Tom earned his PhD from Carnegie Mellon in Computer Engineering with a focus on parallel computing architectures and prrogramming models. His interest in high-performance computing took him to NASA Ames, and then to Rambus where he worked on accelerated memory interfaces for providing high bandwidth. Following that, he co-founded the cloud video analytics company, Sensr.net, that applied scalable cloud computing to analyzing large streams of video data. He later joined Roche to work on next-generation sequencing and scalable genomics analysis platforms. Throughout his career, Tom has focused on the application of high performance computer systems to real world problems.
![](https://ent-gen-ai-summit-west.com/sites/default/files/styles/panopoly_image_square/public/speakers/tom_sheffler_headshot.jpg?itok=WuyEmcyS&c=6dba7b88948980fbbbcf03bfaa1af0ab)
Job Title:
Solution Architect, Next Generation Sequencing
Company:
Former Roche