About Us

At True Theta, we specialize in delivering world-class algorithms and machine learning systems with rigor and efficiency. Our team of staff-level scientists and engineers, from leading technology companies and research institutions , investigate, design, deploy, and refine models at speed, ensuring your algorithms perform at the highest standard in production.

You can find our perspectives and practical insights here:

• The Mutual Information YouTube channel,
• Our articles,
• Substack

Our All-Technical Team

• Deep technical bench: Staff+ level ML scientists and data scientists/engineers from top technology companies such as Lyft, Capital One, Google, and Microsoft. Every member is hands-on technical staff: coding, building, and deploying algorithms, with a proven track record of working together to deliver results.
• Academic rigor, practical delivery: About half of our team holds PhDs in mathematics / statistics; the rest have advanced degrees in computer science or quantitative engineering. All have built and deployed end-to-end ML models and systems in enterprise settings.
• Domain expertise: Success across pricing, optimization, quantitative trading, recommendation systems, fraud detection, forecasting, and other high-stakes applications. *Resume packet available upon request

Founders

• DJ Rich works with clients to translate business constraints and objectives into algorithmic solutions and deliver them into production. Before co-founding True Theta, he spent five years at Lyft as a machine learning research scientist, developing pricing, forecasting, and planning algorithms. He also worked in the hedge fund industry modeling risk and credit portfolios. DJ holds a Master’s in Financial Engineering from UC Berkeley.

• Howe Wang specializes in building high-reliability algorithms and business operations grounded in strong data standards. At Lyft, he led applied machine learning and data product initiatives, centralizing the company’s algorithmic operations. He is also the founder of Procure.FYI and Frontier Optic, services that turn unstructured public data into automated insights. Howe holds a Master’s in Computer Science from Johns Hopkins and an MBA from Wharton.