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Tenzing Joshi is an applied physicist and data scientist whose interests lie at the intersection of sensor hardware and data analysis. He spent 8 years in the Applied Nuclear Physics program at Lawrence Berkeley National Laboratory (LBNL) — 3 as a postdoctoral fellow and 5 as a staff scientist. At LBNL he led R&D projects exploring new concepts in gamma-ray imaging, spectral analysis, and how advances in machine learning and sensing technologies could be applied to these problems in support of nuclear security and nonproliferation missions.

He received a B.S. with distinction in Nuclear Engineering from Purdue University. After that he earned his doctorate in Nuclear Engineering from the University of California, Berkeley. He performed his doctoral research as a Lawrence Scholar at Lawrence Livermore National Laboratory studying the low-energy properties and performance of liquid argon detectors for neutrino and dark matter detection. He has authored and co-authored over 65 papers and mentored multiple graduate students.