Matthew Szydagis

Overview

Matthew Szydagis is an Associate Professor of Physics at the University at Albany whose principal conventional research concerns experimental astroparticle physics, detector development and direct searches for dark matter. He is a member of the LUX-ZEPLIN (LZ) collaboration and created the Noble Element Simulation Technique (NEST), software used to model the response of noble-element particle detectors. UAlbany also lists unidentified anomalous phenomena among his current research interests. [S1]

Within UAP research, Szydagis is particularly important because his contribution is centred on instrumentation, false-positive rejection and analysis rather than on a long history of extraordinary claims.

He led the peer-reviewed publication of the first UAPx field expedition, which deployed visible and infrared cameras, weather-radar information, radiation detectors and analytical software during a 2021 expedition in California. The study plausibly explained most candidate anomalies and reported one unresolved ambiguity while explicitly stating that it had not found evidence connecting UAP to non-human intelligence. [S2][S3]

In 2026, Avi Loeb publicly named Szydagis to the UAP Science Advisory Council with responsibility for instrumentation and data collection. [S4][S5]

His profile therefore provides a useful example of how experimental particle-physics methods—background rejection, calibration, coincidence detection and explicit uncertainty—can inform UAP research.

Experimental-physics background

UAlbany records that Szydagis earned his PhD from the University of Chicago in 2010 and subsequently worked as a postdoctoral associate at the University of California, Davis before joining the UAlbany physics faculty. [S1]

His primary research is direct dark-matter detection.

The LZ experiment operates deep underground at the Sanford Underground Research Facility in South Dakota. Its detector is designed to identify very rare particle interactions while rejecting a much larger background of ordinary events. [S1][S6]

This research environment is highly relevant to the methodological problem of UAP.

A dark-matter detector cannot treat every unusual signal as evidence of a new particle. Researchers must understand detector response, calibrate known backgrounds, simulate alternative sources and test whether a signal survives increasingly stringent rejection criteria.

UAP instrumentation faces an analogous problem at a different scale.

Cameras and radar systems constantly record aircraft, birds, satellites, meteors, insects, lens artefacts, weather and electronic noise. A scientifically useful UAP programme must therefore be at least as interested in eliminating false positives as it is in identifying unusual candidates.

NEST and detector modelling

Szydagis created NEST in 2011 to model the response of noble elements such as xenon and argon to particle interactions. UAlbany describes the package as publicly available software used by the broader scientific community and notes its importance to rare-event searches such as LZ. [S1][S6]

The relevance to UAP research is conceptual rather than direct.

NEST is not a UAP detector. Its significance is that Szydagis's conventional work is built around understanding instrument response well enough to distinguish a weak signal from background and artefact.

This is a useful discipline in UAP analysis because many extraordinary-looking images are ultimately questions about the sensor rather than the external object.

A frame may contain a real stimulus while still misrepresenting its shape, temperature or motion because of optical, electronic or processing effects.

The 2021 UAPx expedition

In July 2021, Szydagis joined Kevin Knuth, Cecilia Levy, Benjamin Kugielsky and other collaborators during a week-long UAPx field expedition around Catalina Island and Laguna Beach, California. [S2][S3]

The team deployed multiple forms of instrumentation, including visible-light and infrared cameras, weather-radar data and Cosmic Watch radiation detectors.

The goal was not simply to record unusual videos.

The researchers attempted to build a framework in which observations could be cross-checked against multiple channels, known astronomical targets and environmental information.

This was a significant methodological departure from historical case research. Instead of attempting to reconstruct an event years after it occurred, the field team knew where the instruments were, what they were designed to measure and when the observations were made.

The 2025 peer-reviewed paper

The team's paper, "Initial Results From the First Field Expedition of UAPx to Study Unidentified Anomalous Phenomena," was published in Progress in Aerospace Sciences in 2025 after earlier preprint versions. [S2]

Szydagis was lead author.

UAlbany's accompanying summary is notable for its restraint. The researchers reported that they plausibly explained all but one of the potential anomalies detected in the data. Known objects, including the International Space Station, could be identified or excluded using timing, trigonometry and external information. [S3]

The remaining ambiguous observation involved bright white dots within a dark region present in multiple videos.

The team did not report this as a confirmed extraordinary object.

Szydagis explicitly stated that they had not found evidence indicating that UAP were connected to non-human intelligence. [S3]

This is an important scientific result because a strong detection pipeline must produce negative classifications as well as candidate anomalies.

C-TAP and image analysis

Szydagis and colleagues developed analytical software described by UAlbany as the Custom Target Analysis Protocol (C-TAP). The system examined infrared imagery frame by frame and pixel by pixel and combined automated analysis with human verification. [S3]

The purpose was to identify candidate targets while distinguishing them from digital noise and known objects.

This type of pipeline is important because manual inspection of imagery can create strong selection effects. Researchers naturally notice frames that look unusual while ignoring the much larger volume of ordinary observations.

Automated or semi-automated detection allows criteria to be defined before interpretation.

However, machine learning or image analysis is only as reliable as its training, calibration, thresholds and validation.

An algorithm flagging an anomaly means that a detection differs from the patterns encoded in the system. It does not by itself establish an anomalous physical object.

Coincidence detection

The field programme also emphasised coincidence between sensors.

If an event appears simultaneously in independent cameras, radiation detectors or external radar, the probability that it is merely a fault in one instrument can decrease.

This principle is central in particle physics, where coincident signals can help reject background events.

In UAP research, coincidence is particularly valuable because single-sensor ambiguity is common.

An infrared-camera artefact may not appear in a visible camera. A physical aircraft should generally have predictable relations among visual, infrared, acoustic or radar measurements depending on geometry and sensor sensitivity.

Even multisensor coincidence does not automatically prove extraordinary origin. It strengthens the case that a real external event occurred and provides more parameters with which to identify it.

Limits demonstrated by the field expedition

The UAPx expedition also exposed practical problems.

Short field deployments can produce huge amounts of data without necessarily encountering the phenomenon researchers hope to observe. Instrument alignment, calibration, environmental interference and incomplete sensor overlap can limit what is recoverable.

The 2025 paper explicitly discusses successes and failures and offers lessons for future expeditions. [S2]

That self-critical dimension is important.

A credible UAP research programme should publish null results, calibration failures and false-positive rates rather than only unusual images.

Otherwise, researchers and the public cannot know whether a claimed anomaly is exceptional within the total dataset or simply the most interesting frame selected from a large volume of noise.

UAlbany research endowment

In November 2025, UAlbany announced a major endowment to support continuing scientific UAP research involving Szydagis, Knuth and Cecilia Levy. The university described the goal as developing rigorous and repeatable methods for detection and analysis. [S7]

This funding provides a more stable institutional basis for work that began through a short field expedition.

The 2021 expedition had been funded by documentary producer Caroline Cory for work connected with A Tear in the Sky. UAlbany disclosed that funding relationship in its 2025 reporting. [S3]

The distinction is worth preserving.

Commercial or documentary funding does not invalidate scientific work, but transparent funding provenance allows readers to assess possible incentives and research independence.

The subsequent university endowment may allow longer-duration monitoring and more controlled methodological development.

UAP Science Advisory Council

In June 2026, Avi Loeb publicly listed Szydagis as a member of the new UAP Science Advisory Council, assigning him responsibility in "instrumentation and data collection." [S4][S5]

This role closely matches his established experimental background.

Unlike a council member whose UAP profile begins with an appointment, Szydagis had already led peer-reviewed UAP instrumentation research before the council formed.

That makes the appointment relevant but not foundational.

The council's scientific value remains dependent on the quality of data made available to it and whether its methods and findings are published in a form that can be independently reviewed.

UAPRAD's own governance assessment correctly treats these as unresolved credibility tests rather than assuming that a prestigious roster guarantees scientific output. [S8]

Relationship to non-human hypotheses

Szydagis's public scientific position is notably more restrained than some participants in the wider UAP debate.

The UAlbany 2025 release quotes him stating that the expedition did not find evidence indicating that UAP were related to non-human intelligence. [S3]

This does not mean he concluded that all UAP are conventional.

It means the field dataset did not support that stronger inference.

This distinction is useful for UAPRAD because it demonstrates how a researcher can investigate UAP seriously without treating non-human origin as the default explanation.

Dark-matter analogy and caution

It is tempting to compare UAP science directly with the search for dark matter because Szydagis works in both areas.

The analogy has value but limits.

Dark matter is supported by multiple independent astrophysical observations even though the particle itself has not been directly identified. UAP, by contrast, is an observational classification covering heterogeneous events.

The useful transferable method is not the evidential status of dark matter but the experimental discipline of rare-event searches:

• understand detector response;
• characterise known backgrounds;
• preserve raw data;
• use blinded or predefined analysis where possible;
• report false positives;
• require statistical and instrumental consistency before claiming a new phenomenon.

These practices are more important than superficial comparison between two "mysteries".

Evidence analysis

Szydagis is one of the stronger candidates for inclusion because his UAP-specific work can be evaluated through a peer-reviewed methods paper and institutional documentation.

The key scientific strength is prospective data collection.

The strongest limitation is that the first expedition did not produce a fully characterised anomalous event. That is not a failure of the scientific approach. It means the evidence did not support a stronger conclusion.

His conventional expertise in rare-event detection makes him particularly relevant to false-positive control and instrumentation.

The future value of his work will depend on whether continuing UAlbany and UAPSAC projects can produce long-duration observations with calibrated multisensor coverage and open analytical protocols.

What is established

• Szydagis is an experimental physicist at UAlbany whose primary research includes LZ dark-matter detection and detector modelling. [S1]
• He created the NEST detector-simulation framework. [S1][S6]
• UAlbany currently lists UAP among his research interests. [S1]
• He led the peer-reviewed 2025 publication of the 2021 UAPx field expedition. [S2]
• The expedition used multiple instruments and attempted systematic false-positive rejection. [S2][S3]
• Most candidate anomalies were plausibly explained; one remained ambiguous. [S3]
• The researchers did not report evidence for non-human intelligence. [S3]
• UAlbany established continuing funded UAP research in 2025. [S7]
• Szydagis was publicly named to UAPSAC with instrumentation/data-collection expertise in 2026. [S4][S5]

What is not established

• The remaining UAPx ambiguity is not a confirmed anomalous craft.
• Automated image detection does not convert a sensor anomaly into proof of a new physical phenomenon.
• Radiation detectors deployed during an expedition do not establish a UAP-radiation association unless a statistically and instrumentally valid correlation is demonstrated.
• Szydagis's dark-matter expertise does not imply that UAP and dark matter have comparable evidential foundations.
• UAPSAC membership does not itself establish access to decisive classified evidence.
• The first field expedition did not determine the general nature or origin of UAP.

Missing or unavailable evidence

The most valuable future evidence would come from longer-duration monitoring with well-calibrated overlapping sensors and complete metadata.

For any candidate anomaly, the dataset should preserve:

• time synchronisation;
• sensor orientation;
• field of view;
• range where recoverable;
• visible and infrared imagery;
• environmental conditions;
• radar or independent tracking;
• instrument calibration;
• complete negative-control and false-positive statistics.

Without those elements, image-processing sophistication can still leave the central physical question unresolved.

Overall assessment

Matthew Szydagis is important to the emerging scientific UAP field because his work concentrates on an often-neglected question: how do researchers know that an apparent anomaly is not a detector, software or background problem?

His conventional career in rare-event particle detection provides a strong methodological foundation for that problem.

The 2021 UAPx expedition and 2025 paper are useful not because they discovered extraordinary technology, but because they demonstrated a process for rejecting ordinary candidates and reporting an unresolved remainder without overstating it.

That is scientifically healthier than beginning with a compelling video and attempting to explain it retrospectively.

Szydagis's UAPSAC appointment is therefore a logical extension of his existing work. Instrumentation and data collection are precisely the areas in which the modern UAP evidence base remains weakest.

For UAPRAD, his significance should be assessed by methods and outputs rather than by council membership. If future UAlbany or UAPSAC projects produce calibrated, reproducible multisensor data, his role may become substantially more important. At present, his strongest contribution is helping define what a scientifically adequate detection pipeline should look like.

Confidence by proposition

Sources

[S1] Primary institutional source — University at Albany. Matthew Szydagis faculty profile. https://www.albany.edu/physics/faculty/matthew-szydagis

[S2] Peer-reviewed research — Matthew Szydagis, Kevin H. Knuth, Benjamin W. Kugielsky and Cecilia Levy. "Initial Results From the First Field Expedition of UAPx to Study Unidentified Anomalous Phenomena," Progress in Aerospace Sciences 156, 101099 (2025). https://doi.org/10.48550/arXiv.2312.00558

[S3] Primary institutional summary — University at Albany. "UAlbany Physicists Test Scientific Approach to UAP Research," 4 June 2025. https://www.albany.edu/news-center/news/2025-ualbany-physicists-test-scientific-approach-uap-research

[S4] First-person council announcement — Avi Loeb. "A UAP Science Advisory Council to the U.S.," June 2026. https://avi-loeb.medium.com/a-uap-science-advisory-council-to-the-u-s-f7262e57b0df

[S5] First-person council roster — Avi Loeb. "More Details on the UAP Science Advisory Council," June 2026. https://avi-loeb.medium.com/more-details-on-the-uap-science-advisory-council-825bd250d23c

[S6] Primary institutional research context — University at Albany. Dark Matter Research Group and 2026 LZ reporting. https://www.albany.edu/physics/dark-matter-research-group https://www.albany.edu/news-center/news/2026-ualbany-physicists-study-unexplained-signal-dark-matter-search

[S7] Primary institutional source — University at Albany. "UAlbany Receives Major Gift to Advance Scientific Research on Unidentified Aerial Phenomena," November 2025. https://www.albany.edu/news-center/news/2025-ualbany-receives-major-gift-advance-scientific-research-unidentified-aerial

[S8] Internal cross-check — UAPRAD (not independent evidence). 2026 governance and UAP Science Advisory Council. Use the current English canonical route in the repository during integration. https://uaprad.org/public-record