Programming & Technical Skills
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Languages: Python, R, C#, LaTeX, Beamer.
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Machine Learning & Deep Learning: TensorFlow, PyTorch, PyTorch Geometric, scikit-learn.
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Scientific Computing: NumPy, SciPy, NetworkX
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Topological Deep Learning Frameworks: TopoModelX, TopoNetX, TopoEmbedX
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Statistical tests: ANOVA, A/B test, Bayesian A/B Testing.
Software Developer
Developer of three transformative Python packages on Topological Deep Learning, focusing
on fast robust deep learning computations for graph generalizations such as hypergraphs, simplicial
complexes, and cellular complexes. Check out the packages on GitHub: https://github.com/pyt-team.
Python package for modeling entities and relationships in higher order networks (meshes, simplicialcomplexes, etc.).
Python package for efficient deep learning models on topological domains (e.g., simplicial and cellcomplexes).
Python package for efficient representation learning on relational systems with topological domains(e.g., social networks, proteins).