I am a research scientist at Discover Financial Services. Previously, I held various academic positions: Assistant Adjunct Professor at UCLA Mathematics Department (2016-2019), Postdoctoral Research Associate in the Department of Biostatistics and Epidemiology at UMass Amherst (2015-2016), Visiting Assistant Professor in the Department of Mathematics and Statistics at UMass Amherst (2012-2015). During my Ph.D. I was fortunate to work as a researcher at the IACM-FORTH in Crete, Greece.
- Machine Learning Explainability and Game Theory
- Fairness of Machine Learning Algorithms
- Statistics and Probability in Data Analysis
- Financial Mathematics
- Partial Differential Equations (HCL)
- Computational Genomics
- Mathematical Biology
- A. Miroshnikov, K. Kotsiopoulos, R. Franks, A. Ravi Kannan, Wasserstein-based fairness interpretability framework for machine learning models, Machine Learning Journal. (2022). [pdf]
- A. Miroshnikov, M. Steinrücken, Computing the joint distribution of the total tree length across loci in populations with variable size. Theor. Popul. Biol. (2017). Vol. 118, p.1-19. [pdf]
- P.-E. Jabin, A. Miroshnikov, R. Young, Cellulose Biodegradation Models; an Example of Cooperative Interactions in Structured Populations. ESAIM: Mathematical Modelling and Numerical Analysis (2017), 51-6, 2289-2318. [pdf]
- A. Miroshnikov, R. Young, Weak* Solutions II: The Vacuum in Lagrangian Gas Dynamics. SIAM J. Math. Anal. (2017), 49(3), 1810-1843. [pdf].
- A. Miroshnikov, A. Tzavaras, On the Construction and Properties of Weak Solutions Describing Dynamic Cavitation, J. Elasticity (2015), 118-2, 141-185. [pdf]
- A. Miroshnikov, K. Trivisa, Relative Entropy in Hyperbolic Relaxation for Balance Laws, Comm. Math. Sciences. (2014), 12-6, 1017-1043. [pdf]
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