Jailia Yang's Website

about Hello and welcome to my website! My name is Jailia (pronounced juh-LAY-uh),
and I'm super excited to have you here!

I am a third-year undergraduate student at Stanford Universiy majoring in Computer Science
with a concentration in Human-Computer Interaction and a minor in Ethics and Technology.
I am passionate about technology and its growing use in our digitizing world. Throughout my
career, I hope to answer questions like how can we implement equitable algorithms? how does
technology affect groups differently? and where do we draw the line with technological solutionism?

I am also deeply interested in Asian American studies and Feminist, Gender, and Sexuality studies,
as well as community organizing and advocating for marginalized and underrepresented groups. I look
forward to further exploring these areas of interest and their intersections with technology.

experiences

Siemens
(June 2023–September 2023)

During my time as a Technical Research Assistant at the Stanford Internet Observatory, I actively participated in research efforts aimed at the Journal of Online Trust and Safety by writing multiple Python and command line scripts. A significant highlight of my role involved pushing the boundaries of election misinformation research. This entailed creating a Python command line script capable of efficiently scraping content from over 50 Telegram channels. This initiative not only contributed to fostering greater awareness about election-related issues and propagandistic materials but also showcased my dedication to educational endeavors.

RSM US LLP
(June 2022–August 2022) During my internship with Siemens on the Energy Management Software (EMS) team, I contributed significantly to the optimization of operational workflows. One of my key achievements was successfully transitioning a Python interface to PL/SQL scripts, resulting in a seamless process that greatly improved task efficiency and execution. In addition, I played a pioneering role in a transformative business project that involved the development of a PL/SQL package. This package was instrumental in enabling flexible migration of internal model schemas, ultimately enhancing our data management capabilities to a new level.

My dedication and skills were recognized when I secured first place in an intern programming challenge among my business unit. As a proficient Python developer, I skillfully utilized various libraries, including Streamlit, to craft a sophisticated data visualization-driven application. The application was designed for predictive generation forecasting, showcasing my ability to deliver innovative solutions in a professional and timely manner.

Stanford Internet Observatory
(January 2023–June 2023)

As I interned alongside the National Cyber Incident Response Team (CIRT) at RSM US LLP, I played a pivotal role in bolstering cybersecurity response capabilities. One of my key contributions involved streamlining and enhancing threat intelligence workflows. I harnessed the power of Docanno to meticulously annotate an extensive collection of over 12,000 MITRE ATT&CK tactics and techniques. Leveraging my skills in scripting and data analysis, I successfully consolidated this vast dataset onto a unified platform.

Additionally, I undertook the ambitious task of creating a quantitative risk index with a global scope. By analyzing over 100 countries using well-defined criteria, I initiated the foundation of this index. To gather the necessary data, I employed web scraping techniques and thoroughly examined over 15 websites. The culmination of these efforts resulted in the development of a dynamic data visualization tool, effectively displaying risk ratings and outcomes. This comprehensive approach allowed for a more informed understanding of risk landscapes, providing valuable insights for strategic decision-making.