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I am a postdoctoral researcher in the Molecular Materials Group at Argonne National Laboratory. My research background is in the development of data pipelines for the discovery of advanced materials in energy applications. I am experienced in the building pipelines covering 1) data curation/generation using HPC sytems, APIs and web crawling techniques, 2) data cleaning & feature engineering using open-source python packages, 3) machine learning model development and validation (ensemble regression, neural networks) for accelerated high-throughput materials discovery and 4) creating interactive apps/dashboards for data visualization. During my doctoral and post-doctoral research, I have worked in several emerging energy technologies including solid-state batteries, hyrogen energy etc.

My previous research experience includes experimental analysis of the structural, chemical and electronic properties of epitaxial 2-dimentional films, such as MoSe_2-xTe₂ and WSe₂. Particularly, I have employed diffraction and spectroscopic methods to investigate their atomic structure.