Paul Wu's Email & Phone Number

💼 Past Experience

Paul Jialiang Wu has a degree in Statistics from the University of Missouri and a masters in computer science from Stanford University. From 2006-2009, he was a research scientist for an computer vision company, and from 2009-2012, he was a research scientist for a machine learning company. From 2012-2015, he was a principal data scientist at Galvanize Inc. Paul Jialiang Wu has been teaching data science since he started teaching at the University of Missouri in 2015. Previously, he taught this course at Stanford University from 2011-2015. As a principal data scientist at Galvanize Inc., he designed and conducted courses on data science and machine learning. He is also a coach for data science meetups and for startups.

🎓 Education

Paul Jialiang Wu has a BS in Applied Mathematics from Sun Yat-Sen University, and a Doctor of Philosophy in Systems biology and Bioinformatics from Georgia Institute of Technology.Paul Jialiang Wu has been working as a researcher in the Systems Biology and Bioinformatics field at the Georgia Institute of Technology since he was first recruited in2011. From his research experiences and education, he has developed innovative approaches to address bedrock problems in the SDB fields, including the development of tools and software to help scientists carrying out their research, efficient and accurate identification of proteins and gene products, and new methodologies to study membrane proteins in real-time.In his work, Paul Jialiang Wu has focused specifically on using big data and data analytics to unveil hidden facets of proteins and gene products, and developing novel methodologies to study membrane proteins in real-time. Additionally, in his laboratory, he is also working on several important projects with governmental and private partners in the SDB field, including Powder ConjugateSPMR (Powder Conjugation of MicroRNAs), RiboCap (RiboSelective PCR for virulence gene expression), and RepeatMask ( RepeatMask: A RepeatMask Gene Expression Method for Large Scale Determinations).In his previous research and teaching experience, Paul Jialiang Wu has put his knowledge and skills to use to shatter traditional dogma in the SDB fields, and ensure that scientists worldwide access the power of big data for the better understanding of twentieth century life. He is a motivated and passionate scientist, who is committed to Discovering the Secrets of Life, and helping scientists all over the world unlock their disease-fighting potential.

💡 Technical & Interpersonal Skills

Paul Jialiang Wu has over 10 years of experience in teaching and leading data Science classes. He has been a Principal Data Scientist at Galvanize Inc, where he led the design and development of various AI-driven apps, as well as teaching a 14-week data science program. In his free time, he enjoys knitting and spending time with his wife and two children.