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blog > authors > Joseph Wang

Joseph Wang

Joseph Wang is a theoretical physicist with 20 years of proven research experience in modeling collective phenomena and exploration numerical simulation to make predictions in complex systems. Identifying correlations between different degrees of freedoms, connecting those to the understanding of challenging problems and making predictions are his strengths and passion. Most recently, he focused on forecasting rock properties in the oil-gas industry. Previously, he held a postdoctoral research position at Los Alamos National Laboratory affiliated with Center for Nonlinear Studies and the T4 Group of Material Science and Statistical Physics. He also held a record on publishing three well recognized papers in Nature, Science, and Nature Communications on quantum computation within three years before joining Los Alamos. His curiosity to understand nature phenomena coincides with the pursuit of pattern recognition in the data. He has realized that physics is all about a way of thinking, and less about a specific domain of knowledge. Anything learned from one area of physics can be connected to a different area. The most valuable lessons from physics, regardless what tools needed, are how to break a complex problem into smaller tangible problems, and how to gather information about a problem. Tools, such as programming languages, can always be learned on the fly. By the NYC data science training programs, Joseph wants to refine and deepen his hands-on experience in data science. Joseph has shown flexible and deep research experience in physical and mathematical science.

Articles Contributed by Joseph Wang

Machine Learning

Higgs Boson Kaggle Case Studies

by Joseph Wang
Jul 4, 2016
Contributed by by Ruonan Ding, Frank Wang and Joseph Wang. They are currently in the NYC Data Science Academy 12 week full...
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Capstone

Network Intrusion Detection

by Joseph Wang
Jul 4, 2016
Project initiated by Joseph Wang and contributed equally by Wanda Wang, Joseph Wang, Radhey Shyam, and Ho Fai Wong. They graduated from the NYC...
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Capstone

Network Intrusion Detection

by Ho Fai Wong, Joseph Wang, Radhey Shyam and Wanda Wang
Jun 30, 2016
Project initiated by Joseph Wang and contributed equally by Wanda Wang, Joseph Wang, Radhey Shyam, and Ho Fai Wong. They graduated from...
Continue Read
Machine Learning

Higgs Boson Kaggle Case Study

by Ruonan Ding, Frank Wang and Joseph Wang
Jun 14, 2016
Contributed by by Ruonan Ding, Frank Wang and Joseph Wang. They are currently in the NYC Data Science Academy 12 week full...
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R

Data Comparison on Cost of Living in Different States

by Joseph Wang
May 12, 2016
The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with...
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R

Correlation between stock prices in different industrial sectors

by Joseph Wang
May 1, 2016
Contributed by Joseph Wang. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program...
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Student Works

What does it take to predict MLB Starting Pitcher Performance accurately?

by Joseph Wang
Mar 29, 2016
Contributed by Joseph Wang. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program...
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