Biography
Dr. Merav Ozair stands at the forefront of the convergence between quantitative finance, data science, and blockchain technology. With a PhD in Finance from the prestigious NYU Stern School of Business, she brings a rare combination of academic rigor, practical business experience, and technological expertise to the rapidly evolving cryptocurrency landscape.
As a data scientist and quant strategist, Dr. Ozair has spent over 12 years applying advanced mathematical and statistical models to solve complex business problems. Her expertise spans from traditional financial markets to cutting-edge blockchain applications, making her uniquely qualified to bridge the gap between conventional finance and the digital asset revolution.
"The intersection of data science, quantitative finance, and blockchain technology represents the future of financial innovation. My mission is to help both professionals and students navigate this complex landscape with clarity and confidence."
With more than 15 years of teaching experience, Dr. Ozair has educated thousands of graduate students and financial professionals. Her ability to distill complex quantitative concepts into accessible knowledge has made her a sought-after educator in both academic and professional settings. She specializes in making sophisticated financial models and blockchain technology understandable to diverse audiences.
Dr. Ozair's consulting work has spanned multiple industries, where she has implemented data-driven solutions and blockchain strategies for organizations seeking to leverage these technologies for competitive advantage. Her unique perspective combines theoretical knowledge with practical application, ensuring that her insights are both academically sound and commercially viable.
Academic Background
NYU Stern School of Business
Doctor of Philosophy (PhD) in Finance
Research Focus: Quantitative Finance, Financial Markets, Risk Management, and Applied Mathematics in Finance
Dr. Ozair's doctoral research at NYU Stern focused on advanced quantitative methods in finance, providing her with the deep mathematical and statistical foundation that she now applies to blockchain and cryptocurrency analysis. Her academic training has been instrumental in developing innovative approaches to understanding and modeling digital asset markets.
Professional Experience
Business & Consulting
Extensive experience in data science, quantitative analysis, and strategic consulting across multiple industries.
Teaching Experience
Educating graduate students and financial professionals in quantitative finance, data science, and blockchain technology.
Areas of Expertise
Data Science
Advanced analytics, machine learning, and predictive modeling for financial markets and blockchain applications.
Quantitative Finance
Mathematical modeling, risk management, and algorithmic trading strategies for traditional and crypto markets.
Blockchain & Crypto
Deep understanding of blockchain technology, cryptocurrency markets, and DeFi protocols from a quantitative perspective.
Machine Learning
Applied AI and ML techniques for financial forecasting, pattern recognition, and blockchain data analysis.
Financial Education
Curriculum development and instruction for graduate-level finance and data science courses.
Strategic Consulting
Business strategy and implementation for organizations adopting blockchain and data science solutions.
Research & Teaching Philosophy
"Education is not just about transferring knowledge—it's about empowering students to think critically and apply complex concepts to real-world challenges."
Dr. Ozair's teaching philosophy centers on making complex quantitative concepts accessible and applicable. Whether working with graduate students or financial professionals, she emphasizes practical application alongside theoretical understanding. Her courses blend rigorous academic content with hands-on projects that reflect current market conditions and emerging technologies.
Research Interests
Quantitative Blockchain Analysis
Applying advanced quantitative methods to analyze blockchain data, predict market movements, and optimize trading strategies.
DeFi Risk Modeling
Developing risk assessment frameworks for decentralized finance protocols and yield farming strategies.
AI in Financial Markets
Exploring machine learning applications for cryptocurrency price prediction and portfolio optimization.