Phoebe T. Wong

Data Scientist & Economist

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Welcome to my website!

I'm currently Vice President, Data Science at Minerva CQ. I lead a team of speech and language processing experts to build real-time conversational AI solutions that enable contact-center agents to resolve customer problems more efficiently.

I was recently Director, Data Science at EY-Parthenon, where I completed a NASA SBIR Phase II contract to develop real-time geomagnetically induced currents forecasting capabilities with Deep Learning techniques, which aimed to mitigate risks that extreme geomagnetic storms posed to electric power systems. In Oct 2022, I gave a talk on this project at the EPRI AI & Electric Power Summit (my presentation is posted here).

Previously, I was Senior Director of Data Science & Analytics at the Voter Participation Center. I developed and managed data science and analytics projects to optimize the results of VPC's large-scale voter registration and turnout programs, with the goal of increasing civic participation of historically underrepresented groups in the U.S. In the 2020 cycle, VPC's programs sent out 360 million pieces of direct mail, which generated 1.6 million voter registrations and close to 5 million vote-by-mail applications in battleground states.

From 2017 to 2019, I built and ran a nonprofit called Equal Citizens with Prof. Lawrence Lessig at Harvard Law School. Equal Citizens advances democracy reform in the U.S. through a variety of projects, including election reform litigations, grassroot mobilization, and education campaigns. In July 2020, Supreme Court ruled on the "faithless electors" case filed by Equal Citizens, and another case challenging the constitutionality of Super PACs is making its way to the Court.

Before that, I was Senior Economist at the Joint Economic Committee of the US Congress, where I advised Members of Congress and staffers on macroeconomic, fiscal, and monetary policy issues.

And before that, I was consulting at the World Bank, where I contributed to macro, fiscal, and economic development policy research in the Europe and Central Asia and Latin America regions.

I'm passionate about building products with state-of-the-art AI techniques to improve decision making and create value for end users. To those ends, I try to publish blog posts on data science topics as often as I can. You can find my latest work here.

I received the AWS Solutions Architect - Associate Certification in Jan, 2024. In 2021, I completed the Stanford Professional Certificate in Artificial Intelligence, focusing on Natural Language Processing with Deep Learning.

Any views expressed here are my own and do not represent the views of my past or current employers.

Please feel free to contact me via LinkedIn or Medium.