Lillian Jiang

UC Berkeley student studying Computer Science and Business Administration

AI Question Generation for Teachers Without Borders

January 2023 - May 2023

  • Developed engaging and curriculum-aligned math and English questions for the Literacy Now App by Teachers Without Borders, geared towards elementary students in India
  • Leveraged Chat-GPT and AI Safety principles like interpretability and zero-shot learning, to create top-quality, unbiased questions
  • Created a comprehensive guide for TWB to customize their own questions, streamlining the question creation process and maximizing educational impact
  • Language: Python
  • Github

Examining Inequities in Nature Based Solutions

September 2022 - November 2022

  • Worked with 3 other analysts from Data Science Society to examine inequities in Nature Based Solutions for The Nature Conservancy
  • Analyzed inequities in Nature-Based Solutions (NBS) in the Bay Area using Python and data from TNC’s API
  • Developed a ranking of Nature Based Solutions and compared it to current measures of climate risk to identify discrepancies in between the two measurements, which were used to make recommendations for NBS investments
  • Presented findings and recommendations to a non-technical panel of ten city planners and investors
  • Language: Python

Pac-Man AI

September 2022 - November 2022

  • Developed multiple python Pac-Man projects using informed state-space search, probabilistic inference, and reinforcement learning.
  • Implemented depth first search, breadth first search, and A* search algorithms to help Pac-Man find food while avoiding ghosts.
  • Designed different types of Pac-Man agents based on minimax, alpha-beta, and expectimax search and Q-learning.
  • Used probabilistic inference (variable elimination, exact inference, joint particle filtering) to design Pacman agents that use sensors to locate and eat invisible ghosts.
  • Language: Python

Interactive Travel Map

September 2022

  • Developed an engaging and user-friendly interactive travel map, showcasing over 30 locations I’ve explored, to enhance my travel blog
  • Utilized Folium, HTML, and web scraping techniques to create individualized pop-up descriptions for each location, seamlessly linking to my travel blog
  • Integrated Geopandas and choropleth functionalities, dynamically coloring countries based on the frequency of my visits to provide a visually appealing representation of my travel history.
  • Language: Python
  • Github

Gitlet

May 2022

  • Engineered local version control system in Java, using serializable objects and commands
  • Incorporated the standard Java library to implement functions of git (init, add, commit, merge, branch, checkout, and status)
  • Language: Java

Multiple Linear Regression on California Waste Data

May 2021

  • The goal of this report is to evaluate how land use variables predict the amount of solid waste in millions of tons.
  • Language: R
  • Full Report

Covid Vaccine Queue Simulation

March 2021

  • Simulated a COVID vaccine call queue based on age and pre-existing condition using R. Plotted waiting time for queues, poission distribution for arrival time, and exponential distribution for interarrival times.
  • Language: R