G. Adam Cox
Physicist, Data Scientist and Developer Advocate
Experimental physicist (neutrino physics and direct dark matter detection) with experience in all aspects of constructing large hardware and software projects, including system design and integration, hardware design, hardware programming, system commissioning and calibration, software engineering, data management and analysis. As a physicist, I have a strong educational and professional background in statistics, data analysis techniques, and working with large data sets that are relevant to today’s machine learning and data science fields. As a Developer Advocate I build interesting data science projects for citizen scientists utilizing IBM Cloud technologies. I am also the co-founder of the Seattle Deep Learning Meetup.
Specialties
Data Science, Analytics, Machine Learning, NoSQL
Languages
Python, C/C++, Apache Spark, ROOT, JavaScript, Go, Java, FORTRAN
Collections
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SETI
The search for intelligent life, crunching data courtesy of the IBM Cloud.
4 projects | View Collection
Projects
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GitHub | MediumRead and write data between Spark and IBM’s Object Storage services.
- Object Storage
- Python
- R
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GitHubThe library helps you to read and write data between Spark and IBM’s Object Storage services.
- Object Storage
- Spark
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A.I. for E.T.
Medium | GitHubUsing Watson Data Platform, we've built a citizen scientist project to apply deep learning to improve the state of the art in the search for extraterrestrial intelligence (SETI) research.
- Spark
- Object Storage
- Machine Learning
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Defensive IBM Object Storage Containers
MediumHow to prevent accidental writes when collaborating on data analysis.
- Object Storage
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Simulating E.T. Radio Signals
MediumHow to insert individual files into object storage from within a map function in Apache Spark.
- Object Storage
- Spark
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SETI@IBMCloud: SETI data, publicly available, from IBM
GitHub | dataset | developerWorksRaw data from the SETI Institute for you to crunch in the search for extraterrestrial life.
- Spark
- Object Storage
- Jupyter Notebook
- Python