Santona Tuli, Ph.D.

Dr. Santona Tuli is a highly skilled data scientist with a Ph.D. in Physics specializing in Nuclear Sciences and Quantum Chromodynamics.

He excels in building end-to-end data science pipelines, focusing on strategic data featurization, explainable machine learning, and result validation.

With a background in leading data teams and driving data strategy, Santona has made significant contributions to the field of data engineering and machine learning.

His experience ranges from contributing to open-source projects like Apache Airflow to building ML pipelines for natural language queries in the CRM space.

Dr. Tuli also led a team at CERN studying nuclear physics phenomena at the Large Hadron Collider, where they made groundbreaking discoveries in particle physics.

His educational background includes a Ph.D. from the University of California, Davis, and a Bachelor's degree from Trinity University.

Santona has held various roles such as Head of Data, Principal Product Manager, and Research Data Scientist at organizations like Upsolver, Astronomer, and CERN.

In addition, he has a strong passion for teaching and has served as an instructor at UC Davis and as a physics teaching staff at Trinity University.