Kun Hua (Eric) Tu
About Kun Hua (Eric) Tu
Kun Hua (Eric) Tu is a Senior Machine Learning Research Scientist at Buoy Health in Boston, Massachusetts, where he has worked since 2021. He holds a PhD in Materials Science and Engineering from MIT and has authored 21 research papers, demonstrating his expertise in machine learning and engineering.
Work at Buoy Health
Kun Hua (Eric) Tu has been employed at Buoy Health since 2021, serving as a Senior Machine Learning Research Scientist. In this role, he focuses on developing and implementing machine learning algorithms to enhance healthcare solutions. His tenure at Buoy Health follows a previous position as a Machine Learning Research Scientist at the same organization from 2018 to 2021. This cumulative experience in the field of machine learning and healthcare technology positions him as a significant contributor to the company's mission.
Education and Expertise
Kun Hua (Eric) Tu holds a Doctor of Philosophy (PhD) in Materials Science and Engineering from the Massachusetts Institute of Technology, where he studied from 2012 to 2017. Prior to this, he earned a Master's degree in Materials Science from National Taiwan University, completing his studies from 2009 to 2011. He also obtained a Bachelor of Science (B.S.) in Materials Science from the same university, graduating in 2009. His educational background equips him with a strong foundation in scientific research and engineering principles.
Background
Kun Hua (Eric) Tu began his research career as a Graduate Researcher at National Taiwan University from 2009 to 2011. He then transitioned to the Massachusetts Institute of Technology as a Research Assistant, where he worked from 2012 to 2017. Following his academic roles, he served as an Artificial Intelligence Fellow at Insight Data Science for three months in 2017. His diverse experiences in both academic and industry settings have shaped his expertise in machine learning and data science.
Research Contributions
Kun Hua (Eric) Tu has authored 21 research papers that have collectively received over 1000 citations, reflecting his contributions to the field of machine learning and materials science. His work is recognized in top-tier journals, showcasing his ability to conduct impactful research. He is known for delivering clean, self-explained production code, demonstrating his skills as a detail-oriented engineer. His research contributions highlight his commitment to advancing knowledge in his areas of expertise.
Professional Skills
Kun Hua (Eric) Tu is recognized for his skills as a cross-functional communicator and critical thinker. He has contributed significantly to both research and engineering teams, showcasing his ability to collaborate effectively across disciplines. He is described as a '0 to 1 creator,' indicating his capability to innovate and develop new solutions from scratch. These skills are essential in his role as a Senior Machine Learning Research Scientist, where he applies his knowledge to solve complex problems in healthcare.