Founding Researcher / President
Ali Shehral is an MSCS candidate at Northeastern University’s Silicon Valley campus with a background in finance. His research interests lie at the intersection of quantitative finance and cutting-edge artificial intelligence. Passionate about applying advanced methodologies to transform financial applications, Ali explores reinforcement learning alongside other state-of-the-art approaches—including deep neural networks, generative models, graph neural networks, and meta-learning—to innovate in areas such as algorithmic trading, risk management, and portfolio optimization.
Additionally, Ali is intrigued by the prospect of AI systems engaging in recursive self-improvement—researching and refining their own methodologies—to drive continuous advancements in AI. This dual focus on financial technologies and meta-level AI research underscores his commitment to pushing the boundaries of both fields, paving the way for smarter, more adaptive systems in the financial sector and beyond.
Research Interests: Multi-Agent RL, Algorithmic Game Theory, Explainable AI, Quantum ML