Terrence Tricco

I am an Assistant Professor in the Department of Computer Science at the Memorial University of Newfoundland.

I am a data scientist and computational scientist. I am broadly interested in parallel computing, scientific computing, high-performance computing, computational fluid dynamics, computational astrophysics, data science, data visualization, and fundamental machine learning.

My academic research centres around the development of high-performance, massively-parallel scientific code. I am focused on computational fluid dynamics using the smoothed particle hydrodynamics (SPH) method for astrophysical simulations, and am a development area lead for Phantom, a high-performance smoothed particle hydrodynamics (SPH) code specialised in modeling galaxies, stars, accretion discs, and the interstellar medium. I design new algorithms to implement additional physics, such as magnetic fields and dust, and perform careful numerical convergence testing.

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

Prior to joining MUN, I was the Lead Data Scientist at Verafin, a software company specialized in financial crime detection and prevention, a Postdoctoral Research Fellowship at the Canadian Institute for Theoretical Astrophysics at the University of Toronto, and a Research Fellow at the University of Exeter in the UK. I obtained my PhD from the School of Mathematical Sciences at Monash University in Melbourne, Australia. It all started right here at the Memorial University of Newfoundland where I earned my M.Sc. in Computational Science, and my B.Sc. in Computer Science and Physics.


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