Speaking at QuantCon 2025
🎤 Speaking opportunity! Honored to be selected as a keynote speaker at QuantCon 2025 in New York City!
Conference Overview
QuantCon 2025 is the premier conference for quantitative finance professionals, bringing together:
- Academic Researchers: Leading professors from top universities
- Industry Practitioners: Senior quants from major banks and hedge funds
- Technology Leaders: CTOs and engineering directors from fintech firms
- Regulators: Policy makers shaping the future of financial markets
Presentation Details
Title: “The Future of AI in Quantitative Finance: From Research to Production”
Key Topics
- Current State: How AI is currently used in trading and risk management
- Technical Challenges: Latency, explainability, and regulatory compliance
- Emerging Trends: LLMs for market analysis, quantum computing applications
- Implementation Lessons: Converting research breakthroughs into production systems
Case Studies
- Real-time Risk Prediction: ML models processing market data at microsecond scales
- Multi-Asset Strategy Optimization: Cross-asset portfolio construction using RL
- Alternative Data Integration: NLP on news, social media, and earnings calls
Why This Matters
Industry Recognition
Being selected to speak at QuantCon represents recognition of:
- Technical Expertise: Deep knowledge across ML and quantitative finance
- Practical Experience: Real-world implementation of advanced algorithms
- Bridge Building: Connecting academic research with industry applications
Knowledge Sharing
This platform allows me to:
- Share Lessons: Hard-won insights from production ML systems
- Build Networks: Connect with leading practitioners and researchers
- Shape Discussion: Influence the future direction of the industry
Presentation Preparation
Research Integration
Drawing on experience from:
- Academic Background: MS in Computer Science and Quantitative Finance
- Industry Practice: Production systems at Interactive Brokers
- Research Collaboration: Published work in computational finance
Audience Engagement
Planning interactive elements:
- Live Demonstrations: Real-time trading algorithm examples
- Q&A Sessions: Deep technical discussions with audience
- Code Sharing: Open-sourcing anonymized algorithm implementations
Expected Outcomes
Professional Impact
- Thought Leadership: Establishing reputation as industry expert
- Collaboration Opportunities: Potential research and consulting projects
- Career Development: Expanding network of senior practitioners
Technical Contribution
- Best Practices: Sharing lessons about ML in production finance
- Standards Development: Contributing to industry standards for AI governance
- Open Source: Releasing tools that benefit the broader community
Personal Reflection
Five years ago, I was a graduate student trying to understand how machine learning could apply to finance. Today, I’m presenting to industry leaders about the future of AI in quantitative finance.
This journey from student to practitioner to thought leader reflects the rapid evolution of our field - and hopefully my small contribution to shaping its future direction.
From the classroom to the trading floor to the conference stage! 🎯📈