Virginia Tech · Aerospace Engineering

Truman DeWalch

Aerospace Engineering Ph.D. Candidate · Conjunction Analysis, Transfer Planning, and Mission Software

I build software for conjunction analysis, transfer planning, and mission design.

  • Python, Rust, and C++ tools for orbital analysis and conjunction studies
  • Led a 5-person systems team at The Aerospace Corporation
  • Built the reusable event bank behind published astrodynamics work

Selected Experience

A mix of applied research, production-minded simulation software, and technical leadership in aerospace settings.

May 2023 – Nov 2025 Industry

MTS Graduate Intern

The Aerospace Corporation · Northern Virginia / Remote
  • Built a bistatic radar sensor model for an enterprise mission-analysis environment.
  • Led a 5-person systems engineering sub-team across mission architecture research deliverables.
  • Connected legacy tools so analysts could run high-level trade studies in one workflow.
Sept 2023 – Present Research

Graduate Research Assistant — Just-in-Time Collision Avoidance

Virginia Tech · Blacksburg, VA
  • Built Python, Rust, and C++ software for orbit determination and conjunction analysis across 30+ satellite scenarios.
  • Developed a mixed-fidelity workflow that keeps early screening fast and uses higher-fidelity propagation where dust-cloud geometry matters.
  • Compared optimizer families and deployer constellations under matched budgets, shared event evidence, and common scoring rules.
  • Created a reproducible 1,000-event LEO conjunction bank for evaluation, benchmarking, and publication work.
Sept 2022 – Oct 2023 Research

Graduate Research Assistant — Eclipse Transient OD

Virginia Tech · Blacksburg, VA
  • Designed a modular Python simulation architecture for eclipse-based autonomous navigation studies.
  • Built a statistical atmospheric model from real climate data and used it in the estimation workflow.
  • Applied Unscented Kalman Filters to estimate orbital state from eclipse-transient measurements.
  • Presented the resulting approach at AIAA SciTech 2024.
May 2022 – Dec 2022 Industry

Graduate Student Intern

TrustPoint GNSS · Northern Virginia
  • Created high-fidelity models of satellites, ground stations, and onboard clocks for GNSS simulation.
  • Implemented Extended Kalman Filters and Batch Least Squares for precise orbit tracking.
  • Integrated TDOA, FDOA, and geometric-range measurement models into the simulation engine.

What I Build

Most of my work sits between astrodynamics research and the tools people actually use. At Virginia Tech, The Aerospace Corporation, and TrustPoint, I've built Python, Rust, and C++ systems for orbital analysis, led small technical teams, and published work in astrodynamics venues.

01

Build the models

Python, Rust, and C++ code for orbit determination, conjunction screening, and mission studies.

02

Make them usable

Turn research ideas into tools people can rerun, test, and trust.

03

Lead the work

Lead small technical teams and keep cross-functional projects moving.

Selected Results

These are the pieces I keep fixed so the comparison stays honest across optimizers and constellation studies.

  1. 01

    Reusable event evidence

    Catalog-anchored hazardous-event set reused across optimizer and constellation studies

  2. 02

    Two-lane dynamics policy

    Screening stays analytical while released dust gets high-fidelity propagation

  3. 03

    Objective / gate separation

    Released dust is optimized while intercepted mass remains a strict feasibility gate

  4. 04

    Fair optimizer comparison

    Matched budgets, shared event draws, and common scoring keep comparisons interpretable

Publications

Conference papers and presentations from the dissertation thread, including the papers where I was second author. If a direct link is missing, the citation search is the quickest way in.

Lead-author work

The papers where I led the framing, writing, and conference presentation.

2026

Stochastic Optimization Techniques for the Design of JCA Constellations

DeWalch, T.; Fitzgerald, R.
AIAA 2026-2595 First author
Find Citation Citation search
2024

Enhancing Eclipse Transient Orbit Determination Methods with Statistical Atmospheric Models

DeWalch, T.; Fitzgerald, R.
AIAA-2024-0429 First author
Find Citation Citation search
2024

Dispersion of Targeted Orbital Dust Clouds: Applications to JCA

DeWalch, T.; Fitzgerald, R.
AAS 24-496 First author
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Collaborative work

Closely related conference work where I contributed as second author.

2025

Statistical Evaluation of Dust-Based JCA Systems and Policies

Fitzgerald, R.; DeWalch, T.; Payne, J.; Lutchmidat, A.
AAS 25-770 Second author
Find Citation Citation search
2023

Orbit Determination via Eclipse Transient Timing: Improved Methods and Intensity Models

Fitzgerald, R.; DeWalch, T.
AAS/AIAA SFM Second author
Find Citation Citation search

Technical Snapshot

A quick scan of the languages, methods, and tools I use most often.

Programming

Python NumPy, SciPy, scikit-learn C++ C Rust MATLAB Fortran Julia

Technical Areas

Kalman Filters UKF, EKF Orbit Determination Evolutionary Algorithms Monte Carlo Simulation Statistical Atmospheres Uncertainty Propagation

Core Tools

Git Linux Unix STK Level 3 Certified Jira Confluence LaTeX

Education

Ph.D., Aerospace Engineering

Aug 2022 – May 2026 (Expected)
Virginia Tech

Focus: High-fidelity OD, Conjunction Risk Modeling, Statistical Atmospheres. Advisor: Dr. Riley Fitzgerald.

B.S., Aerospace Engineering

Aug 2018 – May 2022
Virginia Tech
Certifications STK Level 3 Certified

Leadership & Activities

Rank Captain & Tuba Player

Aug 2018 – Jan 2025
Marching Virginians
  • Led a section of 24 members, teaching music and marching fundamentals while managing logistics.
  • Organized and participated in service projects, including the "Hokies for the Hungry" food drive.