Bio:
My career has followed a path of evolution. After receiving a BSE in Civil & Environmental Engineering and a Minor in Architecture & Engineering at Princeton, I engaged in several exciting independent and international projects in engineering design. Assignments included research prototypes and presentations for New York's Cooper Hewitt Smithsonian Museum and the Holon Design Museum in Tel Aviv, research publications in Hong Kong, and quantitative simulations for industrial city plans in Saudi Arabia.

Now that I completed the Financial Engineering curriculum at Stevens, I built a strong fundamental knowledge of financial theory and adapted my quantitative skillset through mathematical, computational and statistical training with a focus in pricing and Quantitative Finance.

The same equations of Elastic Theory that are used to analyze a floor slab on a skyscraper apply in Financial Market modeling, a mind-bending fact that motivated me to further explore the field.

Let’s connect; email is the best way to reach me: theodosios(dot)novak(at)gmail(dot)com.

Skills:
Python, Pricing Algorithms, Machine Learning, Portfolio Optimization, Algorithmic Trading Strategies, API Design, AWS Cloud Development, Portfolio Theory, Docker, Git.

News:

• 21.01.18 My research on Long/Short Global Macro Strategies was just released. For more details, visit the project page.
• 20.12.29 My research on Genetic Neural Networks was just released. For more details, visit the project page.