I'm Sum Qezlou, (I go by Mahdi Qezlou on papersHow to pronounce my name ). With a background in Astrophysics, Data Science, and Machine Learning, I currently serve as a postdoctoral fellow at the University of Texas at Austin, contributing to the groundbreaking HETDEX observational survey.

Recently awarded my PhD from the University of California, Riverside, I conducted research as a graduate researcher fellow at the Carnegie Observatories.

My work focuses on utilizing cutting-edge cosmological simulations and Machine Learning methodologies to model various aspects of the universe, including the distribution of galaxies, their emissions, and the intergalactic gas (known as the Lyman-alpha Forest). I actively participate in collaborations such as PRIYA simulation and LATIS observational projects.

Feel free to explore summaries of my research projects below or visit my Github accountGitHub for the open-source codes and data products I have developed.

Feel free to contact me via : mahdi.qezlou@email.ucr.edu

In this work, we study how 3D large-scale structure observed in Ly-alpha tomographies (e.g. LATIS collaboration) can help to improve the S/N detection of upcoming molecular line intensity maps (e.g COMAP collaboration ) or to remove interloper signals contaminating the End Of Reionization explorations (e.g. TIME collaboration )

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