About Me

I love all things imaging science, remote sensing, computer vision, and now... robotics!!! Happy to be exploring distributed autonomous systems, simultaneous localization and mapping (SLAM), and robotic space exploration at Colorado School of Mines.

M.S.-Thesis Robotics Student

Colorado School of Mines
Golden, CO
2024-present

Happy to be in my first year at Mines! Focusing on autonomous and distributed systems in computer vision and robotics.

B.S. Imaging Science

Rochester Institute of Technology
Rochester, NY
2014-2018

From unmanned aerial systems to sensor system calibration, image chain analysis, and computer vision applications, I got the chance to learn and work on plenty of cool stuff. Go Tigers!

RoSE (Robotic Space Exploration) Lab

Golden, CO
2025-Present
Graduate Assistant

Building a handheld system for 3D reconstruction of the Mines Lunar Simulant Testbed via a real time SLAM pipeline.

Frontier Technology Inc. (FTI)

Boston, MA
2018-2025
Intermediate Scientist

Primarily supported astronomical image processing pipelines, sensor modeling, image simulation, and R&D efforts for space domain awareness. I worked on non-imaging science applications such as mission planning and mission simulation. Additionally, I contributed to several Python, C++, and Matlab internal tools, and maintained FTI's EOIR Sensor Model and mission simulation stack.

Harris Corp. (L3Harris)

Rochester, NY
Summers 2016, 2017
Image Scientist Intern

I worked on automation of the group’s remote sensing and DIRSIG scene generation workflows, resulting in a more modular, robust simulation system. Follow up work during my second internship included developing a dynamic visualization system for data evaluation adjacent to the main scene generation workflow, and enveloped all areas of the remote sensing simulation workflow. All of this work was performed in Python.

OculiCaeli

This project plays with astro dynamics and space-telescope tasking and planning concepts, with both a functional greedy scheduler and semi-functional RL scheduler implemented so far.

Bildkedde

Simulates staring arrays targeting far-field point sources and poorly resolved objects. Heavy focus on developing a modular image chain for my own sandboxing and hacking. Work in progress.

ConSeQuor

Project for Distributed Systems demonstrating multiple types of resource replication strategies using a simple Streamlit web-app and backend Python code for networking, replica management, and leader-election when relevant.

ImagePypelines

One of the core developers of the ImagePypelines Python package. IP allows users to easily construct pipelines for data processing, and includes mechanisms for easy Docker image creation, a decorator for functional 'block' generation programmatically, and a web application for monitoring and visualizing an IP Pipeline object's execution graph.