Thomas Lund
Mendota Heights, MN | 7638987966 | thomaslund5897@gmail.com
Research Interests
My main research interests are in developing experimental methods and precision measurement
techniques for observational astronomy. My work thus far has included improving calibration
methodologies for extreme-precision stellar spectroscopy and building data pipelines for sensors
across astronomy, particle physics, and bio-imaging.
Research History
Research Assistant
Advisor: Prof. Ryan Terrien,
Carleton College, Northfield, MN | January 2023 - Current
- Characterize temporal and chromatic instrument drift in the NEID extreme-precision radial
velocity experiment, including long-term behavior of photonic calibration sources over the
instrument’s five-year operational period.
- Developed and integrated new calibration algorithms, working with the data reduction
pipeline to improve precision and stability in spectroscopic measurements.
- Designed and implemented a framework for processing, decimating, and storing large-scale
spectral datasets in HDF5 format, enabling efficient archival and high-throughput analysis.
REU Researcher
Advisor: Prof. Richard Gran,
University of Minnesota Duluth, MN | January 2026 - September 2026
- Fitted existing, and created novel, neutrino cross section parameters to increase the accuracy of neutrino modeling
- Developed and evaluated simulation-based corrections addressing detector response and
sensor-related systematic effects.
- Provided a list of parameters, and additional effects which can be used for future works like DUNE for accurate simulation.
Researcher
Advisor: Dr. Jan Mulder
Karolinska Institutet, Sweden | August 2025 - January 2026
- Developed a computational pipeline for processing volumetric 3D microscopy datasets,
including object segmentation and volume reconstruction for downstream biological analysis.
- Implemented instrumental correction methods, including PSF deconvolution and sensor
dark-frame calibration.
- Applied both statistical and machine learning approaches for automated segmentation of
complex biological structures.
Education
B.A. In Physics, Computer Science - Expected June 2027
Carleton College, Northfield, MN
High School - June 2023
Saint Thomas Academy, Mendota Heights, MN
Research products and selected software
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SpecCorrect — NEID Spectral Calibration Pipeline.
Research software package for processing and correcting high-resolution
spectroscopic data from the NEID instrument. Developed calibration and
data-processing methods for precision radial velocity analysis.
GitHub: https://github.com/Thomaslund1/SpecCorrect
-
DisMlFinal — TESS Machine Learning Classification Pipeline.
Machine-learning framework for identifying exoplanet candidates from TESS data,
achieving over 94% accuracy on the validation dataset.
GitHub: https://github.com/Thomaslund1/DisMlFinal
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Volumetric Imaging and Segmentation of Cardiac Structures.
Manuscript draft describing computational methods for processing, segmenting, and
reconstructing volumetric microscopy data.
https://thomaslund.net/static/heartScanPaper.pdf
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NEID Instrument Drift Analysis
Manuscript in preparation.
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Assumptionless Calibration Verification for NEID, first author
Manuscript in preparation.
Teaching, Mentoring, and Outreach
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Astronomy Assistant: Teaching, lab assisting and grading for lab-based astronomy
courses | 3 years
-
Astronomy Club President: Leading outreach to the community, including maintaining
and using the historic 16” Brashear telescope at Goodsell Observatory | 3 years
-
Physics Lab Assistant: Teaching and helping with lab practice for a variety of
undergraduate physics courses | 3 years
Physics Grader: Grading and distributing detailed feedback to undergraduate physics students | 3 years
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Theatre Technician: Using a variety of shop tools and physics techniques to design,
engineer, and build both set pieces and electronic systems for local and Broadway
shows | 9 years
Skills
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Programming: Python, Java, C++, Root, HTML, JavaScript
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Data and Computing: Database design and management, cloud computing,
distributed computing, large-scale data processing, Machine Learning methods
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Astronomical Instrumentation: Observatory operations, instrument maintenance,
spectroscopic calibration methods, detector characterization
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Research Methods: Experimental design, scientific documentation, data analysis, technical
communication
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Engineering and Design: CAD (Fusion suite, Onshape), Signal electronics design, LTSpice
simulation, soldering and basic fabrication.