Hi, I'm Miranda ₊ ⊹ ⟡
Course Admin, Director of Head TAs, Developer... and more!
March 2020 → May 2020, March 2021 → Present
Code in Place is a free, human-centered offering of the first half of CS106A, Stanford's intro Python course, which has served around 30k students worldwide. Please 'See more', as I've done a lot of work for this course!
September 2020 → December 2020
Trained a GAN to generate realistic-looking but meaningless newspaper images as an artistic work intended to invoke a sense of simultaneous familiarity and foreignness, and made a physical zine.
ML Research and Development
January 2021 → March 2021
Employed deep learning methods to build voice conversion / anonymization pipeline for protection of at-risk subjects in documentary films
Learning designer
June 2022 → September 2023
Designed lesson plans for game-based learning and professional development resources for public school teachers at Title 1 elementary schools in LA County, serving 300+ teachers at 24+ partner schools, reaching 8,000+ students. Developed teacher training curriculum to support teachers in teaching CS without prior CS experience.
Contributor
March 2023 → June 2023
Authored 27 page report (available on request) on the impact of generative AI on education for Stanford Law School Policy Lab on Governance and Regulation of Emerging Technologies. The report will be synthesized with other reports to inform policy recommendations regarding generative AI.
AI Research and Development
March 2021 → August 2021
Used text generation models in novel pipeline for poetry generation which incorporates human feedback, in collaboration with poets Dazié Grego and Alok Vaid-Menon
Section Leader
Winter 2020 → Winter 2021
Led Stanford students in weekly discussion sections for Stanford’s Programming Methodologies course; worked closely with faculty to ensure course accessibility for visually impaired students; wrote a tool to support student learning of image processing techniques.
Machine Learning Intern
June 2021 → September 2021
Aided in upcoming redesign of Artbreeder, an in-browser GAN application, by producing machine learning pipeline for visualizing and summarizing latent space of trained image models
Software Engineering Intern
June 2020 → August 2020
Built, trained, and tuned models to predict the intuitive newsworthiness of event clusters and tips, using non-text and text features extracted from event cluster / tip metadata; built web service to integrate newsworthiness models into pipeline and deployed both models into production to streamline content management system for more efficient, unbiased story selection; created responsible data visualizations for an editorial project on COVID-19 statistics