Steffen Eikenberry


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 datadriven mathematical model. Under review.
Iboi E, Eikenberry S, Gumel AB, Huijben S, Paaijmans K. Longlasting 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):857933.
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
2024 Fall
Course Number  Course Title 

MAT 492  Honors Directed Study 
DAT 490  Data Science Capstone 
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 LearningData 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 LearningData 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 LearningData 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 preevent 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. HandsOn Research in Complex Systems School at the International Centre for Theoretical Physics, Trieste, Italy. July 24, 2018.