BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World
Cybersecurity Systems

Andy K. Zhang et al., Olivia Beyer Bruvik.

Stanford AI Lab, 2025.

Disease correlates of rim lesions on quantitative susceptibility mapping in multiple sclerosis

Melanie Marcille et al., inc. Olivia Beyer Bruvik.

Gauthier Lab, Weill Cornell Medicine, 2021.

Optimizing Sea Lice Management in Norwegian
Aquaculture Using POMDPs

CS 191W Senior Research Project, Spring 2025.

Developed a Julia framework using POMDPs and offline planning to simulate, optimize, and evaluate aquaculture management strategies under uncertainty.

Role: Independent project under the supervision of Dr. Mykel Kochenderfer.

Social Computing

CS 278 Final Project, Spring 2025.

Engineered a comprehensive React Native mobile app designed to enhance and simplify dorm life for college students.

Role: Implemented parts of the backend using React Native and Supabase.

ExpLoRA: Exploring LoRA, SMART, and SOAP to Finetune GPT-2 for Downstream Tasks

CS 224N Final Project, Winter 2025.

Analyzed the performance of LoRA, SMART, and SOAP finetuning techniques on GPT-2 for various downstream tasks.

Role: Implemented SOAP and top-k sampling and evaluated their performance on chosen downstream tasks.

OceanAI: Prior Authorization for Health Care

Startup Project, Winter 2025. [Bot Code]

Alexa, Neel, and I worked with Stanford Health Care to automate the process from prescription to pick up. We also built a specialized Discord bot that provides medical information assistance using Mistral AI, with support for patient records, insurance information, and medical data retrieval.

Role: Created the website and implemented LLM queries, including RAG and a caching system using FAISS and Redis.

Optimizing Sea Lice Management in Norwegian Salmon Aquaculture Using Q-Learning

CS 238 Final Project, Fall 2024. [Code]

Developed a model-free reinforcement learning framework that learns optimal treatment policies for sea lice management from historical farm data.

Role: Implemented the Q-learning model with a binary action space and explored the performance of Q-learning with value function approximation.

GAN-based Image Colorization Model

CS 231N Final Project, Spring 2024.

Developed a generative adversarial network (GAN) that colorizes grayscale images using semantic features extracted from a pre-trained Inception-ResNet-v2 model.

Role: Designed and implemented the model architecture, trained it using PyTorch and CUDA, and optimized performance metrics.

Quarum App

Google Computer Science Summer Institute, Summer 2021. [Code]

Launched a live communication platform to enhance online lecture engagement as part of the Google Computer Science Summer Institute. Try it out by making a new quarum or joining an existing one with ID 239623!

Role: Led the backend development of the website, leveraging Firebase.