Contact Information


Dr. John Fleming is an Associate Professor of Mathematics at Duquesne University. Dr. Fleming's scholarly interests mostly lie in computational methods. In particular, he has expertise in modelling physical phenomenon such as electromagnetic fields using Maxwell's equations.


  • B.A., Mathematics Hiram College
  • Ph.D., Michigan State University


Profile Information


  • Math 100 Calculus I
  • Math 116 Calculus II
  • Math 215 Calculus III
  • Math 310 Linear Algebra
  • Math 210 Matrix Algebra
  • Math 308 Numerical Analysis
  • Math 314 Differential Equations
  • Math 415W Introduction to Real Analysis I
  • Math 416W Introduction to Real Analysis II
  • Math 420 Introduction to Complex Analysis
  • CPMA 512 Linear Algebra
  • CPMA 518 Vector Calculus
  • CPMA 563 Numerical Differential Equations
  • CPMA 565 Numberical Methods


  1. Cecil, R.M., Sugden, L.A. "On convolutional neural networks for selection inference: revealing the lurking role of preprocessing, and the surprising effectiveness of summary statistics." bioRxiv (2023) preprint, under revision for PLoS Computational Biology 
  2. Ahlquist, K. D., Sugden, L.A., and Ramachandran S. "Enabling interpretable machine learning for biological data with reliability scores." PLOS Computational Biology 19, no. 5 (2023): e1011175. 
  3. Provenzano, D.A., Leech, J.E., Kilgore, J.S., and Sugden, L.A. "Evaluation of lumbar medial branch blocks: how does the second block influence progression to radiofrequency ablation? An infographic." Regional Anesthesia & Pain Medicine 48, no. 2 (2023): 80-81. 
  4. Provenzano, D.A., Leech, J.E, Kilgore, J.S., and Sugden, L.A.. "Evaluation of lumbar medial branch blocks: how does the second block influence progression to radiofrequency ablation?" Regional Anesthesia & Pain Medicine (2022). 
  5. Sugden, A.U., Zaremba, J.D., Sugden, L.A., McGuire, K.L., Lutas, A., Ramesh, R.N., Alturkistani, O.A., Lensjø, K.K., Burgess, C.R., Andermann, M.L. "Cortical Reactivations of Recent Sensory Experiences Predict Bidirectional Network Changes During Learning." Nature Neuroscience (2020): 1-11.
  6. Livneh, Y., Sugden, A.U., Madara, J.C., Essner, R.A., Flores, V.I., Sugden, L.A., Resch, J.M., Lowell, B.B., Andermann, M.L. "Estimation of Current and Future Physiological States in Insular Cortex." Neuron 105 (2020): 1-18.
  7. Sugden, L.A., Atkinson, E.G., Fischer, A.P., Rong, S., Henn, B.M., Ramachandran, S. "Localization of adaptive variants in human genomes using averaged one-dependence estimation." Nature Communications 9 (2018): 703.
  8. Sugden, L.A., and Ramachandran, S. "Integrating the signatures of demic expansion and archaic introgression in studies of human population genomics." Current Opinion in Genetics & Development 41 (2016): 140-149. 
  9. Sugden, L.A., Tackett, M.R., Savva, Y.A., Thompson, W.A., Lawrence, C.E. "Assessing the validity and reproducibility of genome-scale predictions." Bioinformatics29.22 (2013): 2844-2851. 
  10. Savva, Y.A., Jepson, J.E.C., Sahin, A., Sugden, A.U., Dorsky, J.S., Alpert, L., Lawrence, C., Reenan, R.A. "Auto-regulatory RNA editing fine-tunes mRNA re-coding and complex behaviour in Drosophila." Nature communications 3 (2012): 790. 
  11. Wei, D., Alpert, L.V., and Lawrence, C.E. "RNAG: a new Gibbs sampler for predicting RNA secondary structure for unaligned sequences." Bioinformatics 27.18 (2011): 2486-2493. 
  12. Reid, D.C., Chang, B.L., Gunderson, S.I., Alpert, L., Thompson, W.A., Fairbrother, W.G. "Next- generation SELEX identifies sequence and structural determinants of splicing factor binding in human pre-mRNA sequence." RNA 15.12 (2009): 2385-2397.