Mitchell is an undergraduate student at Utah Valley University majoring in Biotechnology. He aspires to go into software engineering where he can solve biological problems with technology. During the summer of 2022, Mitchell will be working as an intern at Utah State University in the Animal Dairy & Veterinary Sciences department. During Mitchell's free time he enjoys camping and studying map topography.

Shelby is a Biochemistry major who aspires to go into software engineering. He has worked with mobile apps, websites (including the front and back end), and desktop applications. He is a percussionist in his spare time.

Cristian is a Plant Science MS student from Colombia. After completing his BS (Computer Science: Universidad del Valle; Cali, Colombia), he worked as a Research Assistant at CIAT(CGIAR) and the Colombian Sugarcane Research Center before joining the Kaundal Bioinformatics Laboratory. After his graduation, he plans to go back to Colombia to join his family, then pursue a Ph.D. to become a professor.

Kaige Zhang is a research associate at The Center for Integrated BioSystems. He received his Ph.D. degree in computer science with Utah State University in 2019, the B.S. degree in electronic engineering from Harbin Institute of Technology, China, in 2011, and M.S. degree in signal and information processing from Harbin Engineering University, China, in 2014. His research interests include computer vision, ML, and their applications in intelligent transportation systems and smart agricultural systems.

Matthew is the systems administrator of the high performance cluster for the bioinformatics group. A passionate Linux enthusiast, his work includes bioinformatics programming and teaching Linux to new users. Matthew is starting an MS in Computer Science this spring and hopes to add a Master's in statistics to his plan of study.

Nikhil is a Computer Science graduate student at USU. His bachelor's degree is in Information Technology from Osmania University, India. His research focus is in Bioinformatics. He is currently working on deep learning, developing prediction models for subcellular localization in human and arabidopsis genome and creating an SSR prediction database. He is also actively studying algorithms and event-driven programming.