A Future Facing Forward

My career in the AI policy space began in 2020, when I developed and instructed the University of British Columbia's first-ever course on artificial intelligence and its legal implications.  Teaching an undergraduate cohort of students on a curriculum of various technology law topics, we dove into the heart of truly groundbreaking technology subjects including autonomous vehicle personal injury, deepfake-assisted defamation, generative AI-enabled copyright infringements, autonomous weapons systems, unlawful algorithmic bias, and more. Although much of the technology we discussed at the time was nowhere near where it is today, I was able to grow alongside the technology I was studying. Working as a teaching assistant under some of the field’s most eminent AI and computer science researchers, I knew there was a promising future ahead for the field of artificial intelligence. 

I took my knowledge further, working to achieve a master's degree with a specialization in technology policy and AI law from the University of Washington School of Law. At the University of Washington, I served as the lead policy researcher for a project commissioned by the Washington State Department of Transportation to develop accessible and futureproof AI policies for the state’s public driverless car initatives. Working also as an appointed Fellow at the Tech Policy Lab, a Forbes 20 Leading Social Impact Platforms Making A Difference With Digital Potential research organization, much of my work focused on developing research summaries and AI strategy memos for key stakeholders, including Microsoft and the United States Congress.

Shifting afterwards to the technology industry, I worked in-house for a major technology company, where I developed the organization's latest AI governance and safe AI implementation strategies and built out legal terms for safer and more effective data privacy management. 

The heart of my work in AI policy has always been to create a space to meaningfully discuss these complicated technologies in a manner that is accessible and engaging to diverse audiences.

Education

University of British Columbia
Bachelor of Arts, 2020

Majoring in Cognitive Systems and minoring in psychology, my academic upbringing was always oriented toward building highly interdisciplinary foundations in artificial intelligence, bridging the complicated gaps between biological and computational cognitive processes. 

University of Washington School of Law
 Master of Jurisprudence, 2022

At the University of Washington, I dedicated my master’s degree toward specializing in technology law and artificial intelligence policy. Learning from lawyers, technology experts, and academics, I harnessed the exciting intersection between technology and law to gain a deep understanding of how to build more socially responsible technologies. Although technology policy was my primary interest, I also found a deep passion for negotiations, space law, and autonomous vehicle law.

Further Experience

    • Experienced in international data transfers and policy creation for industry-standard data privacy practices.

    • CIPP and AIGP trained.

    • Built Trust & Safety frameworks for a major technology organization.

    • Contributed to negotiations for commercial transactions, including with globally renowned, high-value brands and organizations.

    • Certification in Negotiations and Professional Mediation Skills Training from the University of Washington.

    • Skilled at drafting and developing commercial contracts, including non-disclosure agreements, customer contracts, data processing agreements, and vendor contracts.

    • Experience developing Terms of Service and privacy policies for business organizations.

    • Proficient at building and managing front end and back end of CLM tools.

    • Responsible for producing highly critical legal research on key regulatory matters, including compliance.

    • Proficient at LexisNexis/Westlaw and other legal research tools.

    • Certified in transnational law.

    • English (Fluent)

    • French (Fluent)

    • Danish (Beginner)

    • Coding experience in Python, R.