JORDAN PIERCE

JordanMakesMaps@gmail.com β€’ (512) 966-3635

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Jordan Patrick Pierce
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Summary

A problem solver and challenge seeker to the core, I am a goal oriented and resourceful individual who is often appreciated for having the ability to work independently with minimal oversight, and who consistently delivers as promised.

Stack

Pytorch
Ultralytics
Supervision
Sckit-*
AutoDistill
Pandas
OpenCV
Keras
Selenium
ArcGIS
PDAL
GDAL
QGIS
LASTools
Metashape
Open3D
NeRF-Studio
Windows
Linux
Azure
Git

Education

Ph.D. Student in Computer Science

UCSD - San Diego, CA September 2025 - Current

M.S. in Oceanography

University of New Hampshire - Durham, NH August 2018 - December 2020

Thesis:

  • Automating the Boring Stuff: A Deep Learning and Computer Vision Workflow for Coral Reef Habitat Mapping

B.S. in Geography & GIS, Oceanography

Texas A&M University - College Station, TX August 2013 - May 2016
Magna Cum Laude

Practicums:

  • Bathymetric Mapping of Playa Cocles, Costa Rica (On a College Student Budget)
  • Fabric Analysis on the Spatial Distribution of Artifacts from the Ryan-Harley Site

Coursework in Computer Science

Texas A&M University - Corpus Christi, TX September 2011 - May 2013

Professional Experience

AI Scientist

@ CSS Inc. (Contracted to NOAA)
Silver Spring, MD September 2022 - Present
  • Utilizing machine learning and computer vision algorithms to reduce the manual annotation of underwater imagery across diverse aquatic environments, from freshwater to deep benthic habitats.
  • Perform cross-functional collaboration with IT and scientists to establish and maintain code repositories at the division level.

Computer Vision / Machine Learning Engineer

@ Terradepth
Austin, TX November 2020 - June 2022
  • Spearheaded the implementation of machine learning algorithms for object detection and instance segmentation on 2D and 3D sonar data for automatic target recognition (ATR).
  • Led the efforts to create a large, well-curated dataset of ~50K labeled objects of interest within bathymetric (XYZ) sonar data.
  • Created pipelines in Python for efficient processing of large-scale, unstructured geospatial data, including downloading, wrangling, and conversion.
  • Collaborated on a small team to develop Absolute Ocean, a web-based ocean data viewing platform.

Graduate Researcher

@ The Center For Coastal And Ocean Mapping
Durham, NH August 2018 - December 2020
  • Enhanced a semantic segmentation algorithm for automated annotation of coral reef quadrat survey images, achieving 8x faster performance compared to existing state-of-the-art method.
  • Designed workflows for quantifying marine life community composition using segmented 2D images with 3D photogrammetric models.
  • Implemented computer vision algorithms to detect marine life and anomalies in benthic and backscatter imagery data.
  • Communicated research findings to diverse audiences through 3-Minute Thesis competition, online podcasts, academic conferences, and multiple publications.

Research Assistant II

@ The University of Hong Kong
Hong Kong SAR January 2018 - August 2018
  • Developed a prototype and proposal for structurally complex artificial reefs, securing USD ~200K in local government funding for a pilot study.
  • Explored 3D modeling techniques including LiDAR and Structure-from-Motion photogrammetry to quantify coral reef structural complexity.
  • Contributed to proof-of-concept deep learning algorithm using image classification to combat illicit trade of endangered species of sharks.
  • Participated in a scientific dive team, utilizing GIS and image analysis software (ImageJ, CPCe, CoralNet) to assess long-term health of outplanted coral specimens.

English Language Teacher

@ International Personnel Training Centre
Shenzhen, China February 2017 - January 2018
  • Designed and implemented ESL curriculum focused on enhancing students' public speaking and dialogue skills.
  • Delivered lectures to classes of 60 high school students, improving their English language proficiency.
  • Adapted teaching methods to accommodate diverse learning styles and language proficiency levels.

Geographic Information Systems Intern

@ The Center for the Study of the First Americans
College Station, TX August 2015 - July 2016
  • Performed spatial analysis of underwater artifacts using ArcGIS software.
  • Conducted artifact excavation, curation, and digitization using photogrammetry and LiDAR technologies.
  • Presented research findings at multiple undergraduate conferences, receiving awards for each presentation.

Hydrographic Research Intern

@ Texas A&M University, Geography Department
Puerto Viejo, Costa Rica June 2015 - July 2015
  • Led ground-truth mapping of dynamic nearshore environments using custom-made subsurface drogues equipped with GPS and Sonar.
  • Independently handled all data collection, calibration, and operation of scientific instruments for hydrographic research.
  • Created digital elevation models and 3D visualizations using ArcGIS software.

Volunteer Experience

SCUBA Diver

@ Rrreefs
San Andreas, Columbia August 2022 - September 2022
  • Engaged in an intensive coral reef restoration workshop led by Phanor Montoya-Maya, Corales de Paz - Buceo con PropΓ³sito, and the Rrreefs team. We learned techniques in coral nursery maintenance, micro-fragmentation, and outplanting to advance marine ecosystem preservation efforts.

ROV Video and Photographer Assistant

@ National Oceanic & Atmospheric Administration (NOAA)
Outside Flower Garden Banks, Gulf of Mexico June 2015 - July 2015
  • Contributed to NOAA's R/V Manta expedition, conducting comprehensive biological surveys on a decommissioned oil rig near the East Flower Garden Banks, enhancing understanding of marine biodiversity in artificial reef ecosystems.

SCUBA Teaching Assistant

@ Texas A&M University, Dive Locker
College Station, Texas August 2015 - May 2016
  • Served as a teaching assistant on a dive team under PADI instructor James Woosely, supporting student divers in obtaining their Open Water certifications. As TAs we provided in-water assistance to small groups of students during confined and open water training dives, demonstrated proper SCUBA techniques, monitored for safety, and offered corrective guidance. We also assisted with equipment setup, and helped evaluate student performance on certification requirements.

Research

Published

CoralNet-Toolbox: Human-in-the-Loop Annotation and Model Development for Benthic Imagery

J. Pierce, T. Battista, S. Sandin, and F. Kuester
OCEANS 2026 Sep. 21–24, 2026
Monterey, CA, USA
to be published

Improved Ground-Truthing and Benthic Habitat Characterization with Machine Learning Models and 3D Photogrammetry

P. A. Wernette, P. Esselman, A. Geglio, A. Galloway, S. Moradi, and J. Pierce
OCEANS 2025 – Great Lakes 2025
Chicago, IL, USA
Art. no. 11245182, doi: 10.23919/OCEANS59106.2025.11245182

Integrating Widespread Coral Reef Monitoring Tools for Managing both Area and Point Annotations

G. Pavoni, J. Pierce, C. Edwards, M. Corsini, V. Petrovic, and P. Cignoni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., vol. XLVIII-2-2024 2024
Las Vegas, NV, USA

Standard Operating Procedures for the Use of Large-Area Imaging in Tropical Shallow Water Coral Reef Monitoring, Research and Restoration: Applications for Mission: Iconic Reefs Restoration in the Florida Keys National Marine Sanctuary

S. Cook, S. Rojano, C. Edwards, M. Bollinger, J. Pierce, and T. Viehman
NOAA Tech. Memo. NOS NCCOS 320 2023
Silver Spring, MD, USA

Classifying 3-D Models of Coral Reefs Using Structure-from-Motion and Multi-View Semantic Segmentation

J. Pierce, M. J. Butler IV, Y. Rzhanov, K. Lowell, and J. A. Dijkstra
Frontiers in Marine Science, vol. 8 2021
Art. no. 706674, doi: 10.3389/fmars.2021.706674

Reducing Annotation Times: Semantic Segmentation of Coral Reef Survey Images

J. Pierce, Y. Rzhanov, K. Lowell, and J. A. Dijkstra
Global OCEANS 2020: Singapore – U.S. Gulf Coast 2020
Biloxi, MS, USA
Presented

CoralNet-Toolbox: Automation for Panoptic Segmentation of Benthic Habitat and Large Area Imagery

J. Pierce, T. Battista, S. Sandin, and F. Kuester
16th International Coral Reef Symposium (ICRS 2026), International Coral Reef Society Jul. 19–24, 2026
New Zealand International Convention Centre, Auckland, New Zealand

From in-situ to in-silico: A Brief History of Computer Vision and Coral Reef Ecology

J. Pierce and F. Kuester
Marine Robotics Seminar Series, Queensland University of Technology Jun. 29, 2026
Brisbane, QLD, Australia
Invited seminar

Deep Learning Assisted Identification of Crystal and Vesicle Populations in SEM Imagery of Submarine Volcanic Rocks

M. Shaw, J. Tomer, J. Pierce, and A. Soule
American Geophysical Union Annual Meeting (AGU25) Dec. 15–19, 2025
Ernest N. Morial Convention Center, New Orleans, LA, USA
Poster presentation, Abstract no. V41B-0060

CoralNet-Toolbox: Tools for Annotating and Developing Machine Learning Models for Benthic Imagery

J. Pierce, T. Battista, and F. Kuester
7th NOAA Workshop on Generative AI Applications in Environmental Sciences, NOAA Center for AI (NCAI) Sep. 16–17, 2025
NSF NCAR Center Green Campus, Boulder, CO, USA

Deep Cluster: Selecting Better Lakebed Images for More Accurate Habitat Mapping

J. Pierce, C. Goetsch, and B. Wade
Earth System Data Science in the Cloud (ESDS-4), North Carolina Institute for Climate Studies Spring 2025
Asheville, NC, USA
Capstone project presentation

Emerging Computer Vision Technologies: Applications for Benthic Habitat Imagery

J. Pierce
Reef Futures 2024, Coral Restoration Consortium Dec. 9–13, 2024
Iberostar Resort Complex, Riviera Maya, Mexico

Multi-View Label Classification in Viscore, TagLab, and CoralNet-Toolbox for Precise and Efficient Estimates of Coral Cover Using Large-Area Imaging Data

J. Pierce, V. Petrovic, C. Edwards, G. Pavoni, M. Corsini, T. Viehman, S. Sandin, P. Cignoni, and F. Kuester
Reef Futures 2024, Coral Restoration Consortium Dec. 9–13, 2024
Iberostar Resort Complex, Riviera Maya, Mexico

Innovative Approach to Great Lakes Benthic Mapping: Integrating AUV, ROV and Drop Camera Data with Tator

A. Mabrouk, C. Menza, C. Goetsch, L. Kline, N. Hunt, J. Pierce, K. Urquhart, K. Edwards, C. Taylor, T. Battista, and M. Taipan
5th Marine Imaging Workshop (MIW 2024), IEEE Oceanic Engineering Society Oct. 8–10, 2024
Monterey Conference Center, Monterey, CA, USA

CoralNet-Toolbox: AI and SfM for Coral Reef Imagery Analysis

J. Pierce and T. Battista
5th NOAA Workshop on Leveraging AI in Environmental Sciences, NOAA Center for AI (NCAI) Sep. 19–21, 2023
Virtual

Absolute Ocean: A Cloud-Based Platform with Automatic Detection of Targets in Sonar Data

J. Pierce, Q. Iqbal, and E. Martzial
Canadian Hydrographic Conference (CHC 2022), Canadian Hydrographic Association Jun. 6–9, 2022
Hilton Lac-Leamy, Gatineau, QC, Canada
Presented on behalf of Terradepth, Inc.

Automating the Boring Stuff: A Deep Learning and Computer Vision Workflow for Coral Reef Habitat Mapping

J. Pierce, Y. Rzhanov, K. Lowell, M. J. Butler IV, and J. A. Dijkstra
Graduate Research Conference, University of New Hampshire Graduate School Apr. 2020
Durham, NH, USA
Oral presentation

Coral Reef Restoration – Is It Viable for Hong Kong?

D. M. Baker, V. Yu, J. Pierce, and V. Sheng
2nd International Workshop on Eco-Shoreline Designs for Sustainable Coastal Development, School of Biological Sciences, The University of Hong Kong 2018
Hong Kong SAR, China

A Preliminary Fabric Analysis on the Spatial Distribution of Artifacts from the Ryan-Harley Site (8JE1004)

J. Pierce and M. Smith
19th Annual Student Research Week, Texas A&M University Mar. 28 – Apr. 1, 2016
Memorial Student Center, College Station, TX, USA
Poster presentation — 2nd Place, Undergraduate Division

Other Media Appearances

Hope for the best, prepare for the worst: what can we learn by monitoring coral bleaching impacts?

Panelist Discussion
Coral Restoration Consortium May, 2025

For a Bit of Relief, Check out this Coral Reef!

Podcast Hosted by Kaitlin Van Volkom and Isaiah, Ft. Jordan Pierce
You, Me & the Sea October, 2020

Image Annotation, Machine Learning & AI

Podcast Hosted by Andrew Cogswell and Catalina Gomez, Ft. Jordan Pierce
Fisheries and Oceans Canada (DFO) September, 2020

Automating the Boring Stuff: Using A.I. to Map Coral Reefs

J. Pierce
3-Minute Thesis Competition (3MT), University of New Hampshire Graduate School Apr. 2020
Durham, NH, USA (Virtual)
Oral presentation — 1st Place, Practice and Final Rounds

Advisees

Kira Kaplan - Smith College

@ NOAA Headquarters - Silver Spring, Maryland
May - July 2024

Xander Swann - Middlebury College

@ NOAA Headquarters - Silver Spring, Maryland
June - August 2024

Ganesh Kumarappan - UCSD

@ Virtual Student Federal Service (VSFS) Internship
September - December 2024

Lilian Nessen - College of Charleston

@ NCCOS Hollings Marine Laboratory - Charleston, South Carolina
January - April 2025

Rafael Del Valle - College of Charleston

@ NCCOS Hollings Marine Laboratory - Charleston, South Carolina
April - June 2025

Honors

NSF Graduate Research Fellow

@ National Science Foundation Graduate Research Fellowship (NSF GRFP)
Issued Aug 2025
Associated with UC San Diego

Graduate Research Competition

@ OCEANS 2020 Conference
Awarded 1st Place πŸ₯‡
Norman Miller Prize πŸŽ“

3-Minute Thesis Competition

@ University of New Hampshire
Awarded 1st Place πŸ₯‡

Graduate Scholarship

@ Center for Coastal and Ocean Mapping
Fully-funded πŸŽ“

Undergraduate Research Week

@ Texas A&M University
Awarded 2nd Place πŸ₯ˆ

Undergraduate Research Week

@ Texas A&M University, Anthropology Department
Awarded 2nd Place πŸ₯ˆ

Frontiers in Underwater Technology

@ Society for Underwater Technology
Awarded 3rd Place πŸ₯‰

Undergraduate Scholarship

@ Texas A&M University, College of Geosciences
Recipient πŸŽ“

Undergraduate Scholarship

@ George & Barbara Bush Foundation
Recipient πŸŽ“

Workshops

Earth System Data Science in the Cloud
North Carolina Institute for Climate Studies - Asheville, North Carolina Spring 2025
Synthetic Aperture Sonar Short Course
PSU Applied Research Lab - University Park, Pennsylvania July 2024
Open Hackathon
National Center for Atmospheric Research - Boulder, Colorado March 2023
OceanHackWeek
University of Washington - Seattle, Washington August 2019

Certifications

PADI Open Water Diver
PADI Advanced Diver
PADI Rescue Diver
NAUI Master Diver
SSI Nitrox Diver
AAUS Scientific Diver
NSS Cavern Diver
Red Cross Lifeguard