Author/Title Research Type Related Fields
Bradley C. Naylor, Christian N. K. Anderson, Marcus Hadfield, David H. Parkinson, Austin Ahlstrom, Austin Hannemann, Chad R. Quilling, Kyle J. Cutler, Russell L. Denton, Robert Adamson, Thomas E. Angel, Rebecca S. Burlett, Paul S. Hafen, John. C. Dallon, Mark K. Transtrum, Robert D. Hyldahl, and John C. Price.  "Utilizing Nonequilibrium Isotope Enrichments to Dramatically Increase Turnover Measurement Ranges in Single Biopsy Samples from Humans" (Sep 2022).  Journal of Proteome Research 2022 21 (11), 2703-2714.  DOI: 10.1021/acs.jproteome.2c00380.  Link: Publications, Articles
Liu, Y.H., Smith, S., Mihalas S., Shea-Brown E., Sumbul U., “Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators”, Advances in Neural Information Processing Systems, 2022. Publications, Articles
Angelini E, Wang Y, Zhou JX, Qian H, Huang S (2022) A model for the intrinsic limit of cancer therapy: Duality of treatment-induced cell death and treatment-induced stemness. PLoS Comput Biol 18(7): e1010319. Publications
Liu, Y.H., Ghosh A., Richards B. A., Shea-Brown E., Lajoie G., “Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules”, Advances in Neural Information Processing Systems, 2022.  Publications, Articles
Maass, K., Aravkin, A., & Kim, M. (2021). A feasibility study of a hyperparameter tuning approach to automated inverse planning in radiotherapy. arXiv preprint arXiv: arXiv:2105.07024. Publications, Articles
 Maass, K., Kim, M., & Aravkin, A. (2020). A nonconvex optimization approach to IMRT planning with dose-volume constraints. arXiv preprint arXiv:1907.10712.  Publications, Articles
Ahlstrom, Austin, "Computational Regiospecific Analysis of Brain Lipidomic Profiles" (2019). Undergraduate Honors Theses. 70. Publications, Articles
Maass, K., & Kim, M. (2019). A Markov decision process approach to optimizing cancer therapy using multiple modalities. Mathematical Medicine and Biology: A Journal of the IMA. doi:10.1093/imammb/dqz004. Publications, Articles
D. Rim, S. Moe, and R. J. LeVeque, Transport Reversal for Model Reduction of Hyperbolic Partial Differential Equations, SIAM/ASA Journal on Uncertainty Quantification 6(2018), pp. 118-150. doi:10.1137/17M1113679 Publications, Articles
Mark Kot. (2014) A First Course in the Calculus of Variations. American Mathematical Society.  Publications, Books
Ka-Kit Tung. (2007) Topics in Mathematical Modeling. Princeton University Press Publications, Books
Randall LeVeque. (2007) Finite Difference Methods for Ordinary and Partial Differential Equations. SIAM. Publications, Books
Randall LeVeque. (2002) Finite Volume Methods for Hyperbolic Problems. Cambridge University Press. Publications, Books
Mark Kot. (2001) Elements of Mathematical Ecology. Cambridge University Press.  Publications, Books
Randall LeVeque, D. Mihalas, E. Dorfi, E. Mueller. (1998) Computational Methods for Astrophysical Fluid Flow. Springer-Verlag. Publications, Books
Randall LeVeque. (1990) Numerical Methods for Conservation Laws. Birkhauser-Verlag Basel.  Publications, Books
Anne Greenbaum. (1987) Iterative Methods for Solving Linear Systems. SIAM. Publications, Books
Liu, Y.H., Baratin A., Cornford J., Mihalas S., Shea-Brown E., Lajoie G., “How connectivity structure shapes rich and lazy learning in neural circuits”, International Conference on Learning Representations (ICLR), 2024 (accepted).  Publications, Articles