Terrence Tricco

I am an Associate 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 also Chair the Master of Data Science program in the Faculty of Science.

I am a data scientist, astrophysicist, and computational scientist. I am broadly interested in scientific machine learning, the numerical details of smoothed particle hydrodynamics in astrophysical settings, and building high-performance simulation and analysis software.

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.
  • Verafin -- I work closely with researchers at Verafin on synthetic data generation of financial data.

Contact

Terrence Tricco
tstricco@mun.ca
orcid.org/0000-0002-6238-9096
ca.linkedin.com/in/terrencetricco
user=CaQ9mSsAAAAJ

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

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."