个人简介
David Waxman carries out research work in quantitative biology using mathematical and computational methods. Since July 2011 he has been working full time in Fudan University, Shanghai, initially under the Chinese Government Foreign Expert (Qianren) Program. He has published research papers in well-known journals including Nature, Science, PNAS, Genetics and Evolution. He has served on the Editorial Board of journals such as Science, American Naturalist, Journal of Theoretical Biology and Theoretical Population Biology.
研究领域
My research comes under the heading of theoretical biology, and is focussed on evolution, population genetics and more generally on quantitative biology. I am interested in understanding and explaining some of the complex phenomena exhibited by populations of living organisms. I develop and analyse theoretical models, which usually have random or stochastic aspects, using mathematics, statistics and computer simulations.
近期论文
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Homogenizing entropy across different environmental conditions: A universally applicable method for transforming continuous variables JR Peck, D Waxman IEEE Transactions on Information Theory Accepted for publication (2022)
Theoretically quantifying the direct and indirect benefits of vaccination against SARS-CoV-2 in terms of avoided deaths G Scutt, M Cross, D Waxman Scientific Reports, Volume 12, Article number: 8833 (2022)
Correcting bias in allele frequency estimates due to an observation threshold: A Markov chain analysis TI Gossmann, D Waxman Genome Biology and Evolution, Volume 14, Issue 4 (2022)
Loss and fixation of strongly favoured new variants: Understanding and extending Haldane’s result via the Wright–Fisher model K Mavreas, TI Gossmann, D Waxman BioSystems 221 (Supplement 1): b104759 (2022)
Increased brain volume from higher cereal and lower coffee intake: Shared genetic determinants and impacts on cognition and metabolism Jujiao Kang, Tianye Jia, Zeyu Jiao, Chun Shen, Chao Xie, Wei Cheng, Barbara J Sahakian, David Waxman, Jianfeng Feng Cerebral Cortex 32: 5163–5174 (2022)
Improved estimates of mean pharmacokinetic parameters for increased accuracy in dosing and reduced risk to patients G Scutt, D Waxman British Journal of Clinical Pharmacology, 87( 9): 3518– 3530 (2021)
Impact of intra and inter-cluster coupling balance on the performance of nonlinear networked systems Jiachen Ye, Peng Ji, David Waxman, Wei Lin, Yamir Moreno Chaos, Solitons and Fractals 139, 110065 (2020)
Lethal mutations with fluctuating heterozygous effect: the lethal force of effective dominance Andrew Overall and David Waxman Journals of Human Genetics 65, 1105-1113 (2020)
Influence of Dominance and Drift on Lethal Mutations in Human Population David Waxman and Andrew Overall Frontiers in Genetics 11, 267 (2020)
Safe prognostication following cardiac arrest: The role of the pharmacokinetics of fentanyl in patients treated with targeted temperature management F Baldwin, R Gray, O Boyd, D Waxman, B Pater, M Allen, G Scutt Resuscitation 149: 10-16 (2020)
Predicting drug-disease associations with heterogeneous network embedding K Yang, X Zhao, D Waxman, XM Zhao Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 123109 (2019)
Estimating a drug's elimination rate-constant or half-life from a single blood sample: A practical approach with particular benefits for critically ill/vulnerable patients Greg Scutt, Marcus Allen, David Waxman Biosystems 103996 (2019)
Effects of dynamical and structural modifications on synchronization Lijia Chen, Peng Ji, David Waxman, Wei Lin, and Juergen Kurths Chaos 29, 083131 (2019)
Sub- or supercritical transmissibilities in a finite disease outbreak: Symmetry in outbreak properties of a disease conditioned on extinction David Waxman, Pierre Nouvellet Journal of Theoretical Biology 467: 80-86 (2019)
What is adaptation and how should it be measured? Joel Peck, David Waxman Journal of Theoretical Biology 447: 190-198 (2018)
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