Contact Information

Biography

Dr. Lauren Sugden is an assistant professor of Statistics at 51, and serves as the faculty director for the Data Science B.S. program. Her major research interests lie in building probabilistic and statistical models for addressing biological questions, particularly in the realms of population genetics and women's heath. She also regularly supervises undergraduate data science projects spanning a wide range of topics.

Education

  • Ph.D., Applied Mathematics, Brown University 2014
  • B.A., Mathematics and Physics, Wesleyan University 2008

 

Profile Information

  • DTSC 220 Data Exploration and Visualization
  • MATH 225 Introduction to Biostatistics I
  • MATH 301 Introduction to Probability and Statistics I
  • MATH 302 Introduction to Probability and Statistics II
  • MATH 473/CPMA 573 Statistical Computing
  • McAnulty College and Graduate School Pre-tenure Faculty Excellence in Teaching Award, 2022
  • MAA Project NExT Fellowship, Mathematical Association of America, Summer 2019 - Summer 2020
  1. Cecil, R.M., Sugden, L.A. "On convolutional neural networks for selection inference: revealing the effect of preprocessing on model learning and the capacity to discover novel patterns." PLoS Computational Biology 19, no. 11 (2023) e1010979.
  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. DeGorter, M.K., Goddard, P.C., Karakoc, E., Kundu, S., Yan, S.M., Nanchun, D., Abell, N., Aguirre, M., Carstensen, T., Chen, Z., Durrant, M., Dwaracherla, V.R., Feng, K., Gloudemans, M.J., Hunter, N., Moorthy, M.P.S., Pomilla, C., Rodrigues, K.B., Smith, C.J., Smith, K.S., Ungar, R.A., Balliu, B., Fellay, J., Flicek, P., McLaren, P.J., Henn, B., McCoy, R.C., Sugden, L., Kundaje, A., Sandhu, M.S., Gurdasani, D., Montgomery, S.B. “Transcriptomics and chromatin accessibility in multiple African population samples.” BioRxiv (2023) preprint.
  5. 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). 
  6. 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.
  7. 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.
  8. 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.
  9. 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. 
  10. 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. 
  11. 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. 
  12. 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. 
  13. 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.