Conference Video: How to Brainstorm Novel Ideas for Data Science R&D

This is Ria Cheruvu’s presentation from the WiDS Puget Sound Conference 2021. Enjoy!

ABSTRACT:

The dynamic and tumultuous landscape of data science research and development has made discovering and innovating novel solutions challenging. The goal of this talk is to present strategies researchers can leverage to gain a foothold in the space and start ideating and innovating now.

BIO:

Ria Cheruvu is the AI Ethics Lead Architect at Intel Corporation’s Internet of Things engineering group, and has a master’s degree in data science from Harvard University. Her pathfinding domains include solutions for security and privacy for machine learning, fairness, explainable and responsible AI systems, uncertain AI, reinforcement learning, and computational models of intelligence. She has two filed patents on AI IP protection, in addition to other patents currently undergoing the filing process. She enjoys composing piano music, ocean-gazing, and contributing to open-source communities in her free time.