Omid Charrakh

I worked on several projects in the chair of Statistical Learning and Data Science: wildlifeML: a computer-vision project for detecting and classifying animals in Bavarian forests; we developed a new python package Teaching assistant in the lecture "Python for ML and Data Science" Coauthoring a paper on deep learning & regression analysis (e.g., time-series analysis, mixture modeling, GLM, GAM, GAMLSS) Topics: computer vision, regression analysis, data science Techniques: TensorFlow, Keras, R

Teaching assistant in seventeen lectures in Physics and Math departments. Examples: Computational Physics, Statistical Physics, Electrodynamics, Advanced Mathematics, and Quantum Information.

Research Assistant for professor Stephan Hartmann at the Munich Center for Mathematical Philosophy (MCMP). Tasks: doing research in Causal Models and Quantum Information.

At the AUT Microwave & Wireless Communication Lab, I worked on a project of simulating thermal noises in High-Frequency electronics devices. Accordingly, I designed a Simulation Model for an amplifier using a noisy MOSFET transistor.

Implementing a Monte Carlo simulation for analyzing the effect of thermal noise on High-Frequency electronic devices.

Designing a line tracking robot and programming an AVR microcontroller.

I designed AI-powered solutions for inferring causal facts from statistical data in the quantum domain: Developing novel algorithms for causal discovery using ML & DL Extensive research on causal Bayesian networks (e.g., potential outcomes, AB testing) Topics: causal modeling, active learning, non-parametric regression, generative modeling, deep learning, simulation, numerical optimization Techniques: Pytorch, Sklearn, Scipy, RayTune, CDT, Networkx, Matplotlib