About

Benjamin Chapman is the Department Head and a Professor at NC State University within the College of Agriculture and Life Sciences, Agricultural and Human Sciences. His role involves leading the department and contributing to research and education in his field. The page indicates his position and contact information but does not provide specific details about his research focus, background, or key contributions.

Research topics

• Food science
• Business
• Mathematics
• Biology
• Engineering
• Environmental health
• Medicine
• Marketing
• Advertising
• Quantum mechanics
• Medical education
• Biotechnology
• Risk analysis (engineering)
• Ecology
• Psychology
• Physics
• Virology
• Chemistry

Selected publications

• P-414. From Anecdotal to Analytical: Correlating Self-Reported <i>Norovirus</i>-Like Illness with Epidemiological Data

  Open Forum Infectious Diseases · 2025-01-29

  articleOpen access

  Abstract Background Human norovirus is a leading cause of foodborne illness globally, with hallmark symptoms of vomiting and diarrhea. The Norovirus Sentinel Testing and Tracking (NoroSTAT) network is a collaborative network of select U.S. state public health departments and the U.S. CDC, designed to collect epidemiologic and laboratory data on suspected or confirmed norovirus outbreaks. The global crowdsourcing website Iwaspoisoned.com (IWP), established in 2009, provides a means by which the public can self-report foodborne disease-like symptoms in real-time, world-wide. The value of crowdsourced data in relation, or complementary, to classic epidemiologic approaches, is largely unknown. This study aims to investigate correlations between self-reported norovirus-like illness from IWP and norovirus epidemiological data from NoroSTAT. Methods The analysis was limited to reports between August, 2018 and May, 2022. NoroSTAT data were obtained from their website and internet archives. Data was extracted directly from the IWP database, with the following inclusion criteria: (i) symptoms of both vomiting and diarrhea reported together (used as a proxy for norovirus-like illness); and (ii) reports originating from a NoroSTAT-participating state. Reports were excluded if spam or duplicate. Associations were investigated using Pearson Correlation and Granger Causality tests using the Minitab (State College, PA) software package. Results The Pearson Correlation value of 0.669 was highly significant (p&amp;lt; 0.001), indicating a strong linear relationship between IWP and NoroSTAT dataset outcomes (those being time and number of reports/cases). The Granger Causality analysis indicated a highly significant directional correlation between the two datasets (p=0.003). Conclusion There was a strong positive correlation between self-reported norovirus-like illness trends reported to the IWP crowdsourcing website, and NoroSTAT-reported outbreaks over the same timeframe. The alignment of the crowdsourced symptom data with public health surveillance lends credibility to the value of curated self-reporting as a complementary signal for detecting and perhaps predicting emerging norovirus epidemiological reports over time. Disclosures All Authors: No reported disclosures

  PublisherDOI

• Quantum control of an oscillator with a Kerr-cat qubit

  Nature Communications · 2025-06-06 · 11 citations

  articleOpen access

  Bosonic codes offer a hardware-efficient strategy for quantum error correction by redundantly encoding quantum information in the large Hilbert space of a harmonic oscillator. However, experimental realizations of these codes are often limited by ancilla errors propagating to the encoded logical qubit during syndrome measurements. The Kerr-cat qubit has been proposed as an ancilla for these codes due to its theoretically-exponential noise bias, which would enable fault-tolerant error syndrome measurements, but the coupling required to perform these syndrome measurements has not yet been demonstrated. In this work, we experimentally realize driven parametric coupling of a Kerr-cat qubit to a high-quality-factor microwave cavity and demonstrate a gate set that would enable universal quantum control of the cavity. We measure the decoherence of the cavity in the presence of the Kerr-cat and discover excess dephasing due to heating of the Kerr-cat to excited states. By engineering frequency-selective dissipation to counteract this heating, we are able to eliminate this dephasing, thereby demonstrating a high on-off ratio of control. Our results pave the way toward using the Kerr-cat to fault-tolerantly measure error syndromes of bosonic codes. Biased noise qubits, which can selectively suppress certain types of noise, are advantageous for quantum error correction of bosonic codes. Here the authors make an important step in this direction by demonstrating quantum control of a harmonic oscillator with a biased noise qubit.

  PublisherOA PDFDOI

• 25 Lymphatic-macrophage crosstalk during neonatal mouse heart regeneration and transition to fibrotic repair following surgical myocardial infarction

  British journal of surgery · 2025-03-01

  articleOpen access1st authorCorresponding

  Abstract In adult mice, surgically-induced myocardial infarction (MI) activates the cardiac lymphatics, which undergo sprouting angiogenesis, draining interstitial fluid and trafficking macrophages to mediastinal lymph nodes (MLNs), improving cardiac function. Given the importance of the adult cardiac lymphatics post-MI, we investigated their role across the neonatal “regenerative window”. At post-natal day 1 (P1) neonatal mice fully regenerate their heart following MI, in a macrophage-dependent manner, whereas equivalent injury at P7 leads to macrophage-driven scarring. We hypothesised that lymphatics respond differently during this window to clear macrophage subtypes depending upon their requirement for regeneration versus fibrotic repair. The response to injury revealed limited lymphangiogenesis and minimal macrophage clearance from P1 versus P7 infarcted hearts, coincident with maturation of lymphatic endothelial cell (LEC) junctions. Unbiased scRNA-Seq datasets from neonatal hearts post-MI demonstrated altered signalling between LECs and macrophages across the regenerative window, most notably of the lymphangiocrine factor Reelin Finally, in mice lacking the lymphatic endothelial receptor-1 (LYVE1), that exhibit impaired transmigration of macrophages to lymphatic vessels, MRI revealed surprising functional impairment in P1 mice post-MI. Given macrophages at P1 are not trafficked, this suggested a distinct role for LYVE1 in tissue-resident (TR) macrophages, where it is also expressed. Macrophage-specific deletion of Lyve1 revealed impaired heart regeneration post-MI, characterised by reduced neovascular response and function. Collectively, we reveal that cardiac lymphatics are developmentally compromised for clearance in early neonates, enabling retention of pro-regenerative macrophages, and that LYVE1 plays an essential role in macrophages to facilitate heart regeneration via the induction of coronary angiogenesis.

  PublisherOA PDFDOI

• Leveraging artificial intelligence community analytics and nanopore metagenomic surveillance to monitor early enteropathogen outbreaks

  Frontiers in Public Health · 2025-11-26

  articleOpen access

  Foodborne enteric infections are a major public health and economical burden, yet their surveillance often relies on latent indicators that delay containment efforts by several days and weeks. Conversely, whole metagenome shotgun sequencing of communal wastewater allows continuous monitoring of enteric pathogens. Spikes in abundance can be observed several weeks before the first case reports emerge. In addition, AI-driven social media mining, already in use for public opinion analytics, could be repurposed for predicting outbreaks at the community level by predicting the number of people experiencing symptoms in the population given their social media activity. Here we report how AI-driven community analytics and high-throughput long-read metagenomic surveillance of communal wastewater microbiota were combined to monitor non-typhoidal salmonellosis in Quebec City, Canada, from August 2023 to February 2024. Both approaches indicated similar fluctuations over time for: (i) people experiencing salmonellosis symptoms, and (ii) Salmonella enterica relative abundance in wastewater, with predicted cases leading metagenomic peaks by a week. Moreover, both approaches detected a maximum around September 13th, 2023, 5 weeks before a Salmonella food recall for the Quebec and Ontario provinces was made by the Public Health Agency of Canada. We therefore suggest that continuous AI-driven analytics and wastewater metagenomics monitoring could become part of a nationwide surveillance pipeline from the community scale to the molecular level.

  PublisherOA PDFDOI

• Digital twin model as aid of the observational method for the Snowy 2.0 caverns excavation

  2025-05-08

  book-chapter

  Snowy 2.0 is a major hydro power project currently under construction in Australia, it includes two large caverns excavated at about 720 m depth in high in-situ stresses and fair to good rock mass. During the caverns excavation, the Observational Method is being implemented in combination with the monitoring of rock mass behaviour, to either confirm or adjust the design at different stages the works, by comparing the predicted and observed response to caverns excavation. As part of the observational method, a “Digital Twin Model” has thus been developed to anticipate the rock mass behaviour during the excavation and to fulfil the verification of the acceptance criteria of the rock support in terms of durability and integrity. This article presents the conception and the development of the “Digital Twin Model” of the PSC.

  PublisherDOI

• Quantum Control of an Oscillator with a Kerr-cat Qubit

  arXiv (Cornell University) · 2024-07-15 · 1 citations

  preprintOpen access

  Bosonic codes offer a hardware-efficient strategy for quantum error correction by redundantly encoding quantum information in the large Hilbert space of a harmonic oscillator. However, experimental realizations of these codes are often limited by ancilla errors propagating to the encoded logical qubit during syndrome measurements. The Kerr-cat qubit has been proposed as an ancilla for these codes due to its theoretically-exponential noise bias, which would enable fault-tolerant error syndrome measurements, but the coupling required to perform these syndrome measurements has not yet been demonstrated. In this work, we experimentally realize driven parametric coupling of a Kerr-cat qubit to a high-quality-factor microwave cavity and demonstrate a gate set enabling universal quantum control of the cavity. We measure the decoherence of the cavity in the presence of the Kerr-cat and discover excess dephasing due to heating of the Kerr-cat to excited states. By engineering frequency-selective dissipation to counteract this heating, we are able to eliminate this dephasing, thereby demonstrating a high on-off ratio of control. Our results pave the way toward using the Kerr-cat to fault-tolerantly measure error syndromes of bosonic codes.

  PublisherOA PDFDOI

• A mid-circuit erasure check on a dual-rail cavity qubit using the joint-photon number-splitting regime of circuit QED

  arXiv (Cornell University) · 2024-06-20

  preprintOpen access

  Quantum control of a linear oscillator using a static dispersive coupling to a nonlinear ancilla underpins a wide variety of experiments in circuit QED. Extending this control to more than one oscillator while minimizing the required connectivity to the ancilla would enable hardware-efficient multi-mode entanglement and measurements. We show that the spectrum of an ancilla statically coupled to a single mode can be made to depend on the joint photon number in two modes by applying a strong parametric beamsplitter coupling between them. This `joint-photon number-splitting' regime extends single-oscillator techniques to two-oscillator control, which we use to realize a hardware-efficient erasure check for a dual-rail qubit encoded in two superconducting cavities. By leveraging the beamsplitter coupling already required for single-qubit gates, this scheme permits minimal connectivity between circuit elements. Furthermore, the flexibility to choose the pulse shape allows us to limit the susceptibility to different error channels. We use this scheme to detect leakage errors with a missed erasure fraction of $(9.0 \pm 0.5)\times10^{-4}$, while incurring an erasure rate of $2.92 \pm 0.01\%$ and a Pauli error rate of $0.31 \pm 0.01\%$, both of which are dominated by cavity errors.

  PublisherOA PDFDOI

• Interferometric Single-Shot Parity Measurement in an InAs-Al Hybrid Device

  arXiv (Cornell University) · 2024-01-17 · 3 citations

  preprintOpen access

  The fusion of non-Abelian anyons or topological defects is a fundamental operation in measurement-only topological quantum computation. In topological superconductors, this operation amounts to a determination of the shared fermion parity of Majorana zero modes. As a step towards this, we implement a single-shot interferometric measurement of fermion parity in indium arsenide-aluminum heterostructures with a gate-defined nanowire. The interferometer is formed by tunnel-coupling the proximitized nanowire to quantum dots. The nanowire causes a state-dependent shift of these quantum dots' quantum capacitance of up to 1 fF. Our quantum capacitance measurements show flux h/2e-periodic bimodality with a signal-to-noise ratio of 1 in 3.7 $μ$s at optimal flux values. From the time traces of the quantum capacitance measurements, we extract a dwell time in the two associated states that is longer than 1 ms at in-plane magnetic fields of approximately 2 T. These results are consistent with a measurement of the fermion parity encoded in a pair of Majorana zero modes that are separated by approximately 3 $μ$m and subjected to a low rate of poisoning by non-equilibrium quasiparticles. The large capacitance shift and long poisoning time enable a parity measurement error probability of 1%.

  PublisherOA PDFDOI

• The role of hands in cross-contamination of kitchen surfaces during meal preparation

  American Journal of Infection Control · 2023-10-25 · 15 citations

  articleOpen access

  BACKGROUND: Foodborne pathogen transmission during food preparation is a common occurrence, and cross-contamination can be a contributing factor. Behaviors that lead to cross-contamination during meal preparation have not been well characterized. The study objective was to determine how hands and food handling behaviors (with a focus on handwashing and touch-based events) affect the risk of cross-contamination of kitchen surfaces and foods during meal preparation. METHODS: Data from a prior study in which participants were observed preparing turkey burgers inoculated with bacteriophage MS2 and a salad provided the data for analysis. Cross-contamination was assessed using environmental sampling data. Behavioral coding was performed for handwashing and touch-based behaviors. Cross-contamination risk was defined as the likelihood (number of contaminated surfaces) and degree (contaminant concentration) of MS2 on surfaces. Statistical analyses were performed in R, SPSS, and SigmaPlot. RESULTS: The significantly reduced risk of cross-contamination (P.ß<.ß.0001) was observed for participants who attempted handwashing or completed more handwashing steps. Scrubbing hands for 5.ßseconds, on average, reduced the risk of cross-contamination (P.ß<.ß.05). Cross-contamination regression models created using the most significant predictor variables showed that increased handwashing attempts, completion of more handwashing steps, and average scrub times>5.ßseconds all decreased the risk of cross-contamination (P.ß<.ß.05). CONCLUSIONS: This analysis can be used in future risk assessment modeling and for informing education and outreach to reduce pathogen transmission during food preparation.

  PublisherOA PDFDOI

• Factors that Predict Listeria Prevalence in Distribution Centers Handling Fresh Produce

  SSRN Electronic Journal · 2022-01-01

  articleOpen access
  PublisherDOI

Frequent coauthors

• Michelle D. Danyluk

  55 shared

• Mary Yavelak

  55 shared

• Natalie Seymour

  North Carolina State University

  51 shared

• Candice Christian

  51 shared

• Douglas Powell

  West Virginia University

  26 shared

• John B. Luchansky

  Eastern Regional Research Center

  19 shared

• Renee Raiden Boyer

  Virginia Tech

  18 shared

• Anna C.S. Porto‐Fett

  Agricultural Research Service

  17 shared

Awards & honors

• 2020 – NCACES Award for Outstanding Subject Matter Program
• 2018 – Excellence in Teamwork Award for the Extension Master…
• 2018 – Outstanding Subject Matter Program by a Team Award, E…
• 2015 – International Association for Food Protection, Larry…
• 2014 – NC State University, University Faculty Scholar