Image could not be loaded

 

Professional summary: My primary research focus is elucidating the complex mechanisms underlying T cell-based immune responses in an effort to develop more personalized immunotherapeutics. I accomplish this task through a synergistic combination of experimental and computational techniques. Using a blend of biophysics, bioinformatics, and computational biology, I model integral components of the MHC-I processing and presentation pathway and subsequent interactions between T cells and virally-infected/cancerous cells.  I then experimentally validate the models utilizing biochemistry and analytical chemistry techniques.


Research Interests: cancer immunology, machine learning, mass spectrometry, molecular dynamics, protein-protein interactions (protein docking), ab-initio structure prediction and refinement.

Selected peer-reviewed publications (in reverse chronological order):

  1. Wilson, E.A., Herneise, G., Singharoy, A. and Anderson, K.S., 2020. Total predicted MHC-I epitope load is inversely associated with mortality from SARS-CoV-2. Cell Systems (submitted).

 

  1. Gupta, C., Cava, J.K., Sarkar, D., Wilson, E.A., Vant, J., Murray, S., Singharoy, A. and Karmaker, S.K., 2020. Mind reading of the proteins: Deep-learning to forecast molecular dynamics. bioRxiv.

 

  1. Wilson, E.A., Vant, J., Layton, J., Boyd, R., Lee, H., Turilli M., Hernandez, B., Wilkinson, S., Jha, S., Gupta, C., Sarkar D. and Singharoy, A., 2019. All You Want to Know About Large System Simulations, Methods in Molecular Biology (submitted).

 

  1. Wilson, E.A. and Anderson, K.S., 2019. Weakly immunogenic CRISPR therapies. Nature biomedical engineering, 3(10), pp.761-762.

 

  1. Wilson, E.A. and Anderson, K.S., 2018. Lost in the crowd: identifying targetable MHC class I neoepitopes for cancer immunotherapy. Expert review of proteomics, 15(12), pp.1065-1077.

 

  1. Krishna, S., Ulrich, P., Wilson, E.A., Parikh, F., Narang, P., Yang, S., Read, A.K., Kim-Schulze, S., Park, J.G., Posner, M. and Sayres, M.A.W., 2018. Human papilloma virus specific immunogenicity and dysfunction of CD8+ T cells in head and neck cancer. Cancer research, 78(21), pp.6159-6170.

 

Selected invited talks and presentations (in reverse chronological order):

 

  1. Wilson, E.A., Anderson, K. and Singharoy, A., 2020. Resolving the Connection between Major Histocompatibilty Complexes and Immune Outcomes using Unsupervised Clustering of Molecular Dynamics Simulations. Biophysical Society. San Diego, California

 

  1. Wilson, E.A., Wilson, M.A. and Anderson, K.S., 2019, August. MHC-TreASUre_Hunt: a computational pipeline for the identification of MHC-I peptides from mass spectrometry. 13th International Symposium on Mass Spectrometry in the Health and Life Sciences: Molecular and Cellular Proteomics. San Francisco, California
  2. Wilson, E.A., Thibert, S., Epple, M., Fan, J., Borges, C., and Anderson, K.S., 2019. Know thy enemy: A experimental workflow for the identification of tumor-specific MHC-I ligands. Biodesign Fusion. Phoenix, AZ
  3. Wilson, E.A., Krishna, S. and Anderson, K.S., 2018. A Random Forest based approach to MHC class I epitope prediction and analysis. American Association of Immunology. Austin, Texas.

 

Notable awards:

 

  • Harry Lowell Swift Advancing Health scholarship (2020)
  • Graduate and Professional student travel award (2020)
  • Harry Lowell Swift Advancing Health scholarship (2019)
  • University Graduate Fellowship (2018)
  • Arizona Board of Regents High Honor Endorsement (2012-2016)