• Compared two novel methods of reconstructing magnetic fields around a configuration of multiple spacecraft with a standard technique

• Developed a set of tools to evaluate the accuracy of each method when applied to a time varying and turbulent numerical plasma simulation

See our Magnetic Field Reconstruction Methods on GitHub 

• HelioSwarm is a nine-spacecraft observatory that is designed to study the multiscale nature of plasma turbulence via in situ observations.

• I joined the team in 2020. This Heliophysics Medium-Class Explorer mission was selected by NASA in 2022 and is scheduled to launch by 2028.

• My graduate research has studied the effectiveness of various mathematical techniques that will be applied to data from this multispacecraft mission.

• Generated a dataset to represent how the wave-telescope technique estimates the wavevector present in synthetic N-spacecraft data for all possible geometrical configurations.

• Extracted a functional form that best fit the mean error in this estimation as well as the standard deviation.

• Used Bayesian Inferencing to learn the posterior distribution of the coefficients of these equations.

• Exemplified how the equations can be leveraged to select the optimal subset of spacecraft in a many-spacecraft configuration, so that the error in the wave-telescope method is minimized. 

See NEWTSS on GitHub (Numerically Estimated Wave Telescope Subset Selector)

• Applied the Curlometer technique to reconstruct the magnetic fields associated with space plasma simulations from spacecraft measurements to be taken by the proposed NASA mission HelioSwarm.

• Created new mathematical models to maximize the accuracy of magnetic field reconstructions from a known configuration of spacecraft.

• Utilized high performance computing resources to perform calculations on large data-sets.

• Article Corrigendum 

See our Curlometer Extension on GitHub

• Worked in the Radiation Electrical & High Energy Density Science Research Foundation.

• Programmed fluid simulations of the 2D Rayleigh-Taylor Instability.

• Using the weakly non-linear theory as a guide, I learned equations of evolution for the surface perturbation from the RT instability simulations.

• I then generalized these equations to be applicable at arbitrary Atwood numbers (i.e. density ratios).

• Performed undergraduate research at Northwestern University's Mathematical Modeling of Complex Systems (MMCS) Laboratory

• Assessed the validity of applying the Kuramoto Model of Synchronization to the early behavior of matter near Saturn, to study how it aggregated into the planet’s rings and moons 

• Learned to create numerical models in MATLAB, and use Mathematica and Maple to solve analytical systems of equations

• Designed a CubeSat payload to explore the viability of freeze-casting in the temperatures, pressures, and micro-gravities of space.

• Analyzed satellite structure to determine its integrity in reaction to loads, vibrations, and thermal gradients.

• Machined and assembled components and mounts for optical and thermal sensors.

• Astronomy Magazine Article

• Programmed and documented a dynamic vehicle model in Matlab to simulate brake thermal characteristics utilizing vehicle speed data.

• Used Solidworks to design mechanical components and analyzed them using hand calculations, numerical analysis, and Finite Element Analysis.

• Manufactured racecar components using mills, lathes, saws, and other tools.

• Competed in racing and design competitions held at Michigan International Speedway and Lincoln Airpark.