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Daniel Tabor is an Assistant Professor in the Department of Chemistry at Texas A&M University. His research group focuses on developing new theoretical tools to accelerate computational materials design. He is involved in simulating and analyzing the spectroscopy of condensed phase interfacial systems and characterizing the structure and dynamics of disordered biophysical systems. His main area of research includes pure methods development and applied projects that often involve collaborations with experimental and computational research groups. Current research activities include integrating reinforcement learning methods with high-performance quantum chemistry to design new organic functional materials, such as singlet-fission materials and organic radical polymer batteries. Tabor is also focused on building new representations of intrinsically disordered proteins and characterizing secondary organic aerosol seed particles. Additionally, he is developing scientific machine learning methods to calculate vibrational and electronic spectroscopy of complicated materials using limited information. He encourages students interested in these research areas to visit his research group website for more information.
Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.