Supporting Chair Gensler, the Chief of Staff, and the Director of Policy. Advise on policy at the intersection of securities law and technology (eg. AI, predictive data analytics, cloud). Lead project management initiatives within the Chair's Office.

Specialization in Energy Transition topics, including CCUS, PtX, and H2. Core member of Women@BCG committee, driving progress on flex work initiatives.

Significant strategy and operations experience with healthcare clients, specifically in Global Health. Experience developing strategy and policy advocacy at the intersection of Energy and Climate & Sustainability. Focus on heavy industry abatement, including CCUS and low carbon fuels. Early promotion.

Co-authored research paper with former Chair of CFTC & current SEC Chairman Gary Gensler for MIT Artificial Intelligence Global Future Forum. Focused on the potential effects of widespread AI adoption in the financial sector on financial stability as well as innovative policy interventions.

Participated in and contributed to due diligence studies on early-stage companies seeking funding. Assisted with internal impact metric and measurement development to grade and evaluate potential investments.

Integrated disparate sets of data from senior care facilities to build a Covid-19 outbreak risk prediction model.

Created a predictive model for extrapolating college enrollment trends. Aggregated disparate public sector databases to create a fit for purpose referenceable master database.Conducted data driven social impact analysis on organizations in fields such as early education and recidivism reduction.

Created an automated chatbot for NGOs to use for communicating needs from the field quickly and easily. Worked closely with NGOs in Greece and the United States to understand and manage the critical needs of the site’s users.

Designed peptides for Bcl-2 family specificity and affinity using rational design. Learned how to use BioLuminate and the Rosetta software package. Tested and crystallized the resulting peptides to determine efficacy.As a secondary project, I created a computational pipeline for generating potential D amino acid peptide sequences based off existing high affinity L-amino acid peptides.

Summer intern in Yaffe/Lauffenburger Labs learning the basics of computational modeling of biological systems. Built models to predict the onset of infection in trauma patients based on CyTOF data from blood samples.

Research Internship with Dimitroff Laboratory, Brigham and Women's Hospital, Harvard Medical School. Studied glycosylation changes on surface of B cells during maturation process.