Daniel Konecki


Graduate Student

Daniel Konecki

Graduate Student

Daniel Konecki is computational graduate student who graduated from the University of Maryland College Park with degrees in Biochemistry and Computer Science.  His work focuses on cancer genetics using network based and unsupervised machine learning methods.  In the lab he also contributes to the coding of software pipelines and web tools.

Publications

  • Lua RC, Wilson SJ, Konecki DM, Wilkins AD, Venner E, Morgan DH, Lichtarge O, "UET: a database of evolutionarily-predicted functional determinants of protein sequences that cluster as functional sites in protein structures."