Steffen Eikenberry
-
Phone: 480-567-8810
-
-
PHYSICAL SCIENCES CENTER TEMPE, AZ 85287
-
Mail code: 1804Campus: Tempe
-
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 broadly interested in applying mathematical modeling to environmental problems, how humans have historically used energy and interacted with the environment, and the history of scientific thought. Three problems of especial interest include (1) modeling household level consumption and the potential for meaningful environmental harm reduction by changing individual consumption choices, (2) how the infectious disease of malaria has been affected by agriculture, land use, climate, and control measures throughout history, and (3) the potential to transition to a "sustainable" global society.
Additionally, I have a broad background in mathematical biology and modeling of cancer, especially as an ecologic process.
Some recent publications:
Eikenberry SE, Gumel AB: The relationship between insecticide resistance and malaria transmission is highly nonlinear: results from a data-driven mathematical model. Under review.
Iboi E, Eikenberry S, Gumel AB, Huijben S, Paaijmans K. Long-lasting insecticidal nets and the quest for malaria eradication: A mathematical modeling approach. Under review.
Eikenberry SE, Gumel A: Mathematics of malaria and climate change. To appear in: Mathematics of Planet Earth, eds. Kaper H, Roberts F.
Eikenberry SE, Gumel A: Mathematical modeling of climate change and malaria transmission dynamics: A historical review. J Math Biol. 2018, 77(4):857-933.
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
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 |
2020 Fall
| Course Number | Course Title |
|---|---|
| MAT 591 | Seminar |
| MAT 275 | Modern Differential Equations |
2020 Spring
| Course Number | Course Title |
|---|---|
| MAT 591 | Seminar |
| MAT 451 | Mathematical Modeling |
| APM 598 | Special Topics |
| MAT 394 | Special Topics |
2019 Fall
| Course Number | Course Title |
|---|---|
| MAT 451 | Mathematical Modeling |
| MAT 591 | Seminar |
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.