About Me
Hello! I'm an Information Science PhD student in the Bowers College of Computing and Information Science (CIS) at Cornell University. I work in the Future of Learning Lab, where I am advised by Professor Rene Kizilcec. As a Graduate School Dean's Scholar, my research is generously supported by the Bowers CIS Dean's Excellence and Hopper-Dean Fellowship.
My research broadly focuses on educational technology. I create educational tools that shape pedagogical approaches, measure student understanding, and encourage inclusive, enjoyable, and equitable learning environments. Education is crucial for illuminating life pathways, promoting sociocultural awareness, and inspiring innovation. My research in educational technology works to advance these fundamental goals.
Before coming to Cornell, I completed my MS in Computer Science and BS in Mathematics at Stanford University. I was advised by the amazing Chris Piech, Emma Brunskill, and Chris Gregg in computer science, and Christine Taylor in mathematics. I was also kindly supported by the Stanford VPUE STEM Fellowship.
What's New?
- Nov 2024 Gave a talk for the Yale School of Medicine: AI in Medical Education Working Group
- Nov 2024 Facilitated a workshop at DOCS'24 in Atlanta, Georgia, USA 🇺🇸
- Aug 2024 Started my PhD at Cornell! 📚
- Jul 2024 Presented at EDM'24 in Atlanta, Georgia, USA 🇺🇸
- Jun 2024 Graduated from Stanford with a Math BS and CS MS! 🎓
- Mar 2024 Became a CIS Dean's Excellence and Hopper-Dean Fellow
Research
* indicates equal contribution.
Grading and Clustering Student Programs That Produce Probabilistic Output
StochasticGrade is an open-source framework for automatically grading stochastic programs. Compared to standard two-sample hypothesis testing, it offers significant improvements in accuracy, exponential improvements in speed, control over grading error rates, and clustering of student programs by error type. We demonstrate its effectiveness using data from introductory programming assignments and provide practical guidelines for implementation.