By This Time Tomorrow...

Photo: Tötös Ádám, https://unsplash.com/es/@toti1996

By This Time Tomorrow... is a pioneering analytics and simulation platform that applies the principles of physics—especially diffusion theory and complex systems modeling—to understand, forecast, and navigate financial markets. We harness tools like mean squared displacement (MSD), velocity autocorrelation, and anomalous diffusion to detect hidden patterns, regime shifts, and structural frictions in asset behavior. By blending data science, statistical mechanics, and financial intuition, we empower investors, researchers, and decision-makers with deeper insights into volatility, risk propagation, and market dynamics. Whether you're exploring trends, modeling contagion, or decoding the noise, we bring the precision of physics to the unpredictability of markets.

Team

Carlos A. Torres-Gómez

Bilingual economist with a Master's degree in International Business Management. Over 26 years of experience in the Colombian capital markets sector, specializing in currencies, fixed income, and portfolio management involving forwards and options in USDCOP. Skilled in trading S\&P futures, gold, and fixed income instruments. Strong decision-making abilities and risk management skills, supported by the development of a proprietary trading system. Resilient, highly adaptable to change, and an excellent team leader. Experience in consulting for Wealth Management and Family Offices. Passionate about trading and interested in serving on corporate boards.

Jeimy A. Capera-Mendivelso

Jeimy is a physicist with strong expertise in machine learning, Python, and R programming. With a solid foundation in physics from Universidad Distrital Francisco José de Caldas, she has developed a deep understanding of quantitative analysis and computational modeling. Her experience includes applying advanced machine learning techniques to biological systems, as showcased by her research on identifying cellular states in aging yeast, which led to a poster presentation at ASCB Cell Bio 2024. Jeimy combines rigorous training in physics with hands-on programming skills, making her well-equipped to tackle complex problems at the intersection of data science, algorithm development, and real-world system dynamics.

David C. Duran-Chaparro, Ph.D.

Postdoctoral researcher at NYU's Holt Lab, with a background that bridges physics, engineering, and biology. My training spans mechanical engineering, biophysics, microfluidics, and systems biology, with hands-on experience in simulation, device design, and quantitative data analysis. I’ve developed tools to study complex biological systems using physical principles—most recently, applying statistical mechanics to understand macromolecular crowding and cellular aging. These same analytical tools and physical intuitions are at the core of *By This Time Tomorrow…*, where I translate methods like diffusion analysis and stochastic modeling into powerful frameworks for interpreting financial markets. I combine deep scientific rigor with a passion for uncovering patterns in complex systems—whether in cells or in economies.