Max Robotics — Global Service Robot Directory + US Certification

About

Adam A. Miller is an astrophysicist whose research centers on time-domain astronomy, transient phenomena, and the application of machine learning to large-scale sky surveys. He has made foundational contributions to the Zwicky Transient Facility (ZTF), a state-of-the-art robotic survey system operating at Palomar Observatory that scans the entire northern sky using a revolutionary 600-megapixel camera covering 47 square degrees per exposure. His seminal 2018 paper on ZTF data processing, products, and archive has accumulated over 1,170 citations, reflecting the facility's outsized influence on modern observational astronomy and its role as essential infrastructure for the global research community. Miller's work spans the full pipeline of transient discovery — from image processing and data management to the intelligent classification of astrophysical events. His more recent research pushes into deep learning applications, exemplified by CCSNscore, a multi-input neural network tool designed to automatically classify core-collapse supernovae from spectroscopic data, directly addressing the classification bottleneck created by ZTF's enormous discovery rates. Taken together, Miller's contributions reflect a researcher who not only helps build the instruments that define modern sky surveys but also develops the computational tools necessary to extract science from their extraordinary data volumes.