Incoming Aerospace Engineering PhD · UCF Hyperspace Center

Micah Banschick

Computational Physicist · Aerospace Researcher

I turn hard problems intosimulations.

I turn hard problems into simulations, models, and insight — across plasma propulsion, astrophysics, and deep-tech R&D.

Micah Banschick

Who I am

About

I'm a physics and mathematics researcher who turns hard problems into simulations, models, and insight. My work spans plasma-propulsion research at the Air Force Research Laboratory, stochastic modeling of binary supermassive black holes, and production software engineering.

This fall I'm beginning my PhD in Aerospace Engineering at the University of Central Florida, joining the Hyperspace Center to advance plasma propulsion and deep-tech R&D. I hold an active DoD Secret clearance and am driven to apply simulation, data, and code toward fielding advanced physics.

3.63
GPA — Physics & Math
Secret
DoD Clearance (active)
3
Manuscripts in prep

Academics

Education

University of Central Florida

2026 — Present

Ph.D. in Aerospace Engineering

Orlando, FLIncoming · Fall 2026
  • Joining the Hyperspace Center to advance plasma propulsion and deep-tech R&D.

University of Connecticut

2022 — 2026

B.Sc. in Physics & Mathematics — University Scholar with Honors

Storrs, CTExpected Aug 2026 · GPA 3.63
  • Thesis: Stochastic Methods for Identifying Binary Supermassive Black Holes.
  • Coursework: Graduate Numerical Analysis, PDEs, Stochastic Processes, Statistical & Thermal Physics, E&M I–II, Analysis I, Abstract Linear Algebra, Complex Variables, Data Structures & Object-Oriented Design.

Where I've worked

Research & Experience

Undergraduate Mathematical Physics Researcher — Stochastic Astrophysics @ University of Connecticut

Dec 2023Present

Storrs, CT

Advisory committee: Jonathan Trump, Lea Ferreira dos Santos, Cara Battersby.

  • Construct MCMC variability models of 950 binary supermassive black hole light curves in Python for parameter inference, feeding the model over 20 GB of black-hole data.
  • Programmed a publication-supported algorithm to calculate the spectral emission distributions of binary supermassive black holes by integrating radially through their mini-disks.
PythonNumPySciPyAstroPyemceeCelerite2AstroML

Space Chemistry Research Intern — Electrospray Propulsion @ Air Force Research Laboratory

Jun 2025Aug 2025

Advisor: Benjamin Prince

  • Executed design-space sweeps informing next-gen emitter-array geometry for higher thrust-to-power efficiency.
  • Simulated charged-particle trajectories in capillary electrospray plumes using LAMMPS.
  • Processed beam-probe data in IgorPro and visualized plume evolution in VMD to cross-validate simulation predictions.
LAMMPSIgorProVMDPython

Space Chemistry Research Intern — Optical Signatures @ Air Force Research Laboratory

May 2024Aug 2024

Advisor: Benjamin Prince

  • Drove experiments gathering optical emissions of N₂⁺ + N₂ collisions at 16–600 eV/q with a 13.86 MHz RF ion source, aiding atmospheric radiative models.
  • Generated vibrational & rotational basis functions with DIATOMIC and simulated spectra in IgorPro, extracting state-resolved cross-sections.
  • Leveraged Monte-Carlo cascade simulations and statistical analysis to validate measurements and produce NIH-validated N₂⁺ spectra for upper-atmosphere radiative-transport models.
IgorProDIATOMICMonte-CarloStatistical Analysis

Java API Engineer @ Synchrony Financial

May 2023Nov 2023

Agile / bi-weekly sprints

  • Built a Spring Boot microservice for sending customer alerts on behalf of high-profile clients.
  • Developed and debugged Java API services that enhanced operational workflows.
  • Delivered consistently across bi-weekly Agile sprints, strengthening team efficiency and timelines.
JavaSpring BootIntelliJ IDEAAgile

Research output

Publications & Talks

Manuscripts in preparation

Banschick, M.

2025

Stochastic Methods for Identifying Binary Supermassive Black Holes

In prep. — target IEEE Transactions on Plasma Science (Apr 2026)

Prince, B., Banschick, M.

2025

Capillary Electrospray Plume Dynamics at nL/s Flow Rates: Experiments and Simulations

In prep. — target JANNAF Exhaust Plume & Signatures (Jan 2026)

Hause, M., Prince, B., Banschick, M.

2024

Luminescence Measurements of Charge-Transfer Collisions of N₂⁺ + N₂

In prep. — planned submission Oct 2025

Selected presentations

Seminar2025

Ion–Neutral Collision Imaging in Low-Pressure Ion Beams

Dept. of Physics, University of Connecticut

Poster2025

Modeling and Simulation of Capillary Electrospray Thruster Plumes

Air Force Research Laboratory

Poster2024

Luminescence Measurements of Charge-Transfer Collisions of N₂⁺ + N₂

Air Force Research Laboratory

Toolbox

Skills

Simulation & Analysis

Monte-Carlo & MCMCPlasma Plume ModelingSpectroscopic FittingStatistical Inference

Programming

Python (NumPy, SciPy, AstroPy, Matplotlib, emcee)MATLABMathematicaJavaGit

Scientific & ML Software

LAMMPSIgorProVMDDIATOMICQuantConnectPyTorchstable-baselines3

Recognition

Honors & Leadership

Awards & Honors

Secret-Level Security Clearance (DoD, active)

USRA

2025 — Present

University Scholar

University of Connecticut

2025 — Present

Honors Scholar in Physics

University of Connecticut

2023 — Present

Annual Physics & Mathematics Award

University of Connecticut

2023

Leadership & Service

Quantitative Researcher

Apr 2025 — Present

Husky Quantitative Group (student-run hedge fund)

  • Implement Policy-Gradient reinforcement-learning algorithms into the HQG trading model.
  • Backtest experimental strategies in QuantConnect using PyTorch and stable-baselines3 (PPO).
  • Present strategy memos to the UConn Dean of Business and external investors to secure funding.

Co-Lead

2023 — 2025

Science, Technology & Astronomy Recruits (STARs)

  • Mentored ~40 STEM undergraduates per semester on majors, research, and graduate applications.
  • Designed and delivered physics demos to ~60 high-school students per year; managed ~$2K in materials and safety kits.
  • Led interactive lessons on optics, electrostatics, projectile motion, and gravity.

Contact

Let's build advanced physics

I'm open to research collaborations and R&D opportunities in defense and deep-tech. The fastest way to reach me is by email.