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Yong Liu
HPC Cloud and Big Learning Expert
Professional Background
Yong Liu is a passionate Data Scientist and Technical Leader with an exceptional track record in research and development (R&D). Over the span of his career, he has made significant contributions to the fields of Big Data, Big Compute, and Big Learning, progressively delving into these areas since his early days in technology. His journey began in 1997 at the National Center for Supercomputing Applications (NCSA) in Illinois, where he first logged into an SGI Origin 2000 supercomputer. This experience ignited his passion for data science and set the foundation for a remarkable career.
Yong's professional experience includes developing advanced high-performance transfer learning natural language processing (NLP) models, constructing predictive maintenance solutions within the realm of Industrial Internet of Things (IIoT), and playing a pivotal role in the Xbox production system's language modeling initiatives. His extensive knowledge empowers organizations to unlock the power of big data analytics, exemplified by his contributions to the Bing search stacks. He believes that High Performance Computing (HPC) Cloud and Big Learning—transforming substantial data into continuous insight and intelligence—are now on the cusp of entering the mainstream domain.
In his tenure at NCSA, Yong has successfully led cutting-edge R&D projects funded by prominent institutions such as the National Science Foundation (NSF) and Microsoft Research (MSR). His focus has been on creating integrated data and compute-intensive systems by leveraging a diverse range of technologies including Sensor Web, Mobile+Cloud Computing, Cyber-Physical Systems, Geospatial Technology, and the Semantic Web. His innovative projects have tackled pressing issues in areas like digital urban informatics, virtual environmental observatories, and the development of holistic decision support systems for complex challenges.
Education and Achievements
Yong Liu's educational background includes a Master of Engineering (ME) and Bachelor of Engineering (BE) from the prestigious Tsinghua University, further enriched by his PhD studies at the University of Illinois at Urbana-Champaign. His academic foundation has been instrumental in shaping his analytical skills, critical thinking, and overall expertise in the rapidly evolving field of data science and technology.
Over the years, Yong has actively engaged with various professional communities. He is recognized as a frequent speaker at high-profile conferences such as the Spark+AI / Data+AI Summit, ACM/IEEE CCGrid HPML (High Performance Machine Learning) workshop, IEEE eScience conferences, ACM GIS conferences, and Supercomputing Conferences. His commitment to knowledge sharing and collaboration emphasizes his dedication to advancing the field of data science.
Achievements
Among his many accomplishments, Yong has held significant roles in various high-impact organizations. Currently, he serves as the Principal Data Scientist at Outreach.io, where he utilizes his skills and experience to drive innovation and efficiency. Prior to this, he held the position of Principal Data Scientist at MAANA, and before that, he was a Senior Software Development Engineer at Microsoft. His role at NCSA as a Senior Research Scientist/Principal Investigator allowed him to lead multidisciplinary teams composed of researchers, students, and engineers. His collaborative efforts have consistently yielded successful outcomes across challenging and rewarding projects.
Through his extensive career and educational journey, Yong Liu exemplifies the ideal blend of technical acumen, leadership capabilities, and unwavering enthusiasm for data science. His work not only contributes to the immediate needs of organizations but also lays the groundwork for future advancements in predictive analytics, NLP, and big data solutions. Yong remains committed to driving innovation in data science, supporting organizations in their quest to transform data into actionable insights, and inspiring the next generation of data scientists.