Research Lead

Mohammed Aburidi

Postdoctoral Research Fellow in Prof. Yang Zhang’s group at the National University of Singapore
Research interests:

• AI-driven drug discovery and drug delivery
• Lipid nanoparticles for RNA and nucleic acid therapeutics
• Generative AI and molecular representation learning
• Molecular dynamics simulations and physics-informed machine learning
• Graph and geometric machine learning
• Convex and non-convex optimization

Technical Skills:

• Programming Languages: Python, JavaScript, C/C++, MATLAB, R, SQL, Bash, LaTeX
• Web Development: HTTP, Html, CSS, php
• Machine Learning Frameworks: PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NetworkX.
• Molecular Modeling: Molecular dynamics simulations, molecular representations, and AI-driven molecular design.
• Frontend Development: React.js, Next.js.
• DevOps and Containerization: Docker, Kubernetes.
• Web Mapping: Mapbox.
• Mobile App Development: Swift (iOS Development).
• Backend and Database Technologies: Firebase, MongoDB, Mysql.
• Version Contro: Git, GitHub.
• Cloud Computing: AWS, Google Cloud Platform (GCP).
• Cyberinfrastructure/Supercomputers: Cori: NERSC [3 intensive months], Perlmutter-NERSC [3 intensive months], Pinnacles cluster-UCM [2021-present], Palmetto cluster - Clemson [8 months].
• Tools:Jupyter Notebooks, Mathematica Notebooks, Visual Studio Code, MATLAB, Microsoft Office.
• Scientific Computing: FreeFem++, ParaView.
• Operating Systems: Linux, Windows, MacOS.

Email: maburidi@gmail.com