Faculty Recruiting Support CICS

Nic Herndon

Teaching Fellow


Big data, machine learning (in particular domain adaptation), data mining and knowledge discovery, bioinformatics, and computational biology.


Nic Herndon's research focuses on domain adaptation algorithms for classification of biological sequences, and tweets for disaster response. He also also develops applications in support of organizing and analyzing large sets of biotic and abiotic data.


Ph.D., Computer Science, Kansas State University (2016), M.S., Computer Science, University of Nevada, Reno (2008), B.S., Computer Science, University of Nevada, Reno (2004). Prior to joining the College of Information and Computer Sciences at the University of Massachusetts Amherst, Nic was a postdoctoral research associate at the University of Connecticut. Before that, he was a bioinformatics specialist, programmer analyst, software engineer, and system administrator at Kansas State University, International Game Technology, and Barnes & Noble, Inc., respectively.

Activities & Awards

Received Best Paper award at the 2015 International Symposium on Network Enabled Health Informatics, Biomedicine and Bioinformatics, and was nominated for best paper award at the 5th International Conference on Bioinformatics Models, Methods and Algorithms, and for best student paper award at the same conference, the year before.