Sen Yao, PhD
About Sen Yao, PhD
Sen Yao, PhD, is a Senior Data Scientist at Enolink, specializing in machine learning and computational techniques to address biological challenges. With a strong academic background in Pharmaceutical Sciences, Bioinformatics, and Biochemistry, Yao has collaborated with experts across various fields and has experience in research and data science roles spanning over a decade.
Work at Enolink
Sen Yao has been employed at Enolink as a Senior Data Scientist since 2022. Prior to this role, he worked as a Data Scientist at the same company starting in 2019. His tenure at Enolink spans a total of five years, during which he has utilized his expertise in machine learning and statistical modeling to address complex biological problems. His role involves collaboration with professionals from various fields, including biology, computer science, and statistics.
Education and Expertise
Sen Yao holds a Doctor of Philosophy (Ph.D.) in Bioinformatics from the University of Louisville, where he studied from 2012 to 2016. He also earned a Master's Degree in Biochemistry from the same institution between 2009 and 2012. His undergraduate studies were completed at Guangzhou University of Traditional Chinese Medicine, where he obtained a Bachelor's Degree in Pharmaceutical Sciences from 2004 to 2008. His educational background equips him with a well-rounded knowledge base that enhances communication with experts across various disciplines.
Background
Sen Yao has a diverse professional background that includes roles in academia and industry. He served as a Graduate Research Fellow at the University of Louisville from 2009 to 2016, focusing on R/Perl statistics, structural bioinformatics, and machine learning. Following this, he worked as a Post-doctoral Scholar at the University of Kentucky from 2016 to 2019, where he specialized in computational biology and project management. His early career includes experience as an Undergraduate Lab Assistant at Guangzhou University of Traditional Chinese Medicine.
Achievements
Sen Yao has developed and published a Python package, along with an analysis pipeline utilizing Perl and R. His work emphasizes the application of machine learning and advanced computational techniques in biological research. He engages in continuous learning to enhance both his problem domain knowledge and problem-solving skills, reflecting his commitment to professional development in data science and bioinformatics.