Shruti Misra

Shruti enjoys extracting actionable insights from complex datasets and translating them into compelling narratives that resonate with diverse audiences.

She completed her Bachelor's and Master's degrees at the University of Washington, focusing on embedded systems and robotics, respectively. For her PhD in Electrical and Computer Engineering, also at the University of Washington, she designed a framework to measure innovation in grid-scale battery technologies by blending quantitative and qualitative research methodologies. During her internship at Microsoft, she developed and assessed the feasibility of sparse natural language models on FPGAs to enhance Bing’s inference speed. Her past projects include developing a novel supervised learning algorithm for cybersecurity and creating predictive models for early breast cancer detection.

Outside of work, Shruti enjoys running, baking, playing music, and reading.