Responsibilities: Develop learning pathways grounded in behavioral finance and structured thinking.
Core Functions:
Responsibilities: Lead the design, training, and enhancement of the AI Super-Dimension 7.0 decision system.
Core Functions:
Responsibilities: Ensure high-quality learning journeys and support behavioral growth.
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Responsibilities: Deliver forward-looking insights and market interpretation frameworks.
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Responsibilities: Serve institutional clients through tailored education and system integration.
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Responsibilities: Safeguard platform reliability, data privacy, regulatory compliance, and user protection.
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Responsibilities: Build a trusted, professional brand presence with global influence.
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Responsibilities: Directly overseen by the founder, this office coordinates company-wide growth initiatives and interdepartmental strategy execution.
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Emily Hart is committed to helping individuals without financial backgrounds build financial thinking and risk awareness. Her courses emphasize practicality and structured learning paths, enabling learners to develop foundational asset allocation strategies. At High Dimension FinTech Academy, she teaches entry-level finance and contributes to user learning tracking and content iteration.
Education
Areas of Expertise
Christopher Shaw is a new-generation options expert and currently serves as an Options Analyst and Mentor at High Dimension FinTech Academy. He brings extensive experience in ETF and options trading, with a particular focus on SPY, QQQ, IWM, and VIX index options, as well as core tech stocks such as AAPL, TSLA, AMZN, MSFT, META, NVDA, AMD, and GOOGL.
He is best known for developing the Explosive Momentum Options Strategy and Gamma Scalping (GS) Strategy, both designed to capture volatility and momentum in order to identify high-probability opportunities in complex options markets.
In early 2020, during the COVID-19 market crash, Dave made his mark by strategically deploying SPY put options, generating more than $8 million in cumulative profits. Since then, he has consistently delivered outstanding results in QQQ, VIX, and tech stock options, building a unique trading methodology. In 2022, he joined High Dimension FinTech Academy, where he now focuses on guiding students in options trading, risk management, and trading psychology. His straightforward teaching style and sharp market insights have earned him strong recognition among learners.
Education
MBA in Finance, McCombs School of Business, University of Texas at Austin
Expertise
ETF & options trading (SPY, QQQ, IWM, VIX)
Explosive Momentum Options Strategy
Gamma Scalping strategy
Tech stock options (AAPL, TSLA, AMZN, MSFT, META, NVDA, AMD, GOOGL)
Trading psychology & risk control
Dr. Adrian Wells, born into a financial family in New York, holds a Ph.D. in Computer Science from MIT, with research spanning artificial intelligence, reinforcement learning, time-series modeling, and blockchain fintech. He is recognized as one of the pioneers at the intersection of AI and financial markets, pushing forward the adoption of intelligent systems in quantitative trading.
Over his 30+ year career, Ron has witnessed the dot-com bubble, the 2008 financial crisis, and multiple cryptocurrency bull-and-bear cycles, consistently focusing on using AI-driven systems to manage risks and capture opportunities. As one of the core founders of the AI Super-Dimension 7.0 System, he has led the integration of Graph Neural Networks (GNN), Reinforcement Learning (RL), and on-chain data analysis into the platform, achieving breakthroughs in cross-asset hedging and trend detection.
His representative achievements include:
Threshold Point System: A model combining Transformers, GNN, and quantitative finance methods to identify market turning points and extreme risk exposures.
Quant Nexus System: A deep time-series and reinforcement learning framework for detecting key liquidity nodes and trend reversal signals.
Between 2020 and 2023, Ron successfully applied these AI systems in cross-market trading, turning $150 million in principal into over 3,000% in returns. Today, he manages more than $600 million in assets across Bitcoin, U.S. tech equities, Ethereum, and long-term Treasuries. His research and practical insights have been widely cited by major financial media outlets, including The Financial Times and Bloomberg.
Education
Ph.D. in Computer Science, MIT CSAIL
Expertise
AI-driven quantitative financial models Cryptocurrency and blockchain fintech Reinforcement learning & time-series modeling
Cross-asset risk hedging & trend detection
Marcus Ellington has strong experience in corporate strategy and cross-border expansion. He previously worked at McKinsey and Fidelity Investments. He currently supports the CEO of High Dimension FinTech Academyin advancing international growth, innovation pipelines, and cross-functional collaboration.
Education
Areas of Expertise
Victoria Hayes has over ten years of experience in financial brand development and digital marketing. She has led SEO and global content strategies for several fintech education platforms. At High Dimension FinTech Academy, she oversees brand storytelling, market expansion, and user acquisition.
Education
Areas of Expertise
Karim Soliman is a seasoned expert in system architecture and data compliance. He previously led infrastructure and regulatory initiatives at Citadel. At High Dimension FinTech Academy, he oversees backend architecture and compliance operations, ensuring system stability and data privacy.
Education
Areas of Expertise
Elena Kim has extensive experience in global financial training and collaboration. She previously led client training and system integration projects across Asia-Pacific for HSBC Global Asset Management. At High Dimension FinTech Academy, she leads the design and delivery of institutional-level education solutions.
Education
Areas of Expertise
Jonathan Pierce is an expert in behavioral finance and macroeconomicstrategy. He previously served as a senior analyst at Vanguard, focusing on investor psychology and risk perception. He currently leads High Dimension FinTech Academy’ research publications and the integration of knowledge systems.
Education
Natalie Chen holds dual expertise in cognitive psychology and learning sciences. She has contributed to several financial education platforms, focusing on behavior-based learning interventions and user experience optimization. At High Dimension FinTech Academy, she is responsible for designing personalized learning paths and long-term skill development systems.
Education
Lucas Harrington is a specialist in financial technology and AI algorithm design. He previously held senior positions at JPMorgan and Two Sigma, where he led the development of automated models and decision systems. At High Dimension FinTech Academy, he leads the architecture and algorithm development of the AI Super-Dimension 7.0 system, with a focus on real-time behavioral data modeling.
Education
Sophia Bennett has extensive experience in financial education and adult learning system design. She previously led global investor education initiatives at BlackRock. At High Dimension FinTech Academy, she is responsible for building multi-tiered learning paths that integrate behavioral finance with cognitive science to serve a diverse group of learners.
Education
Areas of Expertise
Edward Morgan brings over 30 years of experience in financial management, quantitative trading, and intelligent investment strategies. Born in Palo Alto, California, into a family rooted in both business and law, he developed an early passion for market logic and mathematical modeling. The 2008 financial crisis became a turning point, prompting him to focus on intelligent, systematic approaches to overcome the pitfalls of human emotion in investing.
In 2019, Andrew founded High Dimension FinTech Academy, a pioneering platform that integrates financial education, real-world practice, and intelligent systems. Under his leadership, the academy developed AI Super-Dimension 7.0 (VM System) — an advanced solution combining investment strategies, trading signals, AI-driven execution, and expert advisory. Unlike a “black box,” VM System emphasizes transparency and learning, designed not to replace human judgment but to strengthen structured thinking and market insight. Andrew’s unique blend of rigorous research and hands-on execution has shaped High Dimension FinTech Academy into a culture of innovation and investor empowerment.
Quantitative trading and intelligent investment research
Systematic and algorithmic trading model development
Risk management and market behavior analysis
Investor education and financial training
Applications of AI in financial technology