Terrence Tricco

I am an Assistant Professor in the Department of Computer Science at the Memorial University of Newfoundland, and I am cross-appointed with the Department of Physics and Physical Oceanography.

I am a data scientist, astrophysicist, and computational scientist. I am broadly interested in synthetic data generation for a variety of domains and using a variety of techniques. I am interested in the numerical details of smoothed particle hydrodynamics in astrophysical settings, building high-performance simulation and analysis software, and using deep-learning techniques for generation of synthetic data.

If you are a student interested in one of my research areas, please check out my currently available student opportunities.

I am involved with the following:

  • Phantom -- I am a development lead for the Phantom international collaboration to create a high-performance smoothed particle hydrodynamics (SPH) code specialised in modeling galaxies, stars, accretion discs, and the interstellar medium.
  • Sarracen -- Our open-source Python analysis and visualization package for astrophysical SPH data.
  • CAIR -- I am a PI for the Centre for Analytics, Informatics and Research. CAIR offers a high-performance computing cluster serving the research community at the Memorial University of Newfoundland.
  • VBHC-NL -- Our goal is to use a data-driven approach to create value-based health care for the pathway of care for patients with stroke.
  • Verafin -- I work closely with researchers at Verafin on synthetic data generation of financial data.


Department of Computer Science
Memorial University of Newfoundland
St. John's, NL, A1B 3X5

Reviews of Tricco

Learn what people are saying about Tricco.

  • "TriCCo’s thirst for memory thus can become immense, and while it might be satisfied on high-performance computers, it poses a problem for the general applicability of TriCCo."
  • "However, TriCCo in its current form is too slow for larger grids."
  • "We welcome contributions from data and computational scientists to study if and how TriCCo can be improved."