Dr. Zhang received a degree of Doctor of Philosophy in Electrical Engineering with an emphasis on Remote Sensing in 2018 from the University of Colorado at Boulder. His research focused on developing advanced 3D radiative transfer model with fast Jacobians incorporating a nonspherical hydrometeor scattering database for inhomogeneous clouds in mesoscale severe weather. From 2000 to 2013, he worked as a software architect engineer at Vexcel Corporation, where he designed and developed synthetic aperture radar (SAR) data processing software for satellite ground systems. He led a development team in the project of SAR image formation for NASA Mini-RF Lunar Mission and won NASA group achievement award for his individual contributions. In 2019, he worked as a research scientist at the Center for Environmental Technology (CET) at CU Boulder and focused on microwave radiance assimilation techniques based on numerical weather prediction models and high spatio-temporal observations via the small satellite constellation concept. He is currently a remote sensing scientist at Global Science & Technology, Inc. (GST) and is working for the NOAA/STAR CrIS SDR team focused on developing new methodologies for the CrIS calibration and validation, supporting the CrIS SDR algorithm development for the operational environment and supporting CrIS pre- and post-launch activities.