Hi, I’m @nick-jt (Nick Tricard).
I develop efficient models for scientific computing. These models often rely heavily on parallelism (CPU, GPU, distributed memory) and machine learning to enable accurate simulations at low computational runtime. My most recent project relates to TPU programming for scientific particle tracking.
I work as a graduate student at MIT under Prof. Sili Deng. My work involves modeling of chemical and combustion processes using machine learning and high performance computing.
I came from the University of Connecticut where I worked under Prof. Xinyu Zhao. There, I studied thermal radiation, combustion, and CFD with applications from fire safety to hypersonic engines.
I have interests in machine learning/AI, molecular dynamics, CFD, and more!
Please reach out for questions or ideas: ntricard@mit.edu or https://www.linkedin.com/in/nick-tricard/