Nathan Bollig

Nathan BOLLIG

Nathan BOLLIG
Email   CV  
Area: Computer Sciences
Advisor: Mark Craven

Dr. Nathan Bollig’s research will focus on applications of machine learning to problems affecting animal and human health.