Steffen Eikenberry
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Phone: 480-567-8810
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PHYSICAL SCIENCES CENTER TEMPE, AZ 85287
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Mail code: 4501Campus: Tempe
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2016. MD. Keck School of Medicine of the University of Southern California, Los Angeles, CA.
2014. PhD. Biomedical Engineering. University of Southern California, Los Angeles, CA.
2008. MA. Mathematics. Arizona State University, Tempe, AZ.
2007. BS. Mathematics. Arizona State University, Tempe, AZ.
I am interested in applying both more traditional mathematical biology and dynamical systems methods, as well as modern AI and machine learning, to problems in healthcare, public health, cancer dynamics, epidemiology and infectious disease, and environmentalism and sustainability.
Recent publications:
1. Eikenberry SE, Iacona G, Murphy EL, Watson G, Gerber LR: Identifying opportunities for high resolution pesticide usage data to improve the efficiency of endangered species pesticide risk assessment. Sci. Total Environ. 2024, 921:170743.
2. Guerrero-Pineda C, Iacona GD, Duzy L, Eikenberry S, Frank AR, Watson G, Gerber LR. Prioritizing resource allocation to reduce adverse effects of pesticide risk for endangered species. Sci. Total Environ. 2024, 921:171032.
3. Bäck H, May R, Naidu DS, Eikenberry S. Effect of methane mitigation on global temperature under a permafrost feedback. GEC Advances. 2024, 2:100005.
4. Eikenberry S, Jones L, Guerrero-Pineda C: Wild Foods as Imperiled Ecosystem Service: Industrialized Harvesting Through Urban Foraging. In DellaSala DA, Goldstein MI (Eds). Imperiled: The Encyclopedia of Conservation. Elsevier, 2022. p. 69-76.
5. Harris DC, Mignucci-Jiménez G, Xu Y, Eikenberry SE, Quarles CC, Preul MC, Kuang Y, Kostelich EJ: Tracking glioblastoma progression after initial resection with minimal reaction-diffusion models. Math Biosci Eng. 2022, 19(6):5446-81.
6. Murphy EL, Eikenberry S, Iacona G, Watson G, Gerber LR: The value of increased spatial resolution of pesticide usage data for assessing risk to endangered species. Conserv Sci Pract. 2021, 12:e551.
7. Hews S, Eikenberry S, Nagy JD, Phan T, Kuang Y. Global dynamics and implications of an HBV model with proliferating infected hepatocytes. Applied Sciences. 2021, 11(17):8176.
8. Nikolopoulou E, Eikenberry S, Gevertz J, Kuang Y: Mathematical modeling of an immune checkpoint inhibitor and its synergy with an immunostimulant. Discrete Continuous Dyn Syst Ser B. 2021, 26(4): 2133-2159
9. Eikenberry SE, Mancuso M, Iboi E, Phan T, Eikenberry K, Kuang Y, Kostelich E, Gumel AB: To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic. Infect Dis Model. 2020, 5:293-308.
10. Ngonghala N, Enahoro I, Eikenberry S, Scotch M, MacInty CR, Bonds MH, Gumel AB: Mathematical assessment of the impact of non-pharmaceutical interventions on curtailing the 2019 novel coronavirus. Math Biosci. 2020, 325:108364.
11. Eikenberry SE: Hybrids are an effective transitional technology for limiting US passenger fleet carbon emissions. AIMS Environmental Science. 2020, 7(2): 117-139.
12. Iboi E, Eikenberry S, Gumel AB, Huijben S, Paaijmans K: Long-lasting insecticidal nets and the quest for malaria eradication: A mathematical modeling approach. J Math Biol. 2020, 81(1):113-158.
13. Han L, Eikenberry S, Changhan He, Johnson L, Preul M, Kostelich E, Kuang Y: Estimation of vital parameters of glioblastoma multiforme growth dynamics from a model with explicit birth and death rates. Math Biosci Eng. 2019, 16(5): 5307-5323.
14. Okuneye K, Eikenberry SE, Gumel A: Weather-driven malaria transmission model with gonotrophic and sporogonic cycles. J Biol Dyn. 2019, 13(sup1):288-324.
15. Eikenberry SE, Gumel A: Mathematics of malaria and climate change. In Kaper H, Roberts F (Eds). Mathematics of Planet Earth. Springer, 2019. p. 77-108.
16. Eikenberry SE, Gumel AB: Mathematical modeling of climate change and malaria transmission dynamics: A historical review. J Math Biol. 2018, 77(4):857-933.
Books:
Eikenberry SE: A fair share: Doing the math on individual consumption and global warming. 1st ed. Ingram Publishing; 2018. 510 p.
Kuang Y, Nagy JD, Eikenberry SE: Introduction to mathematical oncology. 1st ed. Boca Raton: CRC Press, Taylor & Francis Group; 2016. 488 p.
Courses
2026 Spring
| Course Number | Course Title |
|---|---|
| MAT 493 | Honors Thesis |
| MAT 495 | Undergraduate Research |
| DAT 494 | Special Topics |
| DAT 494 | Special Topics |
| DAT 435 | Explor & Analysis Environ Data |
| DAT 435 | Explor & Analysis Environ Data |
| TPH 554 | AI & ML in Public Health |
2025 Fall
| Course Number | Course Title |
|---|---|
| MAT 492 | Honors Directed Study |
| DAT 490 | Data Science Capstone |
| DAT 494 | Special Topics |
| DAT 494 | Special Topics |
| DAT 490 | Data Science Capstone |
2025 Summer
| Course Number | Course Title |
|---|---|
| MAT 499 | Individualized Instruction |
| DAT 494 | Special Topics |
| DAT 494 | Special Topics |
| DAT 435 | Explor & Analysis Environ Data |
| DAT 435 | Explor & Analysis Environ Data |
2025 Spring
| Course Number | Course Title |
|---|---|
| MAT 493 | Honors Thesis |
| MAT 495 | Undergraduate Research |
2024 Fall
| Course Number | Course Title |
|---|---|
| MAT 492 | Honors Directed Study |
| DAT 490 | Data Science Capstone |
| DAT 300 | Math Tools for Data Science |
| DAT 401 | Stat Model Inference Data Sci |
| DAT 494 | Special Topics |
2024 Summer
| Course Number | Course Title |
|---|---|
| MAT 499 | Individualized Instruction |
| DAT 401 | Stat Model Inference Data Sci |
2024 Spring
| Course Number | Course Title |
|---|---|
| MAT 493 | Honors Thesis |
| MAT 495 | Undergraduate Research |
| DAT 402 | Machine Learning-Data Science |
| DAT 490 | Data Science Capstone |
| DAT 494 | Special Topics |
| DAT 494 | Special Topics |
| DAT 401 | Stat Model Inference Data Sci |
| DAT 401 | Stat Model Inference Data Sci |
2023 Fall
| Course Number | Course Title |
|---|---|
| MAT 492 | Honors Directed Study |
| DAT 402 | Machine Learning-Data Science |
| DAT 301 | Exploring Data in R and Python |
| DAT 401 | Stat Model Inference Data Sci |
2023 Summer
| Course Number | Course Title |
|---|---|
| MAT 499 | Individualized Instruction |
2023 Spring
| Course Number | Course Title |
|---|---|
| MAT 493 | Honors Thesis |
| MAT 495 | Undergraduate Research |
| DAT 402 | Machine Learning-Data Science |
| DAT 401 | Stat Model Inference Data Sci |
| DAT 494 | Special Topics |
2022 Fall
| Course Number | Course Title |
|---|---|
| MAT 492 | Honors Directed Study |
| DAT 300 | Math Tools for Data Science |
| DAT 300 | Math Tools for Data Science |
| DAT 300 | Math Tools for Data Science |
| DAT 401 | Stat Model Inference Data Sci |
| DAT 401 | Stat Model Inference Data Sci |
2022 Summer
| Course Number | Course Title |
|---|---|
| MAT 499 | Individualized Instruction |
| DAT 300 | Math Tools for Data Science |
| DAT 300 | Math Tools for Data Science |
2022 Spring
| Course Number | Course Title |
|---|---|
| DAT 301 | Exploring Data in R and Python |
| DAT 300 | Math Tools for Data Science |
| DAT 301 | Exploring Data in R and Python |
| DAT 301 | Exploring Data in R and Python |
2021 Fall
| Course Number | Course Title |
|---|---|
| DAT 300 | Math Tools for Data Science |
| DAT 300 | Math Tools for Data Science |
| DAT 301 | Exploring Data in R and Python |
| DAT 300 | Math Tools for Data Science |
2021 Summer
| Course Number | Course Title |
|---|---|
| MAT 499 | Individualized Instruction |
2021 Spring
| Course Number | Course Title |
|---|---|
| MAT 591 | Seminar |
| MAT 394 | Special Topics |
Malaria, Climate, and Agriculture: History and Implications for the Future. African Academy of Sciences pre-event to the Intergovernmental Panel on Climate Change Outreach Event, Accra, Ghana, July 24, 2019.
Malaria: Uncertainty in future malaria potential across Africa: Dual threats of insecticide resistance and climate. U2 Can UQ: Showcasing Uncertainty Quantification Research at the University of Arizona, April 10, 2019.
Climate, Control and Resistance in Malaria Epidemiology: History and Mathematical Modeling. ASU Mathematical Biology Seminar, September 28, 2018.
Malaria and Global Environmental Change: History, Context, and Mathematics. Hands-On Research in Complex Systems School at the International Centre for Theoretical Physics, Trieste, Italy. July 24, 2018.