TurboStrat offers short-term research internships on a rolling basis throughout the year. Participants work under the mentorship of TurboStrat Scholars — faculty members and researchers affiliated with leading U.S. universities such as SJSU, UKY, and UCI.

The program provides a structured research experience that closely mirrors the format of a university thesis or independent study. Interns engage in guided research and applied data science projects that combine theoretical learning with hands-on experimentation.

Participants also have the opportunity to collaborate with experienced AI and machine learning scientists, as well as data engineers from academia and industry, gaining insight into how data science and AI are applied across diverse domains.

Quantitative Research

Focused on quantitative algorithmic trading, this track covers classic strategy design and backtesting, portfolio optimization and risk management.

For more information, view our program one-pager (PDF).

Sports Analytics

Centered on predictive modeling, ranking algorithms, feature engineering, and performance evaluation in soccer and other competitive sports.

For more information, view our program one-pager (PDF).