NuCypher enables a future free of digital surveillance, in which mainstream applications & platforms offer irrepressible end-to-end encryption (e2ee) to all their users. The NuCypher network is one of the most genuinely decentralized on the planet; owned and operated by thousands of independent service-providers (nodes). Through a combination of breakthrough cryptography and cryptoeconomics, they collectively provide a scalable end-to-end encryption service to developers and their end-users. The network’s market cap (& economic security) is approx. $700 million. I lead product at NuCypher, working closely with management, the core engineering function, application developers and distributed service-providers, to develop and shape the primary service's features and functionality. This includes critical service attributes like pricing, technology compatibility and node reliability/availability. I also work on new products that leverage the NuCypher network and novel cryptography, such as threshold proxy re-signing and fully homomorphic encryption. I conduct data science driven research to develop the network’s economic protocol, which organizes and incentivizes pseudonymous service-providers across the globe. I co-authored the network's primary protocol economics paper alongside CEO MacLane Wilkison and former CTO Michael Egorov, now founder of the DeFi protocol Curve.In September 2020, a permissionless event to distribute+lock collateral saw ~$125 million worth escrowed in the NuCypher network's smart contracts. In 2020 we also managed to get trust-minimizing end-to-end encryption into MOBI's Standards for connected vehicle – a consortium that includes BMW, Ford, Honda, Continental & Denso. In 2021 NuCypher embarked on the world's first ever decentralized merge with the Keep network, bringing together approximately $1bn of capital and creating a new modular network for services based on threshold cryptography - the Threshold Network (threshold.org/)

- As 1 of 8 scholars selected to pitch a policy recommendation to the Small Business Administration, I proposed a technical modification to the application processes of multiple SBA loan types, which would reduce the artificial market power of creditors and minimize the 'land-grab' tactics of locking in prospective borrowers. - Our team co-developed a smart + private reporting channel to improve the collection of antitrust reports from corporate informants, which we successfully demoed to our stakeholder (a federal agency). Our proposed UX/workflow assists the informant in identifying the category of violation and expedites report processing and authentication. The underlying security architecture and privacy design, including the communication channel between agency staff and informants, is entirely open source and publiclyauditable. This reduces the trust burden imposed on the informant, and minimizes the probability of (accidental) deanonymization and consequent industry reprisal. Lowering this risk of engagement with an agency, while concurrently increasing the relevancy of the submission to an antitrust case, is intended to attract 'higher stakes' reports – that is, employees working close to the violation, whose evidence may make or break a case, but who also have the most to lose. The backdrop; addressing anticompetitive behavior is increasingly vital as monopolies loom large, but also increasingly challenging to achieve from the outside as novel technology helps corporates bury anticompetitive behavior in algorithms and opaque, byzantine systems. Making civil participation as easy and safe as possible – i.e. for those truly in the know to flag unfair practices without fear – helps counter-balance this trend.

Factmata is combating the rise of misinformation online via natural language processing and community-driven annotation, backed by Mark Cuban, Biz Stone, Craig Newmark and other prominent investors. Heading development of NLP products, I worked on Factmata's deceptive content detection/prediction, including the acquisition of hate speech datasets (taking into account bias in labelling). I also shaped a key AdTech offering, which included leading a milestone partnership with Sovrn. https://www.sovrn.com/blog/sovrn-starts-working-factmata-help-address-fake-news/

I ran product at SyndicateRoom; responsible for the delivery and success of new platform offerings, with a particular focus on improving analytics and data-driven strategy. I led the development of SR's first user-facing dashboard, which provides secure access to sensitive investment data to tens of thousands of independent investors, family offices and VC funds. I also created the first data bank for post-investment activity between investors and their portfolio companies, generating critical insight for entrepreneurs choosing their primary source of funding and rewarding those who live up to claims of 'smart money'. I worked out of Cambridge and Lisbon, where our business and engineering teams are based respectively.

Talent Rank helps enterprises hire under-represented talent through an accessible training/testing platform: with well-known financial institutions the first to launch a "mobile internship" via the platform. Participants develop critical thinking, communication and interpersonal judgement skills, and the best performers gain otherwise inaccessible career opportunities.

Student Women in Business, Consulting and Finance is a non-profit organisation supporting the career aspirations of young women from all backgrounds, regardless of previous experience or educational advantage.