Harsha Simhadri is a talented computer scientist, with a background in algorithmic research and a focus on practical systems. He obtained his Doctor of Philosophy degree from Carnegie Mellon University, and his B.Tech. in Computer Science from IIT Madras. He has worked with some of the world's leading organizations, including Microsoft, Lawrence Berkeley National Laboratory, Intel, and Bell Labs, gaining vast experience and expertise in his field.

Throughout his career, Harsha Simhadri has worked on several exciting projects such as developing efficient algorithms for web-scale nearest-neighbor search that are now mainstreamed in Bing Ads and Search, creating new ML operators and architectures for tiny IoT and edge devices, as well as creating algorithms and run-times that provide provable guarantees for parallel computing. Harsha Simhadri's interests also extend to mentoring research fellows/interns, where he enjoys guiding and helping to develop their skills.

In conclusion, Harsha Simhadri is an accomplished and knowledgeable computer scientist who is passionate about using his expertise to make a significant impact on the algorithms and practical systems within the tech industry while impacting the broader society positively.