Interests

Research Interests

I work at the intersection of machine learning theory and security, with a focus on making ML systems trustworthy and robust. My current interests include:

• Federated Learning and privacy-preserving ML
• Adversarial robustness and model security
• Uncertainty quantification and probabilistic modeling

Beyond this, I am deeply interested in quantitative finance. I have worked on alpha factor mining for predictive trading models, options pricing, FX dynamics modeling, and time-series forecasting across internships in the UAE. My long-term goal is to bring the rigor of ML research — particularly around uncertainty, robustness, and probabilistic modeling into systematic trading and quantitative research.