Associate Professor Peter Kim

Telephone 9351 2970
Fax 9351 4534

Website Personal web page
Curriculum vitae Curriculum vitae

Research interests

I work in mathematical biology, a rapidly growing interdisciplinary field that requires a synthesis of information from a variety of perspectives, creative modelling, and interaction with researchers from a range of areas.

Specific areas that I work on include mathematical immunology, cancer dynamics, virus dynamics, and human evolution. To address these problems, I apply ordinary, delay, and partial differential equations and agent/individual-based models.

I am a member of the Applied Mathematics Research Group.

Teaching and supervision

Photos and videos

Group photos

Videos of group members describing their research in a few minutes.

  • Photographer/videographer: Collin Zheng
  • Web designer: Adarsh Kumbhari

ABC 7.30 Report on 12th Nov 2018: See Adrianne Jenner and Collin Zheng interviewed as part of the launch of the Sydney Mathematical Research Institute. (Their part begins at 3:13 / 6:05 on the 6-min video clip.) Also, see the article.

People

Postdoc

  • Danya Rose (Jun 2016-present)
  • Matthew Chan (Mar-Sep 2016, Jul 2017-Mar 2018)

PhD

  • Collin Zheng (Jan 2017-present) and his cool website.
  • Adarsh Kumbhari (Jan 2017-present)
  • Pantea Pooladvand (Jan 2017-present) and an interesting news article.
  • Adrianne Jenner (Aug 2015-present) and an interesting news article.
  • Sara Loo (Mar 2015-present)
  • Anthony Cheung (Jul 2016-May 2017)
  • Matthew Chan (Aug 2012-Feb 2016)
  • James Reoch (U of Adelaide, external supervisor, Jul 2015-Aug 2016)
  • David Khoury (UNSW, associate supervisor, Feb 2012-2016)

Masters

  • Collin Zheng (2016)
  • Jared Field (2015) and a scholarship announcement. He's also in an article as part of the launch of the Sydney Mathematical Research Institute on 12th Nov 2018.

Honours

  • Ke Li (2018)
  • Yuhuang Wu (2017)
  • Ruben Robertson (2017)
  • Hak Joon Kim (2016)
  • Adarsh Kumbhari (2016)
  • Pantea Pooladvand (2015-2016)
  • Adrianne Jenner (Jul 2014-Jun 2015)
  • Jared Field (2014)
  • Sara Loo (U of Wollongong, associate supervisor, 2014)
  • Andrea Cooper (2013)
  • James Reoch (2012)

Internship

  • Ilham Harmach (Mar-Aug 2018)

Undergraduate - 1st to 3rd year

  • Viney Kumar and Katrina Milliner (with 2nd-yr mentors), Anastasia Birrell, Elizabeth Rose, Sean Skinner, Shir Ming Sun, and Jing Yang (Dalyell Showcase 1st-yr project, 2018)
  • Viney Kumar and Katrina Milliner (Talented Student Program, 2017-present)
  • Kelsey Ann McKinnon (3rd-yr mentor), Vaishnavi Calisa (3rd-yr domain expert), Jason Chami, Shirley Chen, Viney Kumar, Jung A (Monica) Lee, Katrina Milliner, Andreas Orsmond, Alexis Zimbulis (Talented Student Program Showcase 1st-yr project, 2017)
  • Vaishnavi Calisa (Talented Student Program 2nd-yr project, 2016)
  • Vaishnavi Calisa and Benjamin Xie (Talented Student Program 1st-yr project, 2015)
  • Edward Burrowes (3rd-yr mentor), Noah Johnston, Mona Khosh, Kelsey McKinnon, Justin Phu, and Stephanie Sun (Talented Student Program 1st-yr project, 2015)
  • Jian Cao (3rd-yr vacation scholar, 2013)
  • Edward Kim (3rd-yr vacation scholar, 2012)

Timetable

PS_Kim

Current research students

Project title Research student
Fluid-solid interactions in planetary environments. Eric HESTER
Diffusion of an oncolytic virus within a solid tumour. Pantea POOLADVAND

Current projects

If you are interested in pursuing a PhD or collaboration along the lines of one of these projects or a related area, please feel free to contact me at (peter.kim@sydney.edu.au).

Evolution of human post-menopausal longevity: Grandmother Hypothesis

A big, outstanding question in human evolution is why humans developed such long lifespans, greatly exceeding the end of female fertility. As far as we know, only pilot whales and killer whales share this trait. The Grandmother Hypothesis proposes that humans developed increased longevity as ancestral grandmothers began to help care for their daughters' children, allowing their daughters to move on to the next child sooner. As part of an exciting collaboration with Kristen Hawkes, a leading anthropologist at the University of Utah, Salt Lake City, USA, we develop models of primate populations to determine under what conditions grandmother help could drive increased longevity without increased reproduction. We also consider alternative hypotheses, including the Hunting Hypothesis that male hunting in groups and long-term pair bonding with females pushed human longevity.

The podcast of a Public Lecture by Prof. Kristen Hawkes on "Grandmothers and Human Evolution" on 15 Aug 2015 as part of the Sydney Science Festival is available here.

Evolution of mating strategies among humans and primates

Human life history is puzzling. Despite having highly dependent newborns that grow expensive tissues (e.g. our brains), we reproduce faster than our closest primate relatives, which is possible because mothers receive a considerable amount of help caring for their young. How did this help evolve?

In particular, mothers can receive caring help from their mothers (grandmothering), other females, and pair-bonded males. In fact, pair bonding and biparental care is strikingly common among humans, but rare among other primates, (although some nonhuman pair-bonding primates exist). Also, in collaboration with Kristen Hawkes at the University of Utah, Salt Lake City, USA, we will tackle questions about mating strategies and what conditions allow certain strategies to evolve and remain.

Mathematically modelling immune dynamics and regulation

When a pathogen induces inflammation, dendritic cells migrate to lymph nodes, where they interact with T cells. In minutes, numerous T cells form bonds with each dendritic cell. Like social organisms, immune cells form associations that give rise to emergent group dynamics that outlast the lifespans of the interactions and even the cells involved.

We seek to investigate the importance of cell organization, interaction rates, and aggregation to build a theory of the emergent dynamics of immune responses. Working in collaboration with Peter Lee, MD at the City of Hope and Beckman Research Institute in the Los Angeles area and Barbara Fazekas, PhD at the Charles Perkins Centre at the University of Sydney, we will model the dynamics of regulatory T cells, helper and killer T cells, T cell-dendritic cell dynamics, and immune signaling among other topics to understand the immune system from the perspective of emergent group dynamics.

Cancer vaccines and immunotherapy

Immunotherapy is a new and promising approach to cancer treatment. It involves helping the body's immune defences defeat tumours. Several methods involve T cell vaccination, dendritic cell vaccination, and cytokine therapy. In collaboration with a cancer immunologist at the City of Hope and Beckman Research Institute, Los Angeles, USA, we develop mathematical models to describe interactions between immune cells and tumour cells with and without treatment to help understand data and propose new strategies for investigation.

Cancer virotherapy

Cancer virotherapy is newly emerging strategy that involves infecting patients with genetically-engineered viruses to attack tumours. It is closely related to cancer immunotherapy, because viruses can often be engineered to induce a concurrent anti-tumour immune response or combined with other immunotherapies. In collaboration with a genetic engineering laboratory at Hanyang University, Seoul, Korea, we develop models of viral infection of tumour masses and the possible recruitment of a simultaneous immune response.

International links

Korea South

(Hanyang University, Seoul) Collaboration with the Gene Therapy Laboratory.

United States

(City of Hope and Beckman Research Institute, Los Angeles, California) Collaboration with the Faculty of Cancer Immunotherapeutics and Tumor Immunology.

United States

(University of Utah, Salt Lake City, Utah) Collaboration with the Departments of Mathematics, Biology, and Anthropology.

Selected grants

2018

  • Dynamical systems theory and mathematical modelling of viral infections; Kim P, Frascoli F, Coster A, Yun C; Australian Research Council (ARC)/Discovery Projects (DP).

2016

  • Human longevity: Modelling social changes that propelled its evolution; Kim P, Hawkes K; Australian Research Council (ARC)/Discovery Projects (DP).

2015

  • Mathematical Modelling of Human Life History Eveolution; Kim P; DVC Research/Bridging Support Grant.

2012

  • Mathematical modelling of breast cancer immunity: Guiding the development of preventative breast cancer vaccines; Kim P; Australian Research Council (ARC)/Discovery Early Career Researcher Award (DECRA).

Selected publications

Download citations: PDF RTF Endnote

Book Chapters

  • Cooper, A., Kim, P. (2014). A Cellular Automata and a Partial Differential Equation Model of Tumor-Immune Dynamics and Chemotaxis. In Amina Eladdadi, Peter Kim, Dann Mallet (Eds.), Mathematical Models of Tumor-Immune System Dynamics, (pp. 21-46). New York: Springer Science+Business Media. [More Information]
  • Wares, J., Crivelli, J., Kim, P. (2014). Differential Equation Techniques for Modeling a Cycle-Specific Oncolytic Virotherapeutic. In Amina Eladdadi, Peter Kim, Dann Mallet (Eds.), Mathematical Models of Tumor-Immune System Dynamics, (pp. 253-275). New York: Springer Science+Business Media. [More Information]
  • Kim, P., Lee, P., Levy, D. (2013). Basic Principles in Modeling Adaptive Regulation and Immunodominance. In Urszula Ledzewicz, Heinz Schattler, Avner Friedman and Eugene Kashdan (Eds.), Mathematical Methods and Models in Biomedicine, (pp. 33-57). New York: Springer. [More Information]
  • Kim, P., Levy, D., Lee, P. (2009). Modeling and Simulation of the Immune System as a Self-Regulating Network. In Michael L Johnson and Ludwig Brand (Eds.), Methods in Enzymology: Volume 467 Computer Methods, Part B, (pp. 79-109). London: Academic Press.
  • Kim, P., Lee, P., Levy, D. (2007). Mini-Transplants for Chronic Myelogenous Leukemia: A Modeling Perspective. In Isabelle Queinnec, Sophie Tarbouriech, Germain Garcia and Silviu-Iulian Niculesc (Eds.), Biology and Control Theory: Current Challenges, (pp. 3-20). Germany: Springer. [More Information]

Journals

  • Jenner, A., Yun, C., Kim, P., Coster, A. (2018). Mathematical Modelling of the Interaction Between Cancer Cells and an Oncolytic Virus: Insights into the Effects of Treatment Protocols. Bulletin of Mathematical Biology, 80(6), 1615-1629. [More Information]
  • Jenner, A., Yun, C., Yoon, A., Kim, P., Coster, A. (2018). Modelling heterogeneity in viral-tumour dynamics: The effects of gene-attenuation on viral characteristics. Journal of Theoretical Biology, 454(October 2018), 41-52. [More Information]
  • Chan, M., Kim, P., Marangell, R. (2018). Stability of travelling waves in a Wolbachia invasion. Discrete and Continuous Dynamical Systems - Series B, 23(2), 609-628. [More Information]
  • Lee, J., Adler, F., Kim, P. (2017). A Mathematical Model for the Macrophage Response to Respiratory Viral Infection in Normal and Asthmatic Conditions. Bulletin of Mathematical Biology, 79(9), 1979-1998. [More Information]
  • Frascoli, F., Flood, E., Kim, P. (2017). A model of the effects of cancer cell motility and cellular adhesion properties on tumour-immune dynamics. Mathematical Medicine and Biology, 34(2), 215-240. [More Information]
  • Loo, S., Hawkes, K., Kim, P. (2017). Evolution of male strategies with sex-ratio-dependent pay-offs: connecting pair bonds with grandmothering. Philosophical Transactions of the Royal Society B, 372(1729), 1-8. [More Information]
  • Loo, S., Chan, M., Hawkes, K., Kim, P. (2017). Further Mathematical Modelling of Mating Sex Ratios & Male Strategies with Special Relevance to Human Life History. Bulletin of Mathematical Biology, 79(8), 1907-1922. [More Information]
  • Gevertz, J., Kim, P., Wares, J. (2017). Mentoring Undergraduate Interdisciplinary Mathematics Research Students: Junior Faculty Experiences. PRIMUS, 27(3), 352-369. [More Information]
  • Chan, M., Hawkes, K., Kim, P. (2017). Modelling the evolution of traits in a two-sex population, with an application to grandmothering. Bulletin of Mathematical Biology, 79(9), 2132-2148. [More Information]
  • Peacock, A., Cheung, A., Kim, P., Poon, S. (2017). Socialising health burden through different network topologies: A simulation study. Studies in Health Technology and Informatics, 239, 112-118. [More Information]
  • Koop, J., Kim, P., Knutie, S., Adler, F., Clayton, D. (2016). An introduced parasitic fly may lead to local extinction of Darwin's finch populations. Journal of Applied Ecology, 53(2), 511-518. [More Information]
  • Ortiz, A., Carnathan, D., Yu, J., Sheehan, K., Kim, P., Reynaldi, A., Vanderford, T., Klatt, N., Brenchley, J., Davenport, M., et al (2016). Analysis of the In Vivo Turnover of CD4+ T-Cell Subsets in Chronically SIV-Infected Sooty Mangabeys. PloS One, 11(5), 1-9. [More Information]
  • Chan, M., Hawkes, K., Kim, P. (2016). Evolution of longevity, age at last birth and sexual conflict with grandmothering. Journal of Theoretical Biology, 393, 145-157. [More Information]
  • Sweatman, W., Mercer, G., Boland, J., Cusimano, N., Greenwood, A., Harley, K., van Heijster, P., Kim, P., Maisano, J., Nelson, M., et al (2016). Seaweed cultivation and the remediation of by-products from ethanol production: a glorious green growth. ANZIAM Journal, 56, M1-M29. [More Information]
  • Coxworth, J., Kim, P., McQueen, J., Hawkes, K. (2015). Grandmothering life histories and human pair bonding. Proceedings of the National Academy of Sciences of the United States of America, 112(38), 11806-11811. [More Information]
  • Chan, M., Shine, R., Brown, G., Kim, P. (2015). Mathematical modelling of spatial sorting and evolution in a host-parasite system. Journal of Theoretical Biology, 380, 530-541. [More Information]
  • Kim, P., Crivelli, J., Choi, I., Yun, C., Wares, J. (2015). Quantitative impact of immunomodulation versus oncolysis with cytokine-expressing virus therapeutics. Mathematical Biosciences and Engineering (MBE), 12(4), 841-858. [More Information]
  • Wares, J., Crivelli, J., Yun, C., Choi, I., Gevertz, J., Kim, P. (2015). Treatment strategies for combining immunostimulatory oncolytic virus therapeutics with dendritic cell injections. Mathematical Biosciences and Engineering (MBE), 12(6), 1237-1256. [More Information]
  • Frascoli, F., Kim, P., Hughes, B., Landman, K. (2014). A dynamical model of tumour immunotherapy. Mathematical Biosciences, 253, 50-62. [More Information]
  • Chan, M., Kim, P. (2014). An Age-Structured Approach to Modelling Behavioural Variation Maintained by Life-History Trade-Offs. PloS One, 9(1), 1-10. [More Information]
  • Khoury, D., Cromer, D., Best, S., James, K., Kim, P., Engwerda, C., Haque, A., Davenport, M. (2014). Effect of Mature Blood-Stage Plasmodium Parasite Sequestration on Pathogen Biomass in Mathematical and In Vivo Models of Malaria. Infection and Immunity, 82(1), 212-220. [More Information]
  • Kim, P., McQueen, J., Coxworth, J., Hawkes, K. (2014). Grandmothering drives the evolution of longevity in a probabilistic model. Journal of Theoretical Biology, 353(July), 84-94. [More Information]
  • Chan, M., Kim, P. (2014). Modelling the Impact of Marine Reserves on a Population with Depensatory Dynamics. Bulletin of Mathematical Biology, 76, 2122-2143. [More Information]
  • Chan, M., Kim, P. (2014). Modelling the Impact of Marine Reserves on a Population with Depensatory Dynamics. Bulletin of Mathematical Biology, 76(9), 2122-2143. [More Information]
  • Chan, M., Kim, P. (2013). Modelling a Wolbachia Invasion Using a Slow-Fast Dispersal Reaction-Diffusion Approach. Bulletin of Mathematical Biology, 75(9), 1501-1523. [More Information]
  • Adler, F., Kim, P. (2013). Models of contrasting strategies of rhinovirus immune manipulation. Journal of Theoretical Biology, 327(21), 1-10. [More Information]
  • Crivelli, J., Foldes, J., Kim, P., Wares, J. (2012). A mathematical model for cell cycle-specific cancer virotherapy. Journal of Biological Dynamics, 6(Supp. 1), 104-120. [More Information]
  • Kim, P., Coxworth, J., Hawkes, K. (2012). Increased longevity evolves from grandmothering. Proceedings of the Royal Society B: Biological Sciences, 279(1749), 4880-4884. [More Information]
  • Kim, P., Lee, P. (2012). Modeling Protective Anti-Tumor Immunity via Preventative Cancer Vaccines Using a Hybrid Agentbased and Delay Differential Equation Approach. PLoS Computational Biology, 8(10), 1-16. [More Information]
  • Hawkes, K., Kim, P., Kennedy, B., Bohlender, R., Hawks, J. (2011). A reappraisal of grandmothering and natural selection. Proceedings of the Royal Society B: Biological Sciences, 278(1714), 1936-1938. [More Information]
  • Kim, P., Lee, P., Levy, D. (2011). A Theory of Immunodominance and Adaptive Regulation. Bulletin of Mathematical Biology, 73(7), 1645-1665. [More Information]
  • Mazenc, F., Kim, P., Niculescu, S. (2011). Stability of an imatinib and immune model with delays. IMA journal of mathematical control and information, 28(4), 447-462. [More Information]
  • Paquin, D., Kim, P., Lee, P., Levy, D. (2011). Strategic Treatment Interruptions During Imatinib Treatment of Chronic Myelogenous Leukemia. Bulletin of Mathematical Biology, 73(5), 1082-1100. [More Information]
  • Kim, P., Lee, P. (2011). T cell state transition produces an emergent change detector. Journal of Theoretical Biology, 275(1), 59-69. [More Information]
  • Kim, P., Lee, P., Levy, D. (2010). Emergent Group Dynamics Governed by Regulatory Cells Produce a Robust Primary T Cell Response. Bulletin of Mathematical Biology, 72(3), 611-644. [More Information]
  • Doumic-Jauffret, M., Kim, P., Perthame, B. (2010). Stability Analysis of a Simplified Yet Complete Model for Chronic Myelogenous Leukemia. Bulletin of Mathematical Biology, 72(7), 1732-1759. [More Information]
  • Niculescu, S., Kim, P., Gu, K., Lee, P., Levy, D. (2010). Stability crossing boundaries of delay systems modeling immune dynamics in Leukemia. Discrete and Continuous Dynamical Systems - Series B, 13(1), 129-156. [More Information]
  • Peet, M., Kim, P., Niculescu, S., Levy, D. (2009). New computational tools for modeling chronic myelogenous leukemia. Mathematical Modelling of Natural Phenomena, 4(2), 119-139. [More Information]
  • Kim, P., Lee, P., Levy, D. (2008). A PDE Model for Imatinib-Treated Chronic Myelogenous Leukemia. Bulletin of Mathematical Biology, 70, 1994-2016. [More Information]
  • Kim, P., Lee, P., Levy, D. (2008). Dynamics and Potential Impact of the Immune Response to Chronic Myelogenous Leukemia. PLoS Computational Biology, 4(6), e1000095-17 pages. [More Information]
  • Kim, P., Lee, P., Levy, D. (2008). Modeling Imatinib-Treated Chronic Myelogenous Leukemia: Reducing the Complexity of Agent-Based Models. Bulletin of Mathematical Biology, 70(3), 728-744. [More Information]
  • Kim, P., Lee, P., Levy, D. (2007). Modeling regulation mechanisms in the immune system. Journal of Theoretical Biology, 246(1), 33-69. [More Information]
  • DeConde, R., Kim, P., Levy, D., Lee, P. (2005). Post-transplantation dynamics of the immune response to chronic myelogenous. Journal of Theoretical Biology, 236(1), 39-59. [More Information]

Conferences

  • Eladdadi, A., Kim, P., Mallet, D. (2014). Mathematical Models of Tumor-Immune System Dynamics. Springer Proceedings in Mathematics and Statistics, New York: Springer. [More Information]
  • Peet, M., Kim, P., Lee, P. (2012). Biological Circuit Models of the Immune Regulatory Response: a Decentralized Control System. 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011), New York, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Kim, P. (2011). Modeling Leukemia stem cell differentiation: Bridging agent-based and partial differential equation models. Advanced computer and information technologies, Yekaterinburg, Russia: Ural Federal University.
  • Mazenc, F., Kim, P., Niculescu, S. (2008). Stability of a Gleevec and immune model with delays. 47th IEEE Conference on Decision and Control CDC 2008, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Niculescu, S., Kim, P., Lee, P., Levy, D. (2007). On stability of a combined Gleevec and immune model in chronic leukemia: Exploiting delay system structure. 7th IFAC Symposium on Nonlinear Control Systems, Pretoria, South Africa: International Federation of Automatic Control (IFAC). [More Information]
  • Niculescu, S., Kim, P., Gu, D., Levy, D. (2006). On the stability crossing boundaries of some delay systems modeling immune dynamics of leukemia. 17th International Symposium on Mathematical Theory of Networks and Systems, Japan: MTNS.

2018

  • Jenner, A., Yun, C., Kim, P., Coster, A. (2018). Mathematical Modelling of the Interaction Between Cancer Cells and an Oncolytic Virus: Insights into the Effects of Treatment Protocols. Bulletin of Mathematical Biology, 80(6), 1615-1629. [More Information]
  • Jenner, A., Yun, C., Yoon, A., Kim, P., Coster, A. (2018). Modelling heterogeneity in viral-tumour dynamics: The effects of gene-attenuation on viral characteristics. Journal of Theoretical Biology, 454(October 2018), 41-52. [More Information]
  • Chan, M., Kim, P., Marangell, R. (2018). Stability of travelling waves in a Wolbachia invasion. Discrete and Continuous Dynamical Systems - Series B, 23(2), 609-628. [More Information]

2017

  • Lee, J., Adler, F., Kim, P. (2017). A Mathematical Model for the Macrophage Response to Respiratory Viral Infection in Normal and Asthmatic Conditions. Bulletin of Mathematical Biology, 79(9), 1979-1998. [More Information]
  • Frascoli, F., Flood, E., Kim, P. (2017). A model of the effects of cancer cell motility and cellular adhesion properties on tumour-immune dynamics. Mathematical Medicine and Biology, 34(2), 215-240. [More Information]
  • Loo, S., Hawkes, K., Kim, P. (2017). Evolution of male strategies with sex-ratio-dependent pay-offs: connecting pair bonds with grandmothering. Philosophical Transactions of the Royal Society B, 372(1729), 1-8. [More Information]
  • Loo, S., Chan, M., Hawkes, K., Kim, P. (2017). Further Mathematical Modelling of Mating Sex Ratios & Male Strategies with Special Relevance to Human Life History. Bulletin of Mathematical Biology, 79(8), 1907-1922. [More Information]
  • Gevertz, J., Kim, P., Wares, J. (2017). Mentoring Undergraduate Interdisciplinary Mathematics Research Students: Junior Faculty Experiences. PRIMUS, 27(3), 352-369. [More Information]
  • Chan, M., Hawkes, K., Kim, P. (2017). Modelling the evolution of traits in a two-sex population, with an application to grandmothering. Bulletin of Mathematical Biology, 79(9), 2132-2148. [More Information]
  • Peacock, A., Cheung, A., Kim, P., Poon, S. (2017). Socialising health burden through different network topologies: A simulation study. Studies in Health Technology and Informatics, 239, 112-118. [More Information]

2016

  • Koop, J., Kim, P., Knutie, S., Adler, F., Clayton, D. (2016). An introduced parasitic fly may lead to local extinction of Darwin's finch populations. Journal of Applied Ecology, 53(2), 511-518. [More Information]
  • Ortiz, A., Carnathan, D., Yu, J., Sheehan, K., Kim, P., Reynaldi, A., Vanderford, T., Klatt, N., Brenchley, J., Davenport, M., et al (2016). Analysis of the In Vivo Turnover of CD4+ T-Cell Subsets in Chronically SIV-Infected Sooty Mangabeys. PloS One, 11(5), 1-9. [More Information]
  • Chan, M., Hawkes, K., Kim, P. (2016). Evolution of longevity, age at last birth and sexual conflict with grandmothering. Journal of Theoretical Biology, 393, 145-157. [More Information]
  • Sweatman, W., Mercer, G., Boland, J., Cusimano, N., Greenwood, A., Harley, K., van Heijster, P., Kim, P., Maisano, J., Nelson, M., et al (2016). Seaweed cultivation and the remediation of by-products from ethanol production: a glorious green growth. ANZIAM Journal, 56, M1-M29. [More Information]

2015

  • Coxworth, J., Kim, P., McQueen, J., Hawkes, K. (2015). Grandmothering life histories and human pair bonding. Proceedings of the National Academy of Sciences of the United States of America, 112(38), 11806-11811. [More Information]
  • Chan, M., Shine, R., Brown, G., Kim, P. (2015). Mathematical modelling of spatial sorting and evolution in a host-parasite system. Journal of Theoretical Biology, 380, 530-541. [More Information]
  • Kim, P., Crivelli, J., Choi, I., Yun, C., Wares, J. (2015). Quantitative impact of immunomodulation versus oncolysis with cytokine-expressing virus therapeutics. Mathematical Biosciences and Engineering (MBE), 12(4), 841-858. [More Information]
  • Wares, J., Crivelli, J., Yun, C., Choi, I., Gevertz, J., Kim, P. (2015). Treatment strategies for combining immunostimulatory oncolytic virus therapeutics with dendritic cell injections. Mathematical Biosciences and Engineering (MBE), 12(6), 1237-1256. [More Information]

2014

  • Cooper, A., Kim, P. (2014). A Cellular Automata and a Partial Differential Equation Model of Tumor-Immune Dynamics and Chemotaxis. In Amina Eladdadi, Peter Kim, Dann Mallet (Eds.), Mathematical Models of Tumor-Immune System Dynamics, (pp. 21-46). New York: Springer Science+Business Media. [More Information]
  • Frascoli, F., Kim, P., Hughes, B., Landman, K. (2014). A dynamical model of tumour immunotherapy. Mathematical Biosciences, 253, 50-62. [More Information]
  • Chan, M., Kim, P. (2014). An Age-Structured Approach to Modelling Behavioural Variation Maintained by Life-History Trade-Offs. PloS One, 9(1), 1-10. [More Information]
  • Wares, J., Crivelli, J., Kim, P. (2014). Differential Equation Techniques for Modeling a Cycle-Specific Oncolytic Virotherapeutic. In Amina Eladdadi, Peter Kim, Dann Mallet (Eds.), Mathematical Models of Tumor-Immune System Dynamics, (pp. 253-275). New York: Springer Science+Business Media. [More Information]
  • Khoury, D., Cromer, D., Best, S., James, K., Kim, P., Engwerda, C., Haque, A., Davenport, M. (2014). Effect of Mature Blood-Stage Plasmodium Parasite Sequestration on Pathogen Biomass in Mathematical and In Vivo Models of Malaria. Infection and Immunity, 82(1), 212-220. [More Information]
  • Kim, P., McQueen, J., Coxworth, J., Hawkes, K. (2014). Grandmothering drives the evolution of longevity in a probabilistic model. Journal of Theoretical Biology, 353(July), 84-94. [More Information]
  • Eladdadi, A., Kim, P., Mallet, D. (2014). Mathematical Models of Tumor-Immune System Dynamics. Springer Proceedings in Mathematics and Statistics, New York: Springer. [More Information]
  • Chan, M., Kim, P. (2014). Modelling the Impact of Marine Reserves on a Population with Depensatory Dynamics. Bulletin of Mathematical Biology, 76, 2122-2143. [More Information]
  • Chan, M., Kim, P. (2014). Modelling the Impact of Marine Reserves on a Population with Depensatory Dynamics. Bulletin of Mathematical Biology, 76(9), 2122-2143. [More Information]

2013

  • Kim, P., Lee, P., Levy, D. (2013). Basic Principles in Modeling Adaptive Regulation and Immunodominance. In Urszula Ledzewicz, Heinz Schattler, Avner Friedman and Eugene Kashdan (Eds.), Mathematical Methods and Models in Biomedicine, (pp. 33-57). New York: Springer. [More Information]
  • Chan, M., Kim, P. (2013). Modelling a Wolbachia Invasion Using a Slow-Fast Dispersal Reaction-Diffusion Approach. Bulletin of Mathematical Biology, 75(9), 1501-1523. [More Information]
  • Adler, F., Kim, P. (2013). Models of contrasting strategies of rhinovirus immune manipulation. Journal of Theoretical Biology, 327(21), 1-10. [More Information]

2012

  • Crivelli, J., Foldes, J., Kim, P., Wares, J. (2012). A mathematical model for cell cycle-specific cancer virotherapy. Journal of Biological Dynamics, 6(Supp. 1), 104-120. [More Information]
  • Peet, M., Kim, P., Lee, P. (2012). Biological Circuit Models of the Immune Regulatory Response: a Decentralized Control System. 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011), New York, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Kim, P., Coxworth, J., Hawkes, K. (2012). Increased longevity evolves from grandmothering. Proceedings of the Royal Society B: Biological Sciences, 279(1749), 4880-4884. [More Information]
  • Kim, P., Lee, P. (2012). Modeling Protective Anti-Tumor Immunity via Preventative Cancer Vaccines Using a Hybrid Agentbased and Delay Differential Equation Approach. PLoS Computational Biology, 8(10), 1-16. [More Information]

2011

  • Hawkes, K., Kim, P., Kennedy, B., Bohlender, R., Hawks, J. (2011). A reappraisal of grandmothering and natural selection. Proceedings of the Royal Society B: Biological Sciences, 278(1714), 1936-1938. [More Information]
  • Kim, P., Lee, P., Levy, D. (2011). A Theory of Immunodominance and Adaptive Regulation. Bulletin of Mathematical Biology, 73(7), 1645-1665. [More Information]
  • Kim, P. (2011). Modeling Leukemia stem cell differentiation: Bridging agent-based and partial differential equation models. Advanced computer and information technologies, Yekaterinburg, Russia: Ural Federal University.
  • Mazenc, F., Kim, P., Niculescu, S. (2011). Stability of an imatinib and immune model with delays. IMA journal of mathematical control and information, 28(4), 447-462. [More Information]
  • Paquin, D., Kim, P., Lee, P., Levy, D. (2011). Strategic Treatment Interruptions During Imatinib Treatment of Chronic Myelogenous Leukemia. Bulletin of Mathematical Biology, 73(5), 1082-1100. [More Information]
  • Kim, P., Lee, P. (2011). T cell state transition produces an emergent change detector. Journal of Theoretical Biology, 275(1), 59-69. [More Information]

2010

  • Kim, P., Lee, P., Levy, D. (2010). Emergent Group Dynamics Governed by Regulatory Cells Produce a Robust Primary T Cell Response. Bulletin of Mathematical Biology, 72(3), 611-644. [More Information]
  • Doumic-Jauffret, M., Kim, P., Perthame, B. (2010). Stability Analysis of a Simplified Yet Complete Model for Chronic Myelogenous Leukemia. Bulletin of Mathematical Biology, 72(7), 1732-1759. [More Information]
  • Niculescu, S., Kim, P., Gu, K., Lee, P., Levy, D. (2010). Stability crossing boundaries of delay systems modeling immune dynamics in Leukemia. Discrete and Continuous Dynamical Systems - Series B, 13(1), 129-156. [More Information]

2009

  • Kim, P., Levy, D., Lee, P. (2009). Modeling and Simulation of the Immune System as a Self-Regulating Network. In Michael L Johnson and Ludwig Brand (Eds.), Methods in Enzymology: Volume 467 Computer Methods, Part B, (pp. 79-109). London: Academic Press.
  • Peet, M., Kim, P., Niculescu, S., Levy, D. (2009). New computational tools for modeling chronic myelogenous leukemia. Mathematical Modelling of Natural Phenomena, 4(2), 119-139. [More Information]

2008

  • Kim, P., Lee, P., Levy, D. (2008). A PDE Model for Imatinib-Treated Chronic Myelogenous Leukemia. Bulletin of Mathematical Biology, 70, 1994-2016. [More Information]
  • Kim, P., Lee, P., Levy, D. (2008). Dynamics and Potential Impact of the Immune Response to Chronic Myelogenous Leukemia. PLoS Computational Biology, 4(6), e1000095-17 pages. [More Information]
  • Kim, P., Lee, P., Levy, D. (2008). Modeling Imatinib-Treated Chronic Myelogenous Leukemia: Reducing the Complexity of Agent-Based Models. Bulletin of Mathematical Biology, 70(3), 728-744. [More Information]
  • Mazenc, F., Kim, P., Niculescu, S. (2008). Stability of a Gleevec and immune model with delays. 47th IEEE Conference on Decision and Control CDC 2008, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2007

  • Kim, P., Lee, P., Levy, D. (2007). Mini-Transplants for Chronic Myelogenous Leukemia: A Modeling Perspective. In Isabelle Queinnec, Sophie Tarbouriech, Germain Garcia and Silviu-Iulian Niculesc (Eds.), Biology and Control Theory: Current Challenges, (pp. 3-20). Germany: Springer. [More Information]
  • Kim, P., Lee, P., Levy, D. (2007). Modeling regulation mechanisms in the immune system. Journal of Theoretical Biology, 246(1), 33-69. [More Information]
  • Niculescu, S., Kim, P., Lee, P., Levy, D. (2007). On stability of a combined Gleevec and immune model in chronic leukemia: Exploiting delay system structure. 7th IFAC Symposium on Nonlinear Control Systems, Pretoria, South Africa: International Federation of Automatic Control (IFAC). [More Information]

2006

  • Niculescu, S., Kim, P., Gu, D., Levy, D. (2006). On the stability crossing boundaries of some delay systems modeling immune dynamics of leukemia. 17th International Symposium on Mathematical Theory of Networks and Systems, Japan: MTNS.

2005

  • DeConde, R., Kim, P., Levy, D., Lee, P. (2005). Post-transplantation dynamics of the immune response to chronic myelogenous. Journal of Theoretical Biology, 236(1), 39-59. [More Information]

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