Brian Rojas
Electrical Engineering & CS + Mathematics
I apply mathematics, machine learning, and low level programming to tackle
problems in financial markets and security research.
news
Aug 28, 2025
New blog post on book recommendations that helped me
Oct 14, 2024
Started research on PAC bypass techniques for iOS kernel exploitation
Jun 23, 2025
I have developed an artificial neural network driven volatility arbitrage
strategy using LSTMs to forecast short term deviations between realized and implied vol.
latest posts
Aug 28, 2025
Books That I Can Recommend
selected projects
iOS PAC Bypass Research
Researching to bypass PAC in iOS kernel exploitation.
Volatility Forecasting
Machine learning system for forecasting volatility surfaces in options markets.
Built with Python, TensorFlow.
Low-Latency Trading Infrastructure
High-performance trading system built in Rust and C++ for sub-microsecond order execution.