About

đź‘‹ Hello,

I am a Chemistry graduate with a Master’s degree in Physical Chemistry, and currently a PhD student in the Materials Modeling & Design Group at University of Crete, specializing in the application of Machine Learning (ML) techniques to study gas adsorption in porous materials. My research focuses on developing and applying ML algorithms for predicting gas adsorption properties of metal-organic frameworks (MOFs). If you are interested in learning more about machine learning and deep learning, you can take a look at my master thesis . Beyond my research, I enjoy problem-solving, coding and learning new things about computers and Artificial Intelligence. Additionally, I have a deep passion for watches, especially the mechanical ones ❤️.

If the implementation is easy to explain, it may be a good idea.

– Zen of Python

🎓 Education

  • MSc in Physical Chemistry, 2024 University of Crete, Department of Chemistry
    Thesis title: From Potential Energy Surface to Gas Adsorption via Deep Learning
    Description: Developed a deep learning based method for predicting gas adsorption in porous materials.
    Supervisor: Prof. George E. Froudakis
    GPA: 9.86 (Excellent)
    Repository: https://github.com/adosar/master_thesis

  • BSc in Chemistry, 2022 University of Crete, Department of Chemistry
    Thesis title: Screening MOFs for Hydrogen storage via Machine Learning
    Description: Developed a machine learning based method for fast screening of large MOF databases.
    Supervisor: Prof. George E. Froudakis
    GPA: 8.64 (Excellent), graduated in 3.5 years, first of the class

🏅 Scholarships & Awards

đź”® Skills

CategoryName
Operating Systemsfedora ubuntu
Programming Languagespython fortran
Markup Languageslatex markdown
Deep Learning Frameworkspytorch lightning
Librariesnumpy pandas sklearn plotly matplotlib
Other Toolsgit github sphinx vim