Independent Mechanism Analysis: Context and Methods
A presentation connecting blind source separation, nonlinear ICA (Independent Component Analysis in signal processing), identifiability, and the principle of independent causal mechanisms.
Hi, I’m Shashank, a student of Physics, with a record of working across interdisciplinary complex and computational systems
I am activley looking for roles in Data Science, IT Operations, Signals and Systems Engineering. My core competencie lies in leveraging computational methods towards solving complex problems including in domains like IT systems monitoring, testing and operational managment
archive / selected work
A curated list of older and current material.
A presentation connecting blind source separation, nonlinear ICA (Independent Component Analysis in signal processing), identifiability, and the principle of independent causal mechanisms.
Notes and presentation material on coexistence of coherent and incoherent behavior in networks of coupled oscillators.
Bachelor’s thesis material on active particle systems and how noise changes computational behavior in reservoir-like settings.
An archived report from scientific computing coursework.
These are older lab reports kept as an archive. They belong on a portfolio because they show the slow craft: measurement, uncertainty, instrument quirks, and careful plots.
A compact sketch on neural codes, representation, compression, causality, and why “information” is only useful when tied to a task.
An essay on perturbation, task-relative truth, compressed representations, universality, and how new objectives reshape memory.