She has been using detailed stellar evolution (e.g., MESA), rapid population synthesis (e.g., COMPAS) and Galactic chemical evolution models (e.g., Kobayashi et al. 2020) in her research. She is currently working on developing a neural-networks-based method aimed at accelerating stellar nucleosynthesis calculations to study the core collapse supernovae explosion mechanism.

Areas of interest: stellar evolution, nuclear astrophysics, transients, multi-messenger astrophysics, high energy phenomena and chemical enrichment