I'm Brayden Mi, a sophomore undergraduate student with a passion for computer science, machine learning, and financial modeling. My academic journey has been focused on understanding the intricacies of algorithms, data structures, and neural networks, and I'm constantly looking for new challenges to grow my skills.

• Long Short Term Memory Stock Price Prediction:

  • Developed an LSTM model for stock price prediction.
  • Achieved an ROI of 120% over 6 months in preliminary backtesting on stable stocks.
  • Integrated advanced techniques to improve performance on volatile stocks.

• MIST with clDice Implementation:

  • Implemented the clDice loss function for tubular structure segmentation.
  • Based on research by Suprosanna Shit, this project was a key part of my internship.

• Simulation Models:

  • Built multiple simulation models as part of my coursework and independent projects.
  • These projects provided deep insights into complex systems and algorithms.

  🌱 Current Focus

• Portfolio Management:

  • Continuously working on improving my financial modeling and quantitative analysis skills.
  • Optimizing my LSTM model to conduct forward testing

• Mentorship:

  • Actively seeking guidance from industry-experienced professors to bridge the gap between academia and practical applications.

  📫 Let's Connect

• LinkedIn

• brayden.mi@nyu.edu