About
Enpu is an amateur pianist and software developer. He watches a lot of films. He attempts to do some art stuff.
Education
Phi Beta Kappa.
Double majored in computer science and music.
Work Experience
Collaborated with Dr. Sharon Wesoky and assisted in translating materials on Buddhist practitioners in China and Chinese feminism.
Side Projects
Senior thesis project.
Building on the understanding that speech has unique sonic signatures, this thesis presents a novel way of using computational strategies to represent musical qualities in languages and social interactions. This project explores the social dynamics and discourse in the current world through the notion of Deep Listening. Relying upon machines, the project extends the ability of human hearing and strives to build empathy and understanding through transforming sounds of human speech into a more tangible musical soundscape.
What Do We Hear When They All Start to Speak? proposes a system that can automatically extract musical elements such as pitch and duration from live human speech to create musical compositions. The project strives to adopt an automated computational strategy to explore musicality in the nature of human speech, to experiment with the existed music concepts, and to draw attention to a long-neglected perspective of the human listening process. The application was used to present a live sound art installation and the source files are fully open-source available.
A curatorial exhibition project for the contemporary art strategy course.
The exhibition attempts to capture the possible tension between an individual and the current Chinese society, where there is a pressure burden by each person from the thousand-year history and the media image of prosperity. Curating artworks from contemporary Chinese artists, the exhibition explores the concept where individuals being neglected and overshadowed by the prevailing theme of massiveness.
A research project for Bureaucratic Politics course.
An essential problem of representative democracy is to ensure that the policy decisions reflect the interests of the citizens. Congress, as the elected representative of the public, not only bears the burden to legislate, but also to effectively monitor and structure the agencies so as to ensure its legislative outcome. Inevitably, members of Congress are confronted with the tradeoff of giving sufficient freedom so that agencies’ expertise can be best utilized upon, while at the same time not losing control over the administrative outcome. This gives rise to the topic discussed in this article: congressional oversight hearings.
This research sets out to investigate and answer the following question: comparing to the cases of divided government (with unified congress) and unified government, what is the behavior of congressional oversight activities under split control of Congress?
Project for cryptocurrency course.
A proof-of-concept for a blockchain-based, decentralized news platform that integrates third-party fact-checkers and crowdsourced community evaluations. Contents are distributedly stored, where each block contains news articles with evaluations from third parties (e.g. Google Fact Checking API) and users. Presented with the distributions of user evaluation, the project invites the community to establish trust and consensus among peers.
A Python tool that systematically runs a doubling experiment to ascertain the likely worst-case order-of-growth function for an arbitrary Python function.
A visualized text mining and analysis tool for student markdown reflection documents based on Natural language processing in the Dept of CS at Allegheny College.
Exhibitions
The Montecito International Music Festival is a summer music festival intended for highly gifted string, piano, wind, and voice students.
Speaking
Faced with the challenge of understanding the performance of a Python function as its inputs grow bigger, we present a tool called TaDa that automatically conducts an experiment and determines the likely "order of growth" for a Python function. The talk introduces ways to evaluate the performance of Python functions that could run in AWS Lambda, the methodology could also translate to other languages and cloud computing platforms.
Awards
Outstanding achievement in computer science in scholastic performance and contributions to the life of the department.
From 2018 to 2021, academic honor for maintaining a 3.80 or higher grade point average for the year.
Music Department's annual award to a senior student who shows marked musical ability, talent, or direction in voice, piano, or organ.
Awarded for exceptional academic achievement, performance in the seminar, and contribution to the general life of the department.
A fellowship supporting collaborative research project with a faculty at Allegheny College.
A Mu Phi Epsilon Alumnae fund awarded to an outstanding piano or organ student.
Annual award from the Department of Music to an outstanding piano student.
Volunteering
Founded the first music club on campus, dedicated to establishing inter-disciplinary art culture and providing a platform for non-musicians to create music using Ableton, Max/Msp, Processing;
Springboarded the first electronic music event on campus with hundreds of students