I am currently pursuing a PhD in Astroparticle Physics at RWTH Aachen University. My research focuses on data analysis for high-energy photon detection in cosmic phenomena. I have a strong foundation in experimental high-energy physics and big data processing, which I apply using high-performance computing.

Yasaman Najafi Jozani

I am currently pursuing a PhD in Astroparticle Physics at RWTH Aachen University. My research focuses on data analysis for high-energy photon detection in cosmic phenomena. I have a strong foundation in experimental high-energy physics and big data processing, which I apply using high-performance computing.

Available to hire

I am currently pursuing a PhD in Astroparticle Physics at RWTH Aachen University. My research focuses on data analysis for high-energy photon detection in cosmic phenomena. I have a strong foundation in experimental high-energy physics and big data processing, which I apply using high-performance computing.

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Experience Level

Language

English
Fluent
German
Intermediate
Persian
Fluent

Work Experience

PhD Researcher – Data Analysis & HPC at RWTH Aachen University
January 1, 2022 - Present
Conduct high-energy photon data analysis for the AMS-02 experiment onboard the International Space Station. Developed scalable Python pipelines for processing Monte Carlo and real AMS-02 datasets, focusing on photon signal detection, background modeling, and light curve generation. Utilized high-performance computing (HPC) infrastructure for large-scale job scheduling.
Big Data Analyst – KiDS-1000 Survey at University of Bonn
February 1, 2020 - April 1, 2021
Processed 21M galaxy shapes using CosmoSIS and implemented tomographic shear analysis. Handled systematic effect corrections and pipeline validation.
Intern – Radio Signal Analysis at Max Planck Institute for Radio Astronomy
June 1, 2019 - August 1, 2019
Processed high-frequency telescope data and analyzed signal polarization. Wrote Python tools for signal cleaning and visualization.
Data Analyst – Statistical Modeling at Sharif University of Technology
March 1, 2017 - August 1, 2017
Estimated cosmological parameters using CMB, BAO, and supernova data. Applied likelihood-based model fitting using Bayesian statistical methods.

Education

PhD in Astroparticle Physics at RWTH Aachen University
January 1, 2022 - January 7, 2026
MSc in Astrophysics at University of Bonn
October 1, 2018 - April 1, 2021
BSc in Physics at Sharif University of Technology
September 1, 2012 - August 1, 2017

Qualifications

Deep Learning School
August 1, 2023 - January 7, 2026
European School of High-Energy Physics
September 1, 2023 - January 7, 2026

Experience Level

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