Emad Izadifar
Skills
Python, LaTeX, Git, Sklearn, PyTorch Geometric, PyTorch, Tensorflow, OGB, TGB, Numpy, Scipy, Pandas, Matplotlib, Networkx, CvxOpt, PULP, PostgreSQL, PySimpleGUI, Microsoft Office (Word, Excel, PowerPoint), Mathematics, Statistics, Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Graph Machine Learning, Dynamic/Temporal Graph Machine Learning, Academic Research, Problem Solving.
About
Master’s student in Computer Science specializing in Artificial Intelligence and Graph Machine Learning, with a strong foundation in Mathematics and Applications, and hands-on experience in dynamic and temporal graph modeling. Proficient in Python, TensorFlow, and PyTorch, with research focused on node affinity prediction and temporal graph analysis. Eager to apply advanced machine learning techniques to real-world, large-scale, data-driven problems.