AI Researcher ο½ Time-Series + Biomedical AI + Quantum ML
Harvard Medical School & BIDMC,ex-OpenAI, ex-MediaTek, ex-Max Planck Institute
Passionate about transforming data into intelligence π§ β‘οΈ
- π§ͺ Researcher at Harvard Medical School & BIDMC (AI x Surgical Informatics).
- π§ Researcher at Neuro Industry, building the EEG Foundation Model (AI x EEG x Psychiatry).
- π DeFAI Researcher at Omnis Labs (AI x DeFi x Finance).
- π± Currently exploring Quantum Machine Learning, Quant Finance, DeFAI and Brain-Computer Interfaces.
- π My research publications are listed on Google Scholar.
- Res-VMamba
Fine-grained food classification using state space models with residual learning. - DL-based Eye Tracking System
The new Gaze Heatmap System provides advanced gaze tracking with ETH-XGaze as the default model (best accuracy, supports MPS GPU acceleration).
- MUSE EEG
Mindβs Eye: EEG-based image recognition using multimodal similarity-keeping contrastive learning. - ASR-LLM-Medical prediction pipeline
A comprehensive two-stage pipeline for emergency medical service (EMS) call analysis, combining Automatic Speech Recognition (ASR) evaluation with Large Language Model (LLM) enhancement for medical term correction, information extraction, and emergency page generation. [Related]: Firefox Crawler for Broadcastify Audio Archives.
- ctext.org Chinese peom crawler
For scraping Chinese classical texts from ctext.org. - Chinese BERT Fineture
A BERT Chinese model fine-tuning project based on DeepSpeed framework, trained on TMMLU+ multi-domain Chinese Q&A dataset.
- Quantum MNIST Diffusion
Quantum-enhanced diffusion models for image generation, bridging medical imaging and quantum computing. - QEEGNet
Hybrid quantum-classical encoder model for EEG representation learning. - Quantum Contrastive Learning
ICASSP2025EEG-image data analysis and processing on quantum computing. - Quantum Adaptive Self-Attention (QASA)
QASA: Quantum Adaptive Self-Attention for Quantum Transformer Models. - QuantumRWKV
Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting - Vision-QRWKV
Vision QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification - QRL for Industry Sector Rotation
This project implements a Quantum Reinforcement Learning (QRL) agent for the task of industry sector rotation in the stock market. - QML for text gen
- BTSPFormer
Transformer-based time-series model inspired by behavioral-timescale synaptic plasticity (BTSP), designed for predictive learning on damped signals. - DeFi Benchmark on Curve.fi
Predict Curve Pool Virtual Price changes using Random Forest, LSTM, Transformer and QNN (Quantum Neural Network) models. - Curve Pool Intelligent Prediction System
Real-time prediction of Curve pool Virtual Price changes, intelligently identifying the best investment opportunities.
- Necomimi
EEG-to-Image generation using diffusion models with neural cognitive alignment.
- EEG Dataset Survey Paper
A survey of public EEG datasets for machine learning and BCI. - Psycho Gundam
EEG-based real-time robotic control system using EMOTIV+ and deep learning.
- Python 101 in zh
Simple python tutorial for beginners in chinese. - PyTorch Medical Image Tutorial
Three deep learning models (VGG16, ResNet18, ViT) on the PathMNIST dataset. - Deep Learning Introduction
A step-by-step PyTorch tutorial for deep learning beginners. - LLM Finetune Turoeial
This project provides comprehensive examples and scripts for fine-tuning and interacting with Large Language Models (LLMs) using three popular toolkits: DeepSpeed, NVIDIA NeMo, and Unsloth. - Soft Prompt VLM Fine-tuning
- Solana Demo Tutorial
A basic Solana smart contract demo using Rust and TypeScript, deployed on devnet. - Solana PDA Practice
This repository demonstrates a simple Solana program that manages user data accounts with messages that can be updated through PDA. - Anchor Solana PDA
A simple Solana program built with the Anchor framework demonstrating the initialization of a Program Derived Address (PDA). - Blockchain from Scratch
A practice project building blockchain systems from the ground up. - Uniswap V3 AMM Performance Backtesting System
A backtesting system for Uniswap V3-style AMM (Automated Market Maker) performance on Katana L2 chain, using historical event data from the WBTC-USDC pool for backtest analysis. - Quantum vs Classical ML in AMM Trading Strategies
Quantum vs Classical ML in AMM Trading Strategies.
- Option Simulator
A mathematical model-based American options backtesting system that simulates option prices using mathematical models rather than relying on historical market data.
- BugCan Pest Counter
An IoT project for agricultural pest counting and detection.
- βοΈ Email: [email protected]
- πΌ LinkedIn: Michael Chi-Sheng Chen


