Si Wu

Welcome to my website!

I am a PhD student in Political Science, and a Graduate Student Fellow at the Hariri Institute for Computing at Boston University. My research interests include American politics, race and class, political behavior, public opinion, media, immigration, and data science.

I received my Bachelor’s Degree in Physics from Imperial College London, U.K., and a Master’s Degree in Journalism from Northeastern University.

During the fall of 2019, I worked as an intern at the Harvard Data Science Review, where I designed and developed data visualization to effectively communicate data science concepts.

During the summer of 2019, I worked for the MGGG Redistricting Lab, where I conducted research in the mathematics of gerrymandering by applying data science to social and political problems. While there, I coauthored "Geometry of Graph Partitions Via Optimal Transport", a paper supervised by Justin Solomon at MIT.

Prior to that, I was a data researcher for Northeastern's School of Journalism. A highlight of my experience there is a Twitter sentiment analysis project - "Democrats 'went low' on Twitter leading up to 2018" - that got published on news publication Roll Call.

At Imperial College London, I conducted various computing, laboratory and research projects collaboratively and solved challenging physics, math and statistical questions. My experience studying and working in the U.K., China and the U.S. has also provided me with a global perspective, a valuable skill in today’s highly-interconnected world.

Outside my work, I like to cook, travel, and practice yoga.

Profile

Geometry of Graph Partitions via Optimal Transport. SIAM Journal on Scientific Computing. (With Tara Abrishami, Nestor Guillen, Parker Rule, Zachary Schutzman, Justin Solomon, and Thomas Weighill.) ArXiv: 1910.09618.

Democrats "went low" on Twitter leading up to 2018. Roll Call. (With Aleszu Bajak.)

Renewable energy is the future. So why are we still stuck in the past? WGBH.

The future of machine learning in journalism. Storybench.

Carlos Scheidegger on why data science needs to be done humanely. Storybench.

Takeaways on being a watchdog reporter from the 2018 Boston Watchdog Workshop. Storybench.

How Florida Today created an augmented reality rocket launch app. Storybench.

A Chinese student's daunting school experience and what we can do about it. Global Observer.

Graduate Student Fellow Hopes to Apply Data Journalism Skills to Study Inequalities

Democrats who won 2018 midterms were more negative than Republicans on Twitter, research finds

Si Wu, Journalism graduate student, uses data to help others understand political redistricting

Curriculum Vitae

欢迎来到我的网站。我叫吴斯,现为波士顿大学政治系一年级博士生。我本科毕业于伦敦帝国理工学院物理系,硕士毕业于东北大学新闻系。跨领域的学习让我的思想更加多元化,我的物理背景也让我对大数据产生了兴趣。

我志在利用大数据去研究美国的种族不平等,公众舆论,移民融合等课题。