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.

Contact

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."