Mehra-Prescott with Rare Disasters (Equity Premium Puzzle)
Published:
Extends the Mehra-Prescott consumption-based asset pricing model with a mathematical rare disasters framework calibrated to U.S. data.
Posts by Collection
portfolio
RobustSight: AI Safety & Alignment Framework
Published:
Comprehensive CV + LLM safety framework investigating adversarial robustness, interpretability, and human-guided alignment across frontier models.
Traffic Flow Optimization
Published:
Urban traffic management embedding graph theory, linear algebra, and calculus into C++ and JAX to optimize signal timing for city planners.
Volatility Alchemist: Quantitative Options Trading
Published:
End-to-end quant options trading system with real-time data integration, ML volatility models, interactive dashboards, and automated signal generation.
GameNGen: Diffusion World Model for Game Simulation
Published:
Trained a latent diffusion world model on 737K+ Super Mario Bros frames with VAE encoder, CNN reward model, and PPO agents.
Market Microstructure Forecasting with Deep RL
Published:
DRL agent predicting short-horizon price movements from order book snapshots and executing trades via event-driven backtesting.
NFL Veteran Transition: Causal Inference on Player Performance
Published:
Hierarchical mixed-effects models and ML ensembles to isolate the effect of team transitions from individual skill trajectories in NFL player data.
ACL Injury Risk Predictor
Published:
ML pipeline predicting ACL injury risk from biomechanical and performance data, combining sports science domain knowledge with gradient boosting and interpretability tools.
publications
Multiple Myeloma Gene Signatures
Published in The Oncologist, 2024
Statistical analysis of mutation, pathway, and survival data to identify gene signatures associated with disease progression in multiple myeloma.
Recommended citation: Kannappan, A. et al. (2024). "Multiple Myeloma Gene Signatures." The Oncologist.
Agentic AI Systems for Clinical Reasoning
Published in Book Chapter, 2026, 2026
Frameworks for integrating clinical and social data through multi-agent LLM orchestration to improve decision-making and patient-centered care.
Recommended citation: Kannappan, A. et al. (2026). "Agentic AI Systems for Clinical Reasoning." Book Chapter.