Biography:Jack Yang

Short description: American computer scientist and biophysicist

Jack Yang
Nationality	American
Alma mater	Johns Hopkins University Purdue University Harvard Medical School
Scientific career
Fields	Computer science Biophysics
Institutions	Indiana University Harvard University

Jack Y. Yang is an American computer scientist and biophysicist. As of 2011, he is the editor-in-chief of the International Journal of Computational Biology and Drug Design.

Education

Yang received his Ph.D. and MS degrees from Purdue University under the supervision of Okan Ersoy (computer engineering) and Albert Overhauser (biophysics), receiving the grade of summa cum laude and the award of Ph.D. thesis of the year in the USA. His post-doctoral training was from Harvard Medical School and Indiana University School of Medicine, and he received training in biostatistics and bioinformatics from Johns Hopkins University, and in computer science from University of Illinois at Urbana-Champaign.

During this period he spent a few months at the CERN Institute. Yang was trained as a combined experimental and computer scientist with teaching, research, engineering, and in field practice in computer science, biomedical engineering and biophysics.

Career

Yang works in engineering and translational medicine, with research interests ranging from cancer homeostasis, computational drug development, high throughput biology, database maintenance and microfluidomics applied to microarray proteomics. He specializes in cancer biology and artificial intelligence.

He is an honorary editor for the International Journal of Functional Informatics and Personalized Medicine and editor-in-chief of the International Journal of Computational Biology and Drug Design, together with partial appointments in Nature and Science, where he contributes regular revisions and comments. He has also been an editor of more than a dozen journals and proceedings books including the Journal of Supercomputing.

He was the general chair of the IEEE 7th International Conference on Bioinformatics and Bioengineering at Harvard Medical School and Co-PI of several grants form the National Science Foundation, Howard Hughes Medical Institute, and the National Institute of Health. He is also a consultant to Interlink Continental Journal of Biological Sciences, MIR labs, and the International Conference on Bioinformatics and Computational Biology.

Yang has published more than 100 peer reviewed papers and book chapters, especially in BMC Genomics. He is a permanent candidate to the Millennium Technology Prize. Yang completed a university speaking tour in Japan, and met with prime minister Yoshihiko Noda to discuss possible solutions to the Fukushima Daiichi nuclear disaster.

References

• School of Computing uga.edu
• "Discover the possibilities of AI with watsonx". 27 November 2023. https://www.ibm.com/us-en. 
• "Mirlabs". http://www.mirlabs.org/. 
• "International Journal of Functional Informatics and Personalised Medicine (IJFIPM) Inderscience Publishers". https://www.inderscience.com/jhome.php?jcode=ijfipm. 
• "International Journal of Computational Biology and Drug Design (IJCBDD) Inderscience Publishers". https://www.inderscience.com/jhome.php?jcode=ijcbdd. 
• Yang, Jack Y; Yang, Mary Qu; Zhu, Mengxia (Michelle); Arabnia, Hamid R; Deng, Youping (2008). "Promoting synergistic research and education in genomics and bioinformatics". BMC Genomics 9 (1): I1. doi:10.1186/1471-2164-9-s1-i1. PMID 18366597. 
• Yang, Jack Y; Yang, Mary; Arabnia, Hamid R; Deng, Youping (2008). "Genomics, molecular imaging, bioinformatics, and bio-nano-info integration are synergistic components of translational medicine and personalized healthcare research". BMC Genomics 9 (2): I1. doi:10.1186/1471-2164-9-s2-i1. PMID 18831773. 
• Yang, Jack Y; Li, Guo-Zheng; Meng, Hao-Hua; Yang, Mary Qu; Deng, Youping (2008). "Improving prediction accuracy of tumor classification by reusing genes discarded during gene selection". BMC Genomics 9 (S1): S3. doi:10.1186/1471-2164-9-s1-s3. PMID 18366616. 
• Li, Guo-Zheng; Meng, Hao-Hua; Lu, Wen-Cong; Yang, Jack Y; Yang, Mary Qu (2008). "Asymmetric bagging and feature selection for activities prediction of drug molecules". BMC Bioinformatics 9 (S6): S7. doi:10.1186/1471-2105-9-s6-s7. PMID 18541060. 
• Hecker, Joshua; Yang, Jack Y; Cheng, Jianlin (2008). "Protein disorder prediction at multiple levels of sensitivity and specificity". BMC Genomics 9 (S1): S9. doi:10.1186/1471-2164-9-s1-s9. PMID 18366622. 
• Yang, Jack Y; Yang, Mary (2008). "Predicting protein disorder by analyzing amino acid sequence". BMC Genomics 9 (Suppl 2): S8. doi:10.1186/1471-2164-9-s2-s8. PMID 18831799. 
• Yang, Jack Y.; Yang, Mary Qu; Ersoy, Okan K. (2003). "Exploring Protein Functional Relationships Using Genomic Information and Data Mining Techniques". Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 1073–1080. doi:10.1007/3-540-44989-2_128. ISBN 978-3-540-40408-8. 
• Yang, Mary Q. (18 July 2006). "Predicting Protein Structure and Function Using Machine Learning Methods". Department of Electrical and Computer Engineering Technical Reports. https://docs.lib.purdue.edu/ecetr/69/. Retrieved 3 December 2023.