# Michael “Manny” Glover

Marietta, Georgia · michaelmannyglover@gmail.com ·
[technical portfolio](https://rmichaelglover.github.io/hrl-portfolio/cv/) ·
[GitHub](https://github.com/rmichaelglover)

## Research interests

Constraint-based and higher-order inference; computer vision; infrastructure
inspection; hydrologic and urban systems; sensor fusion; uncertainty-aware
decision support; computational social science and econometrics.

## Education

- **M.S., Economics**, Georgia Institute of Technology, 2009 — GPA 3.54, Honors
- **B.S., Economics, Mathematics Concentration**, Georgia Institute of
  Technology, 2008 — GPA 3.52, High Honors
- **Certificate, Convolutional Neural Networks**, deeplearning.ai/Coursera, 2019
  — GPA 3.85

## Selected research and technical contributions

- Developed hierarchical relaxation-labeling software supporting sparse,
  arbitrary-order compatibility constraints, priors, and explicit noise labels.
- Demonstrated order-three factors resolving molecular chirality on 231/231 test
  cases where pairwise compatibility cannot distinguish handedness; reproducible
  code and interactive demonstration published in the portfolio.
- Built a 1,600-line constraint-solving engine identifying brake components in
  wayside railcar imagery and emitting inspection flags at Beena Vision Systems.
- Built and licensed a C++ CT fiducial-registration pipeline validated to
  approximately 0.5 mm for image-guided cryotherapy.
- Invented first-frame optical-marker identification at Motion Reality, raising
  accuracy from approximately 50% to 98% in a 60 Hz multi-camera system.

## Experience

**Glover Labs — Founder and Lead Engineer, 2014–present.** Independent R&D and
client engineering in computer vision, applied AI, model evaluation, medical
imaging, wearable sensing, and constraint-based classification.

**Stanley Black & Decker — Data Scientist, 2018–2019.** Camera calibration and
automated weld-defect analysis using clustering and active contours.

**MiRUS — Computer Vision Scientist, 2016–2018.** Surgical-navigation camera
systems, fiducial tracking, and reproducible C++ builds.

**Cardlytics — C++ Software Engineer / NLP AI Scientist, 2014–2016.**
Constraint-based parsing and low-latency exchange integration.

**Motion Reality — Computer Vision Software Engineer, 2010–2014.** Real-time
multi-person optical motion capture and marker identification.

**Siemens — Economic Forecasting Intern, 2009.** Modeling and VBA automation.

## Teaching

- Georgia Tech graduate teaching assistant: forecasting, econometrics, statistics
- General Assembly associate instructor: Python, machine learning, deep learning
- Georgia Tech undergraduate teaching assistant: calculus

## Methods and tools

Python, C++, MATLAB, R, SQL; OpenCV, TensorFlow/Keras, scikit-learn; probabilistic
graphical models, relaxation labeling, econometrics, time series, clustering,
camera calibration, registration, DICOM, sensor fusion, real-time systems.

## Before submission

Add conventional publication citations/DOIs or label outputs accurately as
software, technical reports, demonstrations, and manuscripts. Confirm employment
dates, metrics, repository URLs, awards, memberships, talks, and any peer-review
status against records. Do not convert portfolio publication into a claim of
peer-reviewed publication.