I work on developing machine learning methods for safety quantification of CRISPR/Cas9 gene editing in the group of Dr. Minary. We combine ab initio molecular simulation with data science and artificial intelligence algorithms to elucidate dangerous off-target effects in RNA-mediated gene editing. My research is embedded into an interdisciplinary training cohort (DTP), involving constant collaboration and communication with peers across scientific disciplines.
Please do not hesitate to contact me using the email address in the sidebar.
Even though a multitude of off-target cleavage datasets have been published, a comprehensive, transparent overview tool for CRISPR off-target data has not yet been established. Here, we present crisprSQL (http://www.crisprsql.com), an interactive and bioinformatically enhanced collection of CRISPR/Cas9 off-target cleavage studies aimed at enriching the fields of cleavage profiling, gene editing safety analysis and transcriptomics.
These are a few of the projects which I have completed to date, both academic and extracurricular.