I work with Dr. Michael Schnieders in the Department of Biochemistry on methods in computational biophysics. My research focuses on modeling and simulating proteins using computer software and algorithms in order to make initial predictions before moving onto wet lab experiments. My most recent project uses machine learning to predict protein structure from amino acid sequence, which allows us to gain structural insights into proteins that cannot be modeled via experimental methods. After graduation, I hope to complete a Ph.D. and conduct research in computational drug discovery.