Jay Shah Podcast
Jay Shah Podcast
Nov 22, 2020
Siddha Ganju, Forbes 30 Under 30 and Self-Driving Architect @NVIDIA
Play • 34 min

Siddha is a self-driving architect at NVIDIA and she also guides teams at NASA as an AI domain expert . She was featured on the Forbes 30 under 30 list in 2019. 

Previously, she developed deep learning models for resource-constrained edge devices at DeepVision. She earned her Master's degree from Carnegie Mellon University, and her work ranges from visual question answering to generative adversarial networks to gathering insights from CERN’s petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS.

In this interview she shares her insights on:
1. How she got started with the domain ML and Computer Vision.
2. How graduate study and internships helped her gain a perspective of theoretical and practical knowledge in AI.
3. How she keeps herself updated to this every-day changing research domain.
4. What her book, she recently wrote, is about and who should read it.
5. What are the new trends to look for in AI in 2020 and forward.
6. General advice to any beginners in ML, some DO's and DON'T's

About the Host:
Jay is a PhD student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
Jay Shah: https://www.linkedin.com/in/shahjay22/

You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!

***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

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