Teaching, Courses and Lecture Notes

An Introduction to Algorithms for Data Science

• based on courses of 2018-2021
• topics included: Optimization Algorithms, 3D Reconstruction from 2D Images, High-dimensional Statistical Problems, Bayesian Inference, Fast Fourier Transform, Randomized/Approximated Computing, Differencing for Partial Differential Equations, Quantum Algorithms
• two short lecture notes 1 and 2

Seminar on Many-body Physics and Linear Response Theories

• basis of Green’s function theories and linear response
• first six lectures of the note