Terrence Tricco

Terrence Tricco is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland, cross-appointed with the Department of Physics and Physical Oceanography. He chairs the Master's of Data Science program and leads the Simulation, Modeling and Synthetic Data Lab. His research focuses on synthetic data generation using deep learning, astrophysical smoothed particle hydrodynamics (SPH), and high-performance computing. Tricco is a development lead for the Phantom SPH code and creator of the Sarracen Python analysis package.

He is Principal Investigator of the Centre for Analytics, Informatics and Research (CAIR), managing a high-performance computing cluster. Collaborations include Verafin (financial synthetic data) and VBHC-NL (healthcare analytics). Key research areas include multi-physics SPH algorithms, parallel computing optimization, and numerical analysis of SPH convergence. Tricco's work bridges computational science with applications in astrophysics, healthcare, and finance.

Notable software contributions include Phantom (astrophysical SPH simulations), Sarracen (SPH visualization), and Framalytics (FRAM modeling integration). His lab emphasizes synthetic data generation for sensitive domains like healthcare and finance. Recent work explores generative AI for data synthesis and improving SPH method scalability on modern architectures.