AI Researcher ｜ Time-Series + Biomedical AI + Quantum ML
Harvard Medical School & BIDMC, ex-MediaTek, ex-Max Planck Institute
Passionate about transforming data into intelligence 🧠⚡️

• 🧪 Researcher at Harvard Medical School & BIDMC (AI x Surgical Informatics).
• 🧠 Co-founder of Neuro Industry, building the EEG Foundation Model (AI x EEG x Psychiatry).
• 🔐 DeFAI Researcher at Omnis Labs (AI x DeFi x Finance).
• 🌱 Currently exploring Quantum Machine Learning, Quant Finance, DeFAI and Brain-Computer Interfaces.
• 🎓 My research publications are listed on Google Scholar.
  

• Res-VMamba
  Fine-grained food classification using state space models with residual learning.

• MUSE EEG
  Mind’s Eye: EEG-based image recognition using multimodal similarity-keeping contrastive learning.

• ctext.org Chinese peom crawler

• 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.

• 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.

• BugCan Pest Counter
  An IoT project for agricultural pest counting and detection.

• ✉️ Email: [email protected]
• 💼 LinkedIn: Michael Chi-Sheng Chen