Tarini Bhatnagar holds a Master’s in Data Science and Earth & Environmental Science and is a Senior Solutions Architect at NVIDIA, will lead the NVIDIA Lecture. She supports technical customer engagements in western Canada and helps organizations adopt NVIDIA technology. She is actively involved with several organizations to foster a supportive community for women in tech.
The lecture will focus on NVIDIA Modulus, an open-source framework for developing physics-informed neural networks (PINNs). Students passionate about AI, Machine Learning, and Computational Physics will explore how Modulus solves complex, physics-based problems through AI. The lecture will introduce solving complex, physics-based problems using accelerated computing solutions and AI.
This lecture is hosted by Math Innovation with support from Math Faculty Computing Facility (MCFC).
Registration is required. Questions can be directed to Alexandra Kraushaar in the Math Innovation Office.
Location Information
200 University Avenue West
Waterloo, ON, CA N2L 3G1
