Oral Presentations

  1. (Invited). “Estimating Intratumoral Heterogeneity from Spatiotemporal Data” presented at the Banff International Research Station - Casa Matemática Oaxaca (BIRS-CMO): Mathematical Challenges in the Analysis of Continuum Models for Cancer Growth, Evolution and Therapy Workshop; 2018 Nov 26–30; Oaxaca, Mexico. (pdf and video)
  2. (Invited). "Modeling and Estimating Biological Heterogeneity in Spatiotemporal Data" presented at the Statistical and Applied Mathematical Sciences Institute (SAMSI) E&O: Undergraduate Workshop; 2018 Oct 22-23; Raleigh, NC.
  3. (Invited). “Optimal Experimental Design for Daphnia magna Age-Structured Models” presented at the Society for Mathematical Biology Annual Meeting; 2017 July 17–20; Salt Lake City, Utah. (pdf)
  4. “Influence of Non-Physiological Blood Pressure Artifacts on Cerebral Autoregulation” presented at the AMS Special Session on Mathematics in Physiology and Medicine II, Joint Mathematical Meetings; 2017 Jan 4-7; Atlanta, Georgia (pdf)
  5. (Invited) A Mathematical Model of GL261-Luc2 Glioma Growth in Mice” presented at SIAM Conference on the Life Sciences; 2016 July 11-14; Boston, MA. (pdf)
  6. (Invited) “Global Dynamics of a Joint Hormone Therapy and Dendritic Cell Vaccine for Late-Stage Prostate Cancer”, presented at the 11th AIMS Conference on Dynamical Systems, Differential Equations, and Applications; 2016 July 1-5; Orlando, FL. (pdf)
  7. “Global Dynamics of a Joint Hormone Therapy and Dendritic Cell Vaccine for Late-Stage Prostate Cancer”, presented at BAMM! (Biology and Medicine through Mathematics); 2016 May 20-22; Richmond, VA. (pdf)
  8. “Exploring Partial Differential Equation Models of Glioma Growth”, presented at the Partial Differential Equation Seminar at Arizona State University, March 25, 2016. (pdf)
  9. “Global Dynamics of a Joint Hormone Therapy and Dendritic Cell Vaccine for Late-Stage Prostate Cancer”, presented at the Mathematical Biology Seminar at Arizona State University, January 22, 2016. (pdf)
  10. “A Mathematical Model of GL261-Luc2 Glioma Growth in Mice”, presented at Joint Mathematical Meetings; 2016 Jan 6-9; Seattle, Washington. (pdf)

Guest Lectures

  1. Tensorflow Tutorial in Machine Learning in Biology, Fall 2018. North Carolina State University (graduate course).
  2. Convolutional Neural Networks Tutorial in Machine Learning in Biology, Fall 2017. North Carolina State University (graduate course).
  3. Existence and Stability of Traveling Wave Solutions in Biomathematics 1, Fall 2016. North Carolina State University (graduate course).

Posters

  1. “Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network”, presented at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI); 2018 Sept 16-20; Granada, Spain. (pdf)
  2. “Modeling Tumor Heterogeneity”, presented at the Precision Medicine (PMED) Opening Workshop; 2018 August 14; Raleigh, NC. (pdf)
  3. “Mathematically Modeling Populations of Daphnia magna”, presented at the Postdoctoral Research Symposium; 2017 May 24; Raleigh, NC. (pdf)
  4. “Global Dynamics of a Joint Hormone Therapy and Dendritic Cell Vaccine for Late-Stage Prostate Cancer”, presented at the Association of Women in Mathematics Workshop at Joint Mathematical Meetings; 2016 Jan 6-9; Seattle, Washington. (pdf)
  5. “Data-Validated Model of Glioblastoma Growth in Murine Brains”, presented at Society for Mathematical Biology Annual Meeting; 2015 June 30-July 3; Atlanta, Georgia (pdf)
  6. “Analysis of Dendritic Cell Vaccine Therapy with Intermittent Androgen Deprivation Therapy for Late-Stage Prostate Cancer”, presented at Mathematical Methods in Systems Biology; 2015 June 15-19; Dublin, Ireland. Outstanding Poster Award. (pdf)
  7. “Data-Motivated Models of in vitro Glioblastoma Growth”, presented at Micro and Macro Systems in Life Sciences; 2015 June 8-13; Bedlewo, Poland. (pdf)
  8. “A Data-Validated Density-Dependent Diffusion model of Glioblastoma Growth” at MBI (Mathematical Biosciences Institute) Cancer and the Immune System Workshop; 2014 November 17-21; Columbus, Ohio. (pdf)
  9. “Kelvin-Helmholtz Instability Modeling using the CRASH Code”, presented at 9th International Conference on High Energy Density Laboratory Astrophysics; 2012 April 30-May 4; Tallahassee, Florida. (pdf)
  10. “Modeling the Kelvin-Helmholtz Instability in High-Energy-Density Experiments using the CRASH Code”, presented at 53rd American Physical Society Annual Division of Plasma Physics Meeting; 2011 November 14-18; Salt Lake City, Utah.
  11. “Early-Time Radiation-Hydrodynamic Modeling of Radiative Shock Experiments”, presented at the 52nd American Physical Society Annual Division of Plasma Physics Meeting; 2010 November 8-12; Chicago, Illinois.
  12. “Expected Variation in Shock Behavior due to Experimental Variability” at 8th International Conference on High Energy Density Laboratory Astrophysics; 2010 March 15-18; Pasadena, California.
  13. “1D Hyades Study of Varying Input Parameters of a Gaussian Distribution” presented at the 51st American Physical Society Annual Division of Plasma Physics Meeting; 2009 November 2-6; Atlanta, Georgia.