Inteviron Capital Institute

Henry W. Johanson

Expert in Financial Market Behavior

Research Senior Equity Analysis Advisor

With over twenty years of experience in global market analysis, Professor Henry W. Johanson has served at internationally renowned investment banks and asset management institutions.

He specializes in financial behavior modeling, market strategy simulation, and empirical research, and holds significant influence in the fields of quantitative trading and risk management.

Professor Henry W. Johanson is one of the principal architects of Gemini AI’s core decision making models and serves as the lead lecturer for the academy’s Market Cognition and Strategic Logic curriculum.

As a key member of the Gemini AI project, he led the development of adaptive investment strategy models and made critical contributions to enhancing the system’s intelligent evolution capabilities.

Professor Henry W. Johanson is deeply committed to cultivating a new generation of financial innovators, emphasizing rigorous analytical thinking, advanced technical expertise, and a global perspective.

Frank M. Oswald

Expert in Artificial Intelligence Architecture

Head of Advanced Algorithm Engineering

Dr. Frank M. Oswald graduated from one of the world’s leading computer science research institutions and previously served as a core algorithm scientist at a leading AI unicorn company. She specializes in deep neural networks, reinforcement learning, and the development of large scale model systems.

As the principal developer of Gemini AI’s technical architecture and model training system, Dr. Frank M. Oswald played a pivotal role in advancing financial AI from a "laboratory concept" to a fully operational, real world solution.

Sanchez Patrick

Researcher in Macroeconomics and Risk Management

Former Data Advisor to International Central Banks

Dr. Sanchez Patrick holds a dual background in macroeconomic modeling and systemic risk analysis and has provided advisory support to multiple national central banks on the development of intelligent forecasting models.

He has authored several highly cited international publications on cross market linkage mechanisms and financial stability modeling.

Dr. Sanchez Patrick served as the principal architect of the risk perception and response mechanisms within the Gemini AI system.

Samuel E. Xavier

Scholar in Financial AI Ethics and System Interpretability

Technology Philosophy Advisor

Professor Samuel E. Xavier specializes in the controllability, interpretability, and ethical boundaries of artificial intelligence within financial systems.

His research emphasizes the cognitive frameworks underpinning algorithms and the integration of human machine collaboration.

Within the Gemini AI project, he led the design of the intelligent recommendation transparency framework and the risk traceability mechanisms.

Venessa Roberto

Former Head of Hedge Fund Strategy

Wall Street Senior Quantitative Trading System Designer

Ms. Venessa Roberto previously served as Head of Trading Strategy at a prominent New York based hedge fund.

She specializes in strategy back testing, dynamic modeling, and financial technology system integration.

Well known for translating practical trading experience into sophisticated model frameworks, she acts as a critical bridge between industry practice and technological innovation.

Within the Gemini AI project, she played a key role in developing the strategy simulation layer and establishing the strategy evaluation standards.

Walter Jeremy

Global Expert in Fintech Policy Research

Walter Jeremy specializes in the evolution of intelligent financial systems within regulatory environments and has been deeply involved in global fintech policy sandboxes and experimental initiatives.

He provides Gemini AI with cross border compliance frameworks and policy evolution strategies, enabling the system to achieve robust global adaptability.

Global Pioneer in FinTech Education

Inteviron Capital Institute stands at the forefront of financial technology education, merging advanced AI models, quantitative finance, and capital markets expertise to shape next-generation trading professionals.

Proprietary Gemini AI Trading System

Our flagship innovation, Gemini AI, is a proprietary intelligent trading assistant. It integrates multi-factor modeling, deep learning prediction, market sentiment analysis, and adaptive risk control. Gemini AI supports multi-asset markets including equities, options, and digital assets—offering real-time strategy optimization and execution capabilities.

Elite Faculty with Industry Credentials

Our faculty includes former Wall Street traders, AI researchers from Silicon Valley, and blockchain project founders. Every course is grounded in real-world scenarios and market data, ensuring a seamless transition from theory to practice.

Hands-On Multi-Market Simulation Training

Students gain access to realistic trading environments covering U.S. equities, ETFs, cryptocurrencies, and derivatives. Through virtual backtesting and live-simulated trading, students build and refine their investment strategies from day one.

AI-Powered Curriculum Integration

We offer a deeply integrated curriculum with topics spanning Python for finance, NLP-based market intelligence, algorithmic trading, smart contracts, and DeFi analytics—equipping students to become decision-makers in the era of intelligent finance.

Bridge Between Capital and Technology

The institute facilitates strong partnerships with hedge funds, fintech startups, and global digital exchanges, providing exclusive internship pathways and research incubation opportunities.

Academy Vision, Shaping the Future of Global Intelligent Finance

Our business school’s vision is to build an intelligent, transparent, and efficient financial ecosystem by integrating cutting edge artificial intelligence technologies with profound financial theory.

With deep insight into financial markets and an unwavering commitment to technological innovation, we are leading the industry into a new era of intelligent finance.

We are dedicated to cultivating a new generation of financial leaders, individuals who not only master market dynamics but also excel in advanced technologies, driving forward the innovation and industrialization of intelligent financial technologies.

Here, we do not simply train market analysts, we nurture financial visionaries with both technological acumen and strategic foresight.

We believe the future of finance belongs to those who understand algorithms as deeply as they understand risk and order.

Starting with Gemini AI, our business school is advancing toward a higher dimension of financial intelligence.

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