my research 🥼

I'm currently learning about multi-agent interaction within robotics. Specifically, how does machine learning allow us to learn from mistakes and achieve broader task generalization?

Stanford Artificial Intelligence Labratory @ Stanford
(Oct 2023 - Feb 2024): Developing robust imitation learning with mode switching to prevent compounding distributional shifts in evaluation, focusing on human-robot interaction based learning within Prof. Dorsa Sadigh’s lab ILIAD, under PhD Joey Hejna.  
[ upcoming ]

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I've also done some research within computational social science, applying data analysis skills to ensure our political and social systems work effectively.

Center for Democracy, Development and Rule of Law @ Stanford
(Jan - Jun 2023): Analyzed variance of academic results, specifically casual inference in academia-government collaboration, for the 2022 King's County Metro Data Challenge under Prof. Margaret Levi. 
[ slides ]

Internet Observatory @ Stanford
(Summer 2022): Conducted quantitative and qualitative coding of foreign news headlines to determine institutional causality (the involvement of authoritarian regimes like the PRC) under PhD Matt Debutts and Prof. Jennifer Pan. 
[ paper , slides ]

Bay Area News Collective @ Code for San Jose
(Summer 2022): Leveraged geotagged dataset of 6 Bay Area Newsrooms to analyze geographic demographic biases in comprehensive journalistic coverage through d.school process of constituent interviews and data analysis. 
[ slides ]