Daniel joined the Greene Lab as a Postdoctoral Researcher in June 2016, after receiving his PhD in Biological & Medical Informatics at UCSF. He uses hetnets — networks with multiple types of nodes and relationship — to integrate and learn from the past several decades of biomedical research. All of Daniel’s research is entirely open: openly licensed and immediately available. Check out his GitHub to follow his recent work. Daniel also performs many data science projects designed to make science more open and hence productive.