Led the Radar Science team within the Space & Sensors division of the company, and was project scientist for the world's first operational satellite constellation of precipitation radars.

• Project Scientist for the Air Force funded, Commercial Weather Data Pilot program at Tomorrow.io ($19.3M contract)• Spaceborne Ka-band precipitation radar instrument concept development, observation simulation, sensitivity optimization, and signal processing algorithm development• Transmit waveform and digital receiver processing optimization for high duty cycle, long pulse duration pulse compression from space• Radar payload assembly, integration, and test, with a focus on signal fidelity and transceiver calibration accuracy• Payload tasking/mission planning and CONOPs definition in collaboration with spacecraft bus/ADCS operator• Software-defined radar (SDRr) algorithm and capability development working closely with firmware and embedded software engineers

• RF/microwave engineering of millimeter-wave radar systems from 30 to 170 GHz• Spaceborne instrument simulator development and observing system simulation experiments (OSSEs)• Radar signal processing and pulsed, frequency-modulated waveform optimization.• Radar retrieval algorithm development using regularized least-squares and Bayesian inverse methods.• Radar instrument calibration and validation of retrieval products from ground-based and airborne measurement campaigns.• Instrument control, automation, and GUI software development (Python) with real-time processing and data display.• Ground-based, airborne, and spaceborne remote sensing of clouds, precipitation, and water vapor• Cloud microphysics studies using multi-frequency radar systems• Using spaceborne measurement records from active/passive sensors for assessing climate models

• Development of an airborne 170 GHz, frequency-modulated continuous-wave (FMCW) radar for inside-cloud humidity remote sensing.• RF and microwave assembly and testing, and signal processing algorithm development.• Data analysis and development of inversion algorithms for retrieval of atmospheric properties using Bayesian optimal estimation framework and atmospheric radiative transfer modeling.• Spaceborne instrument simulators using large-eddy simulations.

• Laser cooling and trapping of a mixture of fermionic lithium and bosonic ytterbium atomic gases to ultracold temperatures.• Realized first two-element mixture of bosonic and fermionic superfluids, and measured and modeled elastic coupling between the superfluids.• Performed spectroscopy of the Yb 1S0 to 3D2 transition for preparing long-lived ultracold gas of metastable 3P2 Yb.• Designed and implemented one-dimensional optical lattice at 1064 nm.• Developed efficient and fast method for evaporative cooling to quantum degeneracy based on dynamical optical trap shaping, which resulted in the fastest cycle time to date (1.6 sec) for Bose-Einstein condensate (BEC) production in an optical trap• Performed first spectroscopy of excited molecular potentials of diatomic YbLi, and formed the first ultracold YbLi molecules using photoassociation.

Developed curriculum (lectures, homework, labs, and exams) and taught course on waves, optics, and light phenomena for non-physics majors.