Dr. Terrence Tricco

Associate Professor

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Biography

Terrence Tricco is an Associate Professor in the Department of Computer Science at Memorial University of Newfoundland. He is a data scientist, astrophysicist, and computational scientist with a broad interest in synthetic data generation across various domains using diverse techniques. His work primarily focuses on numerical details in smoothed particle hydrodynamics (SPH) within astrophysical settings, where he builds high-performance simulation and analysis software. Tricco utilizes deep learning techniques for the generation of synthetic data. He serves as the development lead for the Phantom international collaboration, which aims to create a high-performance SPH code specialized in modeling galaxies, stars, accretion discs, and the interstellar medium. Additionally, he is involved in creating an open-source Python package for the analysis and visualization of astrophysical SPH data, known as Sarracen. He is also the principal investigator at the Centre for Analytics and Informatics Research (CAIR), which offers a high-performance computing cluster for the research community at Memorial University. Tricco collaborates with researchers at Verafin, focusing on synthetic data generation for financial data applications.

Research Interests

Experience

Associate Professor

2015-07-01 — Present

Memorial University of Newfoundland • St. John's, NL, Canada

Teaching and research in computational science, specializing in synthetic data generation and astrophysics.

Requirements for Memorial University of Newfoundland

Master Program
Requirements
GPA Requirement
Required:2.75
IELTS
Overall
Required:7
TOEFL
Total
Required:92
GMAT
Total Score
Required:550
Overall
Required:550
GRE General
Verbal
Required:151
Quantitative
Required:151
Overall
Required:151
Prerequisites
Four-year bachelor's degree Minimum two years of relevant full-time work experience
Application Checklist
  • Online application
  • Official transcripts
  • Two letters of reference
  • CV/Resume
  • GMAT or GRE score
  • Proof of English proficiency (if applicable)
Specialization Notes

Department of Business Administration (MBA program)