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I am Payam Kelich, an experienced Python Developer with a strong background in Linux, and a specialization in Molecular Dynamic simulations, and Machine Learning. As a PhD candidate, I have conducted significant research in areas such as molecular dynamics simulations, machine learning, and automated molecular docking techniques. My work has contributed to drug discovery advancements and provided valuable insights in virology, computational biology, and nanobiotechnology. I have developed tools like BinderSpace and Linux bash scripts to streamline molecular research. Currently, I am engaged in projects focused on cheminformatics and time series forecasting to drive advancements in pharmaceutical research and predict molecular dynamic properties.
I recently graduated with my PhD from the University of Texas at El Paso, where I was under the supervision of Dr. Lela Vukovic from the Department of Chemistry and Biochemistry. Having successfully defended my thesis in December 2023, I am now embarking on a new chapter as a Postdoctoral Research Associate at the Beckman Institute, working in Dr. Emad Tajkhorshid's group.