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Shane Chang
Harvard Medical School
Boston, Massachusetts
 

Hsun-Hsien Chang is a research scientist on bioinformatics in the Division of Health Sciences and Technology, Harvard Medical School and the Massachusetts Institute of Technology. He received his PhD (2007) in Computer Engineering at Carnegie Mellon University, where he conducted cardiac magnetic resonance imaging in the Pittsburgh NMR Center for Biomedical Research. He received his BS (1998) in Electrical Engineering from National Tsing Hua University and his MBA (2000) from National Chengchi University, both in Taiwan.

His research interests lie at the intersection of information processing and sciences, with the twin objectives of understanding the information processing in quantum physics and in biology and of applying novel schemes of information processing to scientific studies. His major research fields include: signal processing and information theory, machine learning, bioimaging, biophysics, biological information, and quantum information. His current projects involve the development of system biology approaches to infer functional networks of genes, which are useful for discovering new tumor classes and understanding disease processes.

He is a member of the Bio Imaging and Signal Processing Technical Committee, IEEE Signal Processing Society. He was named a Government Scholar by the Ministry of Education, Taiwan, from 2002 to 2005. He was honored with Investigator Awards at the 2004 IEEE International Symposium on Biomedical Imaging and the 2007 IEEE International Workshop on Statistical Signal Processing. He is a member of IEEE and American Medical Informatics Association (AMIA).

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Read our Q&A with Hsun-Hsien Chang here.


     

Statistical analysis of proteomics, metabolomics, and lipidomics data using mass spectrometry
Datta S., Mertens B., Springer International Publishing, New York, NY, 2016. 295 pp.  Type: Book (978-3-319458-07-6)

This is a collection of technical papers dedicated to mass spectrometric data processing. Mass spectrometry is becoming a standard of studying structures and features of biomolecules in the genomic era. The ultimate goal is to fully in...

 

Hadoop application architectures
Grover M., Malaska T., Seidman J., Shapira G., O’Reilly Media, Inc., Sebastopol, CA, 2015. 400 pp.  Type: Book (978-1-491900-08-6)

This is a wonderful handbook for Hadoop data engineers. Hadoop has become a platform for data science, and its scalability has been shown capable to handle massive volumes of data. While more and more enterprises adopt Hadoop as their ...

 

Multicore and GPU programming: an integrated approach
Barlas G., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2015. 698 pp.  Type: Book, Reviews: (2 of 3)

This is a wonderful handbook for multicore and graphics processing unit (GPU) programmers. Modern computing architectures have included multiple cores for nearly two decades. These parallel computing platforms require a new approach to...

 

Discovering modern C++: an intensive course for scientists, engineers, and programmers
Gottschling P., Addison-Wesley Professional, Upper Saddle River, NJ, 2015. 480 pp.  Type: Book (978-0-134383-58-3)

This is not a conventional book teaching C++ programming. The author targets scientists and engineers, and teaches them the utilization of advanced C++ for scientific studies. There are a number of examples of scientific programming in...

 

How to build a LAMP server
Parker S., CreateSpace Independent Publishing Platform, 2015. 154 pp.  Type: Book (978-1-499754-58-2)

A quick guideline about setting up a LAMP (Linux, Apache, MySQL, PHP) web server is provided in this book. The demand for web servers is growing exponentially, and hosting companies nowadays typically offer an option for clients to bui...

 
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