Joel S. Welling, PhD
Senior Scientific Specialist, Pittsburgh Supercomputing Center
Carnegie Mellon University
Joel Welling earned a PhD in computational gravitational physics from the University of Pittsburgh in 1983 and joined the PSC at its inception in 1985. He has led or been deeply involved in many projects in many fields, including visualization, telescope astronomy, deep learning and general machine learning, and most recently simulations related to public health. Welling spent 10 years in a joint research position with the Carnegie Mellon University (CMU) Department of Statistics.
Welling has taught courses in computer graphics and computational physics for the CMU Computer Science and Physics departments respectively.
Representative Publications:
- Leslie Mueller et al., The impact of implementing a demand forecasting system into a low-income country’s supply chain. Vaccine, 34(32) 2016
- Bruce Y. Lee et al., Landscaping the structures of GAVI country vaccine supply chains and testing the effects of radical redesign. Vaccine, 33(36) 2015
- Leila A. Haidari et al., Augmenting transport versus increasing cold storage to improve vaccine supply chains. PloS ONE, (5), 2013
- B.Y. Lee et al., The impact of making vaccines thermostable in Niger’s vaccine supply chain. Vaccine, 30(38), 2012
For a full publications list, see here.