Research Lead

Mohammed Aburidi

Software Engineer at UCM and CEO at LioTech Solutions
Research interests:

• Machine learning for hydrology
• Water managment simulation optimization modeling
• Geometric machine and deep learning
• Optimization methods applied to small molecules and drugs
• 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.
• 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.

Email1: maburidi@ucmerced.edu
Email2: maburidi@gmail.com