Human centered, experiment based process planning for multi-material AM is a major obstacle for widespread adoption of this technology, as it depends on a lot of empirical parameters. Application of optimization and machine learning (ML) techniques will be a potential solution to address the challenges associated with process parameter control and sustainable production planning for multi-material bio-inspired products.