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## EDUCATION

* Master of Science: Physics 2000
University of Maryland, College Park, MD

* Bachelor of Science: Physics, Highest Honors 1997
University of Florida, Gainesville, FL
- **Master of Science:** Physics (2000)
- University of Maryland, College Park, MD
- **Bachelor of Science:** Physics, Highest Honors (1997)
- University of Florida, Gainesville, FL

## TECHNICAL SKILLS

Wide range of skills that enables her to jump into any project ranging from data processing and analysis (messy data) to sensor system development. She has a passion for developing prototypes, learning new skill and sharing her knowledge. She currently leads a Machine Learning Community group and supports a NASIC mission.

- **Machine Learning and Data Science:**
- Processing and analysis of large data
- ETL for algorithm input
- Developed ML algorithms for target feature extraction and prediction
- **Teaching:**
- Developed customized Python courses
- Promoted STEM through free workshops
- **Skills:**
- Tensorflow, API development, algorithm analysis & development
- SQL, integrated hardware development & hardware prototyping
- Image metrology: Camera calibration & measure extraction
- **Sensors:**
- Magnetic, Thermal (MWIR, LWIR, passive mmW), SWIR
- Hyperspectral Imagery (HSI), LiDAR, Visible Imaging and Video (FMV)
- **Programming:**
- Python, JavaScript/HTML, bash, C/C++
- Image and video processing with Python, JavaScript, MatLab, GIMP, ImageJ
- **Systems:**
- Linux, CentOS, Arduino, EPS32, Raspberry Pi, Docker
- **Web Development:**
- Quarto, Flask, 11ty, Jekyll

## PROFESSIONAL EXPERIENCE

**Data Science:** Processing and analysis of large noisy data to ETL to feed into algorithms. Developed a variety of ML algorithms to extract target features and make prediction.
### BlueHalo - 2022 – Present

**Machine Learning (ML):** Tensorflow, python, scikit learn etc. Currently, runs a machine learning group called [Gem City ML](www.gemcityml.com)
**Senior Principal Scientist**

**Teaching:** Developed and taught two python courses for AFIT: Data Visualization and Numerical Analysis.
Volunteers to promote STEM: GEM City ML/AI, Django Girls etc.
- Automated Line of Sight (LOS) analysts' reports of radar detection
- Implemented multiple algorithms, including Neural Networks, clustering, and linear regression
- Developed an automatic reports generator to reduce analyst workload

**Skills:** TensorFlow, API development, algorithm analysis & development, integrated hardware development & hardware prototyping, image metrology: Camera calibration & measure extraction
### DiDacTex, LLC - May 2014 – Present

**Sensors:** Magnetic, Thermal (MWIR, LWIR and passive mmW), SWIR,
Hyperspectral Imagery (HSI), LiDAR, and Visible Imaging and Video (FMV)
**Founder / Principal**

**Programming:** Python, JavaScript / HTML, bash, Dot & C
- Provided subject matter expertise in Python, Magnetic sensors, EO and Thermal Sensing, Git, and AWS for AFRL and AFIT
- Developed STEM activities and runs GemCity ML under DiDacTex
- Designed, built, and tested a magnetic navigation sensor system
- Developed Python courses customized to AFIT’s needs

**Images & videos**: Processing and analysis with Python, JavaScript, GIMP & ImageJ for computer vision, machine learning &
human performance analysis.
### InfoSciTex (a DCS Corporation) - Sept. 2012- April 2015

**Systems:** Linux, CentOS, Arduino, EPS32, Raspberry Pi, Docker
**Physicist / Technical Leader**

**Web Development:** [Flask](https://www.onetwentyone.com), [Jekyll](www.evelynboettcher.com), 11ty ([DiDacTex](https://www.DiDacTex.com)
[One Real Pocket](https://www.onerealpocket.com)), Quarto (AFIT course: Online Book and lectures)
- Led the Automatic Human Threat Detection group for AFRL’s Human MASINT program
- Conducted research on automatic classification of humans in EO imagery and Radar signatures

## PROFESSIONAL EXPERIENCE
### Jacobs - Sept. 2011-Sept. 2012

**Physicist**

- Conducted research on Hyperspectral Imagery (HSI) at Wright Patterson AFB

### DCS Corporation - OCT. 2006- April 2010

**Electrical Engineer III**

- Provided engineering support to the Modeling and Simulation Division in Field Performance Branch
- Conducted various tests on human perception and sensor performance

### C-COR (Optinel Systems, Inc.) - Aug. 2000-March 2003

**Electico-Optical Engineer**

- Acquired two patents as lead investigator
- Produced and shipped the first Fiber Gratings to customers

## VOLUNTEERING AND CERTIFICATIONS

- Gem City Tech ML/AI: Runs a Dayton, OH local meet-up for machine learning and AI professionals
- Co-hosted a Django Girls workshop in Dayton, OH
- DeepLearning.AI TensorFlow Developer Professional Certificate (2022)
- Various certifications in Machine Learning and Natural Language Processing

## PUBLICATIONS AS HEAD AUTHOR

- "Create an Intermittent Fan Controller with Python" (Sept. 2022)
- "Modeling Passive Millimeter Wave Imaging Sensor Performance for Discriminating Small Watercraft" (2010)
- "Experimental Determination of Visibility Modeling Parameters for Aircraft" (2010)
- "New Target Acquisition Task for Contemporary Operating Environments: Personnel in MWIR, LWIR, and SWIR" (2010)
- "Human Activity Discrimination for Maritime Application" (2008)
- Patents: #6,738,536 and #6,944,372

## CERTIFICATIONS AND TRAINING

**BlueHalo:** Dayton, OH (Oct 2022 - Present)
Senior Principal Scientist

* Automated Line of Sight (LOS) analysts' reports of radar detection from multiple radar system to make unique tracks; tested on production data
* Implemented multiple algorithms from Neural Networks (NN), clustering, linear regression to clean and filter raw sensor data to stitch stitch and characterize tracks
* Implemented an automatic reports generator to produce both HTML and pdf reports reducing analyst workload. Their first implement micro service.


**DiDacTex, LLC:** Dayton, OH (May 2014 – Present)
Founder / Principal

Created a women owned small business that focuses on extracting
information within images. Boettcher runs the day to day operations of
DiDacTex, Research and Development and performed direct support to
customers. Currently develops STEM activities and run GemCity ML under DiDacTex

- Technical Work:

- Built AFIT’s ANT Center’s first MagInABox (mag nav system) and tested on C17

- Magnetic Navigation: Designed, built and tested AFIT's magnetic
navigation sensor system. In less than a year it went from prototype to being flown. Involved designing PCB boards,
programming microprocessors and created a visualization system
to detect magnetic fields.
- Python Course: Developed and taught two different python courses that where customized to AFIT’s needs. Students learned a range of skills that lead up to how to code up an algorithm from a paper.
- Provided SME for a wide range of fields: Python, EO and Thermal Sensing, Git and AWS for AFRL Sensor Directorate
- Analyzed large data to find correlations between Elint and
tracks.
- Technical lead for a new research areas withing AFRL which
successfully, integrated automatic target recognition software
from a variety of languages and modalities
- Processed SWAMI's Blue Heron LWIR HSI data to feed into DARPA's
InSight system
- UAS Detection from their LiDAR sensor using IP cameras.
- Worked with a ROS (Robot OS) /Gaszebo LiDAR simulator to
generate training imagery, train a LiDAR machine learn algorithm and run the LiDAR
ATR in a simulated environment.
- Developed web applications to render 3D models for AFRL
Sensors Target Model Library
- Developed and published android applications for DiDacTex's
internal efforts
- Maintainer and Feature Developer to AFRL Visual Annotator (AVA)
truthing tool
- Works closely with AFRL customer to develop and standardize a
new research development


**InfoSciTex a DCS Corporation:** Dayton, OH (Sept. 2012- April 2015)
Physicist / Technical Leader

Technical leader for the Automatic Human Threat Detection group for
AFRL’s Human MASINT program. Lead a group of computer scientist to
create detection and classification algorithms of humans in EO imagery
and Radar signatures. Personal research includes automatic
classification of a person’s gender in EO FMV imagery (presented at MSS
2014) using extracted limb size. Examined human bio-metric relation to
help uniquely identify a person (IEEE H&S 2015) and predict age. This
research involves extracting silhouettes, developing detection
algorithms, calibrating imagery: lab measure and from single imagery,
and extracting anthropomorphic measures within the image with/without
any meta data.

- Lead human signature collections involving multiple groups: NASIC,
AFRL/RH AFRL/RYM & GTRI
- Helped customer to create collaborative agreements with PNNL and
ADSS
- Designed a camera calibration system to map cameras to each other
and other systems
- Wrote white papers for BAAs
- Published and presented research

**Jacobs:** Dayton, OH (Sept. 2011-Sept. 2012)
Physicist

Researcher working on a multifaceted challenge problem for AFRL at
Wright Patterson AFB on Hyperspectral Imagery (HSI). The focus is to
understand the variables that affect performance in automatic detection
algorithms and provide the community with a rich source of data and
experiments to further development.

- Built image readers for HSI imagery and spectral signatures.
- Analyzed and characterized spectral signatures
- Measured performance of HSI detection algorithms

**DCS Corporation:** Alexandria, VA
Electrical Engineer III OCT. (2006- April 2010)

Researcher to Night Vision & Electronic Sensors Directorate, (NVESD)
providing engineering support to the Modeling and Simulation Division in
Field Performance Branch; focusing on conducting various tests on human
perception, calibrating NVThermIP models for new tasks, automating image
and video processing and running field tests using a variety of sensors:
LWIR, MWIR, SWIR, mmW, and visible.

- Modeled Soldier’s performance using NVESD models for human
activities and personnel targets. In all experiments care was made
to ensure the “actor” for the activity did not bias results.
Soldiers were trained to ID/Rec/Detect and activity or clothing/
weapon or clothing/tool
- Human Activities test was thermal videos at various image qualities
(“range”) of a variety of activities. It examined how well a Soldier
can ID/Rec/Detect an activity of interest.
- Produced & delivered technical briefings & research findings to
customers (ARL, FAA, Marines, Navy, JIEDO) and at national meetings.
- Created proposals to conduct new research.
- Authored test plans, led field tests and coordinated people and
resources for various experiments.
- Developed training materials to help Soldiers identify planes,
boats, human activities, and PBIED (suicide bombers) in multiple
wavebands.
- Independently investigated the effect of test design on test takers’
performance.

**Accomplishments:**

* Published two journal papers, one as head author.
* Averaged more than three publications per



**C-COR (Optinel Systems, Inc.)** Elkridge, MD
Electico-Optical Engineer (Aug. 2000-March 2003)

- Assumed full responsibility for analyzing competitors,
writing technical specification, and procuring of equipment
as the Marketing-Technical Liaison
- Designed and executed LabVIEW and Visual Basic programs for
the automation of hardware
- testing as well as collaborated with the Test and
Measurement groups
- Integrated system to write specialty Fiber Bragg Grating
(FBG); fabricated the 1<sup>st</sup> 3 gratings sold
- Designed, built, and tested mechanical tunable filter
dispersion compensating device
- Used AutoCAD thermal form packaging for designing Gratings
being shipped to customer

**Accomplishments:**

* Designed a Magnetic Sensor System
* Successfully acquired two patents, \# 6,738,536 and \#6,944,372 as
lead investigator
* Pioneer employee at Optinel Systems, Inc; one of the first four
employees
* Produced and shipped first Fiber Gratings to customers


{% include CV/publications.md %}


## HOBBIES

* Sewing: Some things I created [GemCitySewn](https://www.instructables.com/member/Gem+City+Sewn/)
* Science Tutorials: [Science Saturdays](https://ejboettcher.github.io/ScienceSat_MommyStyle/)
* Python: [Pandas Talk](https://www.youtube.com/watch?v=OJIa7UkRteI)
* Hiking and crafting
* 3-D Printing: Some other things I created [@eboettcher on Thingiverse](https://www.thingiverse.com/eboettcher/designs)
- Unsupervised Learning, Recommenders, Reinforcement Learning, 2022
- Natural Language Processing in TensorFlow, 2022
- Scripting with Python and SQL for Data Engineers, 2022

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