Max Robotics — Global Service Robot Directory + US Certification

About

Ashish Mahabal is a prominent astronomer and data scientist whose research sits at the intersection of time-domain astronomy, machine learning, and large-scale sky surveys. He has made foundational contributions to the Zwicky Transient Facility (ZTF), a landmark robotic survey using the Palomar 48-inch Schmidt Telescope that scans the entire northern sky with unprecedented speed and depth — work that has garnered over 1,170 citations and reshaped modern transient astronomy. Mahabal has been a driving force in developing intelligent automated pipelines for astronomical discovery, most notably the deep-learning "braai" classifier, which distinguishes genuine astrophysical transients from instrumental artifacts with remarkable efficiency (158 citations). His broader machine learning contributions span supernova spectral classification through tools like CCSNscore, artifact removal in polarimetric imaging, and the early visionary platform SkyAlert, which pioneered real-time, robot-accessible astronomical alert dissemination. His work with the RoboPol collaboration has further extended his reach into interstellar magnetic field studies through optical polarimetry. Across these diverse efforts, Mahabal has consistently championed scalable, AI-driven approaches to meet the data challenges of next-generation astronomical surveys, cementing his reputation as a leader in intelligent time-domain astrophysics.