• Piloted and guided the development of a data-science-focused peer coaching program which has now provided over 120 hours of support to 40 different members of the MIT life science community

• Hosted one-on-one mentoring sessions for graduate students and post-doctoral researchers applying Python in their research workflows and coursework

• Developed a novel bacterial transcription control method using competing dCas9 species

• Engineered, characterized, and modeled an in vivo, dual-selection system capable of one-pot screening of up to 10^9 constrained peptides, resulting in new insights for cell-based selection methods

• Utilized insights from ODE modeling and NGS data to identify a lead compound with 100-fold increased affinity for SARS-CoV-2 Spike protein from a massively parallel screen

• Created an automated Python-based pipeline for MS/MS data processing in support of a post-doc’s workflow, which has been used for the structural annotation of 30 newly-isolated, modified peptides

• Guided undergraduate students through the development and implementation of independent mammalian synthetic biology projects