Daniel is a research scientist at Lawrence Berkeley National Labs.  He received his BS and PhD in electrical engineering from MIT (2010) and UC Berkeley (2017), respectively.  Daniel’s PhD dissertation topic was on developing a fully on-chip LED driver with novel techniques such as multilevel converters, sigma-delta control, and active ripple cancellation.  His postdoctoral work is focused on DC power distribution, and he was the technical lead on much of LBNL’s studies in the efficiency and economics of DC power.  Daniel also developed several DC power analysis tools and built up the LBNL DC testing lab.  His other interests span power electronics, power systems, microgrids, controls, and networked buildings.