Nathaniel Tagg
Westerville, OH | 614.602.7287 | nathaniel.tagg@gmail.com
Data Scientist and
Physicist
Programming
| Statistics | Mathematics | Data Analysis
è Co-recipient of 2016
Breakthrough Prize in Fundamental Physics
è >100 scientific papers
published in peer-reviewed journals
è https://github.com/nathanieltagg
SKILLS
Technical: Data visualization via web-based and 3d technologies, UNIX systems
and sysadmin, web technology (full stack), data acquisition, data monitoring,
Git/Subversion/CVS, Google/Azure APIs. AWS. SSH. Grid computing. ROOT. Database
access and table design (MySQL, Postgres, SQLite, MongoDB), parallel
processing. Expert with Monte-Carlo simulations. Hardware: Expert on
photomultiplier and related optical sensors, scintillators, liquid argon time
projection chambers, radiation counters, basic analog/digital circuits, and microprocessors.
Programming: Expert in C/C++, JavaScript, HTML/CSS, Python, Perl, bash,
FORTRAN.
Scientific: Particle physics. Understanding of statistics and data analysis of
large data sets (particularly multivariate fits and uncertainty estimation),
detector calibration, data reconstruction, blind analysis techniques,
successful grant writing, and technical writing.
Interpersonal: Years of experience mentoring, teaching, advising, collaborating
long-distance, and leading groups within large multinational scientific
collaborations.
CAREER SUMMARY
Senior
Robotics Software Engineer, Mobile Industrial Robots, North Reading, MA Oct
2021 – present
·
Server Software team, resolving issues with first generation AutoGuide product software, and also took on DevOps support
roles. (2021-2022)
·
Authored obstacle detection stack for Gen-2 tugger system with 3D
LiDAR, ToF cameras, and stereo cameras. (2022)
·
Lead data scientist and programmer on Data Engineering team
responsible for generating high-quaility truth data
to train ML. Built software and hardware
to use a Motion Capture System to annotate RGB camera images with truth
information to pixel-level accuracy. Worked with ROS, IceORYX,
GRPC, Realsense cameras, and Motive software. Worked in C++, python, and javascript.
(2022-present)
Data Engineer, FORD MOTOR
COMPANY, Dearborne MI (Remote) July
2021 – Oct 2021
§ Database
load/transform/extract with Hive+Hadoop
high-performance computing cluster to manage data flow for data analytics. Used
Alteryx, pyspark and other tools to
validate data.
Software Developer, UNIVERSITY OF WISCONSIN, Madison, WI (Remote) 2021
§ Development of full-stack
database interface software for DUNE experiment construction and QA databases
Professor
of Physics,
Otterbein University, Westerville, OH 2008-2021
Roles: Professor, 2019-March
2021; Associate Prof., 2013-2019; Dept. Chair, 2014-2018; Assistant Prof.
2008-2013
Key
responsibilities: Completed
all teaching and mentoring duties associated with being a full-time tenured
professor while also carrying out an ambitious research agenda that involved
collaborating with hundreds of scientists remotely.
Key
personal accomplishments:
§ Earned promotion to full
professor 2 years early; earned tenure 2 years early.
§ Secured continuous funding
from the National Science Foundation, with each of my 4 grants being successful
on their first application. This funding supported myself and my students.
§ Concurrently served as
Department Chair for 4 years. Handled issues external to the department,
managed the departmental budget, planned course schedules, and overhauled the
curriculum.
§ Wrote educational
software that facilitated rapid-feedback assessment and grade distribution.
§ Built a web application that
allowed for easy navigation of course and student-level academic data. Widely lauded
as an important tool by administrators and faculty for advising and scheduling.
Key
research accomplishments (most involving collaborations with 100+ scientists
and training undergraduate students):
§ Proactively identified
issues and needs for quality data-taking and rapidly created solutions.
§ Constructed tools for
data extraction and organization that ensured reliable data operations with
large detectors taking physics data.
§ Developed web-based data
visualization tools that offered fast and intuitive access to data and
simulations; tools are used by researchers and for outreach/education.
—Please keep reading for
additional project highlights and achievements—
PRIOR SCIENTIFIC EXPERIENCE
Visiting
Scientist, Tufts
University,
Middlesex County, MA, 2005-2008
§ Led and coordinated the Calibration
Group for the MINOS experiment, consisting of ~10
postdocs and grad students. Wrote the software platform to incorporate 8
different data studies into the same framework.
Research
Assistant, Brookhaven
National Laboratory,
Upton, NY, 2006-2008
§ Contributed to early
design conversations for the Daya Bay experiment and adapted database
software.
Postdoctoral
Research Assistant, Oxford
University,
Oxford, UK, 2001-2005
§ Constructed and
integrated systems on the international MINOS experiment and published results.
Education AND
Professional Development
Ph.D.
Physics, University
of Guelph, Ontario,
Canada, 2001
§ Completed a thesis on the
Sudbury Neutrino Observatory, an experiment that won the 2015 Nobel Prize.
M.Sc., Physics, University of Guelph, 1996
B.Sc., Physics, University of Lethbridge, Alberta, Canada, 1993
“Machine
Learning” (course via Coursera.org), Stanford University, 2021
SELECTED PROJECTS (solo developer or team
lead)
Motion
Capture System To Annotate ML Training Data
(2022-20223): I
developed and built a system that could use an OptiTrack
motion capture system to track the pose of both camera and subject, and
developed methods to calibrate, and map them so that the subjects could be
annotated in the camera view in real time to pixel-level accuracy. Impact: System was used to generate
and validate >500k images used to train an ML pose estimate model; this
allowed our robot to successfully dock with pallets.
Construction
database application (2020-2021): Authored a web application and RESTful interface
for storing data related to DUNE experiment construction, including QA, QC,
inventory, component relationships, checklists, and work instructions. Impact:
Team adopted my solution rather than invest in $70K work instruction software.
Online
monitoring tool (2013-present): Authored a system to continuously sample and
monitor
from
the MicroBooNE data stream, providing interactive graphic display of
high-volume data; tens of thousands of plots updated in real-time. Impact: Sole
on-call support for this system, which had > 99% uptime 24/7 for 6 years.
Physics
simulations for education (2013-2021): Wrote several JavaScript-based websites for teaching
various
physics properties including a dynamic, responsive system for diagramming
electric field lines in 2D, an animated EM wave, a simulation of linear
polarizers, and a full 2D wave simulation by differential equations that runs
via WebGL on the client GPU. Impact: Tools are publicly available; used
in all Otterbein physics courses.
WebGL
event display visualization for imaging detectors (2013-2019): Authored a web
application for visualizing neutrino data from high-resolution liquid argon
time projection chambers. Impact: The app is used for data monitoring,
education, outreach, and reconstruction evaluation.
Web-based
event visualization (2008-2013): Authored script-based web application that used a
C++ backend to serve data from the distributed storage system to a
browser-based event viewer, allowing users to see live or reconstructed data
from the MINERvA experiment. Impact: Allowed difficult analyses to be
done easily and was used to create every event image ever published by the
experiment. Tool still in heavy use by outreach groups.
TAKEAWAY
Comfortable
working with teams and in large collaborations, I use software to simulate,
calibrate, control, and acquire data from hardware (such as massive, complex
particle detectors). I am expert with data analysis, data acquisition,
databases, and visualization. I have created everything from hardware
interfaces to web applications, both close-to-the-metal resource-intense
computing and high-level GUIs. Adept at mastering new systems and technologies,
I learn quickly, am an expert teacher and presenter, and excel at engaging all
kinds of audiences.