My name is Brandon Ismalej and I am an undergraduate at California State University, Northridge (CSUN) studying computer science and data science. I am a pre-doctoral scholar supported by Cal-Bridge, a bridge-to-PhD program.
I am a data science researcher working at the intersection of wearable health analytics, synthetic data, and machine learning security. I lead the BORACLE Intelligent Algorithms team at the Autonomy Research Center for STEAHM, where I study how smart wearable devices can support health monitoring and AI driven insights. At CSUN, I work on evaluating the privacy, utility, and fidelity of synthetic data, and at UC San Diego I analyze the geometry of neural network representations to understand how they change during training and under adversarial attacks. Across these areas, my focus is on understanding how models behave and designing methods that make AI systems more transparent and trustworthy.
As a scholar, I am motivated by building data driven technologies that are both responsible and useful in real world settings. My interests include wearable health modeling, adversarial robustness, privacy preserving data practices, and the broader question of how to make AI systems easier to interpret and safer to deploy. I aim to bridge technical development with practical impact by creating tools that improve reliability, protect sensitive data, and support meaningful health insights from wearable devices.
🔬 Current Research Areas
📄 Explore My Work
Feel free to reach out if you’d like to collaborate or learn more!