Joel Hestness
About Joel Hestness
Joel Hestness is a Research Scientist at Cerebras Systems, where he leads the Core ML Team and specializes in machine learning research and development. He has a diverse background in academia and industry, having worked at notable organizations such as Baidu USA and the University of Wisconsin-Madison.
Work at Cerebras Systems
Joel Hestness has been a Research Scientist at Cerebras Systems since 2019. In this role, he leads the Core ML Team, focusing on machine learning research and development. His responsibilities include interpreting the needs of machine learning researchers and guiding engineering teams to optimize Cerebras hardware for AI applications. His expertise in natural language understanding (NLU) and natural language processing (NLP) applications contributes to the advancement of the company's technology in the AI sector.
Previous Experience at Baidu USA
Before joining Cerebras Systems, Joel Hestness worked as a Research Scientist at Baidu USA from 2017 to 2019. During his two years at Baidu, he contributed to various research initiatives, enhancing his experience in the field of artificial intelligence and machine learning. His role involved collaborating with teams to develop innovative solutions in technology.
Education and Expertise
Joel Hestness earned his Doctor of Philosophy (PhD) in Computer Architecture from the University of Wisconsin-Madison, where he studied from 2012 to 2016. He also holds a Bachelor of Science (BS) in Computer Science and Mathematics from the same institution, completed between 2003 and 2007. Additionally, he studied Computer Architecture at the University of Texas at Austin, where he was a Graduate Student and Research Assistant from 2007 to 2012.
Research and Development Background
Joel Hestness has a diverse background in research and development. He served as a Co-operative Graduate Intern at Advanced Micro Devices in 2010 and as a Graduate Intern at the University of Southern California's Information Science Institute in 2009. His early career included roles as a Teaching Assistant and Research Assistant at the University of Texas at Austin, where he gained valuable teaching and research experience.
Speaking Engagements
In 2022, Joel Hestness spoke at Embedded Systems Week, focusing on waferscale computing systems. This engagement highlights his involvement in the academic and professional community, sharing insights on advanced computing technologies and their applications in the industry.