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Gunnar Pope's CV |
Leader in Mobile Health Technologies, Data Science, Algorithm Design
PO Box 1 Hanover, NH 03755
Founder & CEO of bitstory.ai - a data-software company for designing, deploying, and automating Machine Learning and Artificial Intelligence technologies.
Wearable Sensor Technologies, Physiological Sensing, Applied ML, IoT, Algorithm Design, Stress-Detection, Gait Analysis, Fall-Detection, Low-Power Sensor Design, Digital Signal Processing, Electronic Intrumentation Design, Medical Electronics, Test-Driven Design, Automation
Applied Machine Learning Applications for Health and Wellness Technologies, Stress Detection, Gait Analysis, Low-Power Sensor Design, Instrumentation Design, Algorithmic Trading
Dartmouth College, Hanover NH 2014-2019
Doctor of Philosophy (Ph.D.)
Thayer School of Engineering, Hanover, NH
Thesis Title: An Ultra-Low Resource System for Electrodermal Activity Monitoring
Thesis Topic: Ultra-Low Power Wearable Biosensors
Concentration in Biomedical and Electrical Engineering
Advisor: Ryan J. Halter, Ph.D.
Relevant Coursework: Ultra-Low Power Embedded Systems; Advanced Digital Electronics and Signal Processing; Biomedical Instrumentation Design; Computer Engineering; Machine Learning
Dartmouth College, Hanover NH 2012-2014
Bachelor of Engineering
Thayer School of Engineering, Hanover, NH
Major: Electrical/Electronics Engineering
Citation for Meritorious Performance, Dartmouth College Nov 2013
Relevant Coursework: Microprocessors in Engineering Systems; Power Electronics; Analog and Digital Design; Distributed Systems
Flathead Valley Community College, Kalispell MT 2010-2012
Associate of Science in Engineering
Concentration in Electrical Engineering
University of Colorado, Boulder CO 2001-2005
Bachelor of Arts
Major: Physical Geography
Minor: Atmospheric Science
bitstory.ai Sep 2022 - present
Hanover, NH
- Founder & CEO of a data-software company for designing, deploying, and automating Machine Learning and Artificial Intelligence technologies.
Simbex LLC Jan 2020 - Sep 2022
Lebanon, NH
- Lead algorithm engineer of wearable technologies and physiological monitoring.
- Working with clients to translate their product vision into technical requirements and features.
- Digital architect for real-time processing applications on resource-contstrained devices.
- Leveraging machine learning (ML) algorithms to classify physiological behavior.
- Deploying Machine Learning applications (MLops) into the cloud and on embedded devices
- Automating development pipelines (unit tests, CICD, etc.) for high-quality, continuous deployment.
- Full stack algorithm development using Python for algorithm development and then translating algorithm to embedded-C on a wearable, wirless device.
- Extensive background in low-power, wireless communication (BLE)
Blockchain Engineer at EOS Sweden Jun 2019 - Nov 2019
Stockholm, Sweden (Remote Work)
- On-line collaboration to develop a global payment system based on EOS.IO blockchain software.
- Applied Cryptography and Big Data Analytics
- https://eossweden.org
Ph.D. Candidate and Researcher Sep. 2014 - June 2019
Thayer School of Engineering at Dartmouth College, Hanover, NH
- Collaborating with Dartmouth's Computer Science Department, Clemson University, and the Center of Technology and Behavior Health to translate digital health technologies into real-world applications.
- Developing analog and quasi-digital instrumentation for ultra-low power biomedical sensors.
- Specializing in digital signal processing on low-resource embedded devices.
- Applying full-stack computer engineering methods to measure, record, visualize, and analyze biomedical data.
- Characterizing of sensor performance using statistical analysis.
Quasi-Digital Sensor Design Jun 2019
Low-Resource EDA Sensor Fabrication
- First development of a wearable, long-term physiological recorder based on a single 16-bit microcontroller
- Implemented a multi-level wavelet transformation of the EDA signal
- Applied real-time signal compression on-board a 16-bit MCU
Cook Engineering Design Fellow Jun 2014 – Sep 2014
Thayer School of Engineering at Dartmouth College, Hanover, NH
- Recruited engineering projects from industry professionals by matching workplace problems with relevant student talent.
- Defined scope and breath engineering projects for ENGS 89/90 program.
- https://engineering.dartmouth.edu/cook/
Energy Analyst Intern Jun 2013 - Sep 2013
Energy Program Office at Dartmouth College, Hanover, NH
- Created tools to automate analytics for industrial-scale HVAC data sets to pinpoint inefficient processes.
- Constructed and tested efficient collection regimes for large-scale data sets.
- Communicated results to team leader and presented recommendations at weekly meetings with colleagues.
Owner Sep 2006 -- May 2012
Pope Custom Construction
General Contracting, Whitefish, MT
- Managed, supervised and constructed numerous multi-million dollar homes
- Coordinated tradesman across multiple stages of the building process
C
12 yrs experienced in embedded C
Ultra-Low Power Embedded Applications
Embedded Machine Learning Applications
Data Compression
Wavelet Transformations
Kalman Filters
IIR, FIR Filters
Fast Fouier Transforms
Wireless Communication (BLE, Zigbee)
Real-Time Processing
Advanced Digital Signal Processing
Object-oriented programming in C
Injected Dependencies
Test-Driven Design via Unity Test Suite
Physiological Instumentation Design (GSR, PPG, ECG, BP)
Long-Range Wireless Applications BLE 5.0 (150m+)
Event-Driven Design
Python
7 years experience
Data Visualization (Matplotlib, Seaborn)
Algorithm Design
Machine Learning (Scikit-Learn, Keras)
Data Collection, ETL
Automation and Scripting
Package Management (pyenv)
Unit Testing (unittest)
Wrapping & Testing Applications Written in C
Object-Oriented Programming
AWS Lambda Functions
Linux
7 years experience
Ubuntu Desktop
Ubuntu Server
Debian (RaspberryPi)
Bash
12 years experience
Scripting and Automation
Docker
4 years experience
Containerizing Applications
Infastructure-as-Code
Modular Application Design
CI/CD
MATLAB
9 years experience
Data Processing
Data Visualization
Algorithm Design
Altium
3 years experience
Printed Circuit Board Design
Patent Pending Aug 2018
``A micro-recording device for physiological signals"
Inventors: Halter, R.J., Pope, G.C.
Application Number: US17/270,971
Publication number: US20210251574A1
Research Funding Oct 2016
National Science Foundation, Computer and Network Systems
Award Number: CNS-1619970 - Award Amount: $815,840.00 - PI(s): Halter/Kotz
Research Funding Oct 2014
National Science Foundation, Computer and Network Systems
Award Number: CNS-1314281 & Award Amount: $1,009,430.00
Award Number: CNS-1314281 - Award Amount: $1,009,430.00 - PI(s): Halter/Kotz
Fundamentals of Engineering Exam May 2014
National Council of Examiners for Engineering and Surveying, Concord, NH
Certification Link
Silvertree 2021-present
- Designed a Fall-Detection Algorithm for aging adults leveraging an embedded machine learning application within the an IMU (LSM6DSOX)
- Designed the experiemtal designs for algorithm development and verification
- Leveraged wireless BLE communication using Nordic Semiconductor's BLE SoC (nRF52840)
- Embedded ML algorithm withing STmicro's LSM6DSOX for ultra low-power operation
- Silvertree
Medrhythms 2021-present
- Designed a real-time gait cycle time analyzer measuring Toe-Off and Heel-Stride times within 30ms from raw IMU data.
- Currently designing a real-time application to measure stride length and walking velocity of stroke victims using IMU data.
- Medrhythms
OP1 2020-2021
- Designed a complete IoT product within 6 months to monitor usage of orthotic/prothetic limbs
- Designed and produced a sticker-like wearable sensor that attaches to a prothetic limb and a clinical application
- Wireless sensor (BLE) operates >6 months in the field using a single 240mAh coin-cell battery
- Leveraged Flutter software to generate a mobile, tablet, and web application using a single set of source code
- OandP1
Riddell Axiom Product 2020-2021
- Designed the protocol to network 150+ wireless devices over long-range (>100m) using the BLE 5.0 protocol.
- Axiom Helmet
Amulet Project 2014-2019
Amulet
Research and Development of Computational Jewlery for Mobile Health Applications.
Thayer School of Engineering at Dartmouth College, Hanover, NH
- Applying advanced digital signal processing techniques to enable long-term physiological monitoring on ultra-low resource microcontrollers
- Developed first long-term physiological recording device using a single 64kB microcontroller
- First to implement real-time compression of the electrodermal activity signal on an embedded system
- Instrumentation Design Experience: optical heart rate monitor (PPG), electrodermal activity sensor (EDA), 2-lead ECG heart rate monitor
The ICE-MITT Project
Mobile Ice-Core Cooling System Summer 2014
Thayer School of Engineering at Dartmouth College, Hanover, NH
- Designed, constructed, and implemented a mobile, 1 kW thermoelectric cooling system for the `transportation of ice cores from Barrow, AK to Hanover, NH.
- Developed cooling system was first to transport arctic sea ice at original temperatures.
- https://engineering.dartmouth.edu/magazine/dartmouth-engineers-develop-new-device-for-climate-change-research/
Hypertherm Sustainability Project Sept. 2013 - March 2014
Thayer School of Engineering at Dartmouth College, Hanover, NH
21 Great Hollow Road, Hypertherm Inc., Lebanon, NH
- Worked in a team of 4 to assess the feasibility of a bio-fuel based commercial boiler to replace `a 2.2 MMBtu/hr diesel system.
- Provided automated calculator for alternative commercial heating systems using sustainable fuels.
- Presented findings and recommendations to board members (implemented: June 2015).
- https://engineering.dartmouth.edu/cook/previous/energy-environment
Pope, Gunnar Crimmin. An Ultra-Low Resource System for Electrodermal Activity Monitoring. Diss. Dartmouth College, Jun 2019.
PhD Thesis Link
G. Pope, V. Mishra, S. Lewia, B. Lowens, D. Kotz, S. Lord, and
R. Halter, An ultra-low resource wearable eda sensor using wavelet compression, in 2018 IEEE 15th International Conference on Wearable
and Implantable Body Sensor Networks (BSN), Mar 2018
Varun Mishra, Gunnar Pope, Sarah Lord, Stephanie Lewia, Byron Lowens, Kelly Caine, Sougata Sen, Ryan Halter, and David Kotz. The Case for a Commodity Hardware Solution for Stress Detection. In Workshop on Mental Health: Sensing & Intervention, pages 1717-1728, October 2018. ACM. DOI 10.1145/3267305.3267538 Oct 2018
An Ultra-Low Resource System for Electrodermal Activity Monitoring Jun 2018
G. Pope, Ph.D. Thesis Defense
Thayer School of Engineering at Dartmouth, Hanover, NH
An Ultra-Low Resource System for Electrodermal Activity Monitoring Jul 2018
G. Pope, Ph.D. Thesis Proposal
Thayer School of Engineering at Dartmouth, Hanover, NH
Designing Wearables for Behavioral Health Research: An Engineer's Perspective Apr 2017
Center for Behavior Health and Technologies, Lebanon, NH
An Ultra-Low Resource Wearable EDA Sensor Using Wavelet Compression Feb 2017
Engineering in Medicine Lecture
Thayer School of Engineering at Dartmouth, Hanover, NH
Challenges and Opportunities of Measuring Electrodermal Activity at the Wrist Oct 2016
Engineering in Medicine Lecture
Thayer School of Engineering at Dartmouth, Hanover, NH
Designing wearable, biomedical sensors for continuous stress assessment—a systems level approach Dec 2015
Engineering in Medicine Lecture
Thayer School of Engineering at Dartmouth, Hanover, NH
Dartmouth Team First to Transport Arctic Sea Ice at Original Temperature Apr 2015
A. Fiorentino, Dartmouth Engineer Magazine
Link
Dartmouth Engineers Develop New Device for Climate Change Research Sep 2014
A. Fiorentino, Dartmouth Engineer Magazine,
Link
Mentor, EOS.IO Hackathon, San Fransisco, CA Nov 2018
Ski Patrol, Storres Hill, Lebanon, NH Winter 17/18
Ski Patrol, Storres Hill, Lebanon, NH Winter 16/17
Volunteer, Formula Hybrid, SAE Collegiate Competition May 2015
Volunteer, Formula Hybrid, SAE Collegiate Competition May 2014
Contest Judge, High School Science Fair, Windsor High School Jan. 2014
Contest Judge, FIRST Lego League March 2014
Volunteer, Formula Hybrid, SAE Collegiate Competition May 2013
Judge, FIRST Lego League March 2013
Living Is Learning - Learning Is Living
Machine learning, automation, user-centered digital design, distributed computing, protocol development, blockchain technology, mentoring, ski mountaineering, free climbing, surfing, acoustic guitar, piano, water-color painting.