My name is Junyang Lu, senior at UMass Amherst studying Computer Science and Mathematics. Currently, I am interning for Fidelity Investment and am part of the Minutemen Alternative Investment Fund as a quant trader. I aspire to explore the possibilities into Quant and Machine Learning. Also check out my Devpost here.
- Binary Classification Neural Network
- Built a neural network from scrach using nothing but Numpy
- Functioning forward/backward propagation and gradient descent
- What LLM Can I Run?
- Cross-platform CLI tool to determine the best stuiable LLM to run based on user hardware and available RAM/VRAM
- Fine-tuned Debator
- Fine-tuned SmolLM2 and Qwen-2 on scraped Reddit data across 20 controversial social issues
- Evaluated performance using BERTScore
- Flame Detection
- A convolutional neural network to detect forest fires
- Factor Model Based Portfolio Optimization
- Focused on volatility and beta calculations
- Sentiment-Oriented Trading Algorithm
- Fine-tunning OPT-2.7B on news headlines to determine buy/sell on targeted stock
- Inspired by this paper
- Asciimov
- Rust-based CLI tool to convert images into ascii art in the terminal
- Gitcoin
- UMass Rocket Team
- Programmed microcontrollers to collect orientation and acceleration data during rocket ascend
- Configured and wired LEDs on payload drone
- Personalization of Large Language Models in Context of Education (ML4ED)
- Building a full-stack application to collect teacher-student interaction data for future LLM training/fine-tuning
- Random Walk & Quantum Walk
- Simulated random/quantum walk on grid/cycle graphs with different intial conditions and investigated the impacts on the resulting entropy
- Conference poster


