Alexander Awad

Currently working as a Research Assistant in the field of Data Science in Chemistry at the RWTH Aachen. Planning the next step of my career as a Data Scientist. I gained practical experience during internships and during my practical-orientated master's thesis. 

RWTH Aachen – Chair of Bioinorganic Chemistry (Since April 2022): Research Assistant: Data Science in Chemistry

• Conduction of quantitative structure-property relationship (QSPR) studies to predict the activity of metal complexes as catalysts with machine learning, using Scikit-learn, XGBoost, and Keras
• Development of a python package for the automatic optimization, training, and evaluation of machine learning models (github: alex-awad/my_ML_tools)
• Investigation of TUCAN strings as a molecular representation and implementation of an API for their conversion into molecular graphs for the training of graph neural networks (GNNs)
  with PyTorch Geometric

RWTH Aachen – Chair of Bioinorganic Chemistry (January 2022 to April 2022): Research Intern: Data Science in homogeneous catalysis

• Implementation of software for the automatic calculation of molecular descriptors of metal complexes and organic molecules with RDKit and Mordred

RWTH Aachen – Chair of Heterogeneous Catalysis and Technical Chemistry in cooperation with ExxonMobil Brussels (July 2021 to October 2021): Research Intern Data Science in heterogeneous catalysis

• Automatization of the calculation of process-relevant values of heterogeneous catalysts
  from experimental data and prediction of these values with machine learning

RWTH Aachen University – Master of Science, Chemistry (2019 to 2022)

RWTH Aachen University – Master of Science, Chemistry (2015 to 2019)