I am a passionate software engineer and designer. I graduated from Stanford MS in Computer Science in June 2023. Developing a world-changing AI-powered software is my dream. You are welcome to contact me and start a conversation if you have a similar interest.
I worked with MBAs from the Graduate School of Business and other engineers to develop an AI-enabled storytelling and visualization platform for kids. We have done idea validation, user studies, and the initial MVP.
An application of Graph Convolutional Network (GCN) to detect fraudulent transactions on dynamic Bitcoin transaction graphs.
I explored how the U.S. general public responds to breaking news in COVID-19 pandemic with the BERT model.
I developed an open-source Android Game Platform with my classmates that contains three minigames.
In this fast-paced strategy game, you'll play as one of two opposing teams: the Health E. Elementary School, a champion of healthy eating and good choices, or the SugarCo Company, a big bad corporation that wants to dominate the school food system with sugary snacks and drinks. Download a print and join Sugar Showndown!
A fun interactive fiction about a journey of struggle and hope of a young woman, with multiple possible endings! Written with true feelings and compassion, the story resonated with many female college students.
A storytelling game for everyone aged 8+. Two to four players use random Traits, Motivations, Conflicts, and more to craft a story collaboratively. Players gain familiarity with structuring coherent narratives, understand the crucial elements of a story, and increase their creativity and verbal expression skills.
Design work of an accessible tool for people who are blind or vision-impaired. We created a virtual conferencing reality, where the users can effectively separate audio sources to different spatial positions. This work has been acknowledged by Microsoft Research in a proceeding at the ASSETS research conference.
In Project X ML research competition 2020, I led the UofT team to develop this new architecture of neural ordinary differential equations which learns the dynamics of time-series with multiple predictors, and demonstrated its effectiveness on infectious disease datasets.
I presented this work with my teammate on the UofT AI Conference in January 2021. UofT has multiple news articles about our story:
September 2021 - March 2023
I completed my masters with a focus on Human-Computer Interaction. During my time at Stanford, I had the privilege of taking the Startup Garage class for two quarters at the Graduate School of Business (GSB), which equipped me with essential skills for designing and testing new business concepts to meet real-world needs. Additionally, I was a Course Assistant for four out of the five quarters, which helped me cover the vast majority of tuition and living costs for the program and allowed me to share my knowledge and expertise with other students.
Septermber 2017 - June 2021
I earned my undergraduate degree at the University of Toronto, specializing in Artificial Intelligence and Machine Learning. I was fortunate to conduct research at the prestigious Vector Institute under the mentorship of renowned ML professors Bo Wang and Roger Grosse. In my senior year, one of my research projects utilized neural ODE models to predict plant infectious diseases. This innovative work garnered first place at the global undergraduate ML research competition, Project X.
Septermber 2014 - June 2017
My high school was established in 1929 and is one of the most famous and competitive high schools in the Shaanxi Province of China. Fun fact: During my grades 10 and 11, I persuaded my teachers to allow me not to do any homework so that I could embark on an important self-exploration journey by studying many interesting subjects outside of the curriculum.
Alongside my interests in CS, some of my other interests and hobbies are: