CV

Professional experience

2019 - .Research Assistant Professor 
 Michigan State University, Department of Statistics & Probability and FRIBEast Lansing
2017 - .Research Associate 
 Michigan State University, Department of Statistics & Probability and FRIBEast Lansing
2013 - 2017Teaching Assistant 
 Columbia University, Department of StatisticsNew York
Summer 2015Quantitive Analyst 
 BNP Paribas, FIRSTNew York
Summer 2013Research Intern 
 Universidad de Valparaiso, CIMFAVValparaiso
Summer 2012Quantitive Analyst 
 Zeliade SystemsParis

Education

Publications

V. Kejzlar, L. N., W. Nazarewicz & P.-G. Reinhard (2020). "Statistical aspects of nuclear mass models." J. Phys. G. [journal] [arxiv]

L. N., Y. Cao, S.A. Giuliani, W. Nazarewicz, Erik Olsen & O.B. Tarasov (2020). "Quantified limits of the nuclear landscape." Phys. Rev. C 101(3), 044307. [journal] [arxiv]

L. N., Y. Cao, S.A. Giuliani, W. Nazarewicz, E. Olsen & O.B. Tarasov (2020). "Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei." Phys. Rev. C 101(1), 014319. [journal] [arxiv]

J. Arnetz, L.N., S. Sudan, T. Maiti, B. Arnetz & F. Viens (2020). "Nurse-reported bullying is associated with documented adverse patient events: an exploratory study in a U.S. hospital." J. Nurs. Care Qual. 35(3). [journal]

Y. Hao & L. N. (2019). "Application of Bayesian inference in accelerator commissioning of FRIB." Proceedings of the 10th Int. Particle Accelerator Conf. [journal]

Y. Hao, Y. Li, M. Balcewicz, L. N. & W. Cheng (2019). "Application of Bayesian inference in accelerator commissioning of FRIB." Preprint. [arxiv]

G. King, A. Lovell, L. N. & F. Nunes (2019). "Direct comparison between Bayesian and frequentist uncertainty quantification for nuclear reactions." Phys. Rev. Lett. 122(23), 232502. [journal] [arxiv]

V. Kejzlar, L. N., T. Maiti & F. Viens (2019). "Bayesian mixing of computer models: a nuclear physics perspective." Preprint. [arxiv]

L. N. & P. Protter (2019). "Expansion of a filtration with a stochastic process: the information drift." Preprint. [arxiv]

L. N., Y. Cao, W. Nazarewicz, E. Olsen & F. Viens (2019). "Neutron dripline in the Ca region from Bayesian model averaging." Phys. Rev. Lett. 122(6), 062502. [journal] [arxiv]

L. N., Y. Cao, W. Nazarewicz & F. Viens (2018). "Bayesian approach to model-based extrapolation of nuclear observables." Phys. Rev. C 98(3), 034318. [journal] [arxiv]

L. N. (2017). "Expansion of a filtration with a stochastic process: a high-frequency trading perspective." PhD Thesis, Columbia University. [journal]

G. Guo, A. Jacquier, C. Martini & L. N. (2016). "Generalized arbitrage free SVI volatility surfaces." SIAM J. Finan. Math. 7(1). [journal] [arxiv]

L. N. & F. Viens. (2016). "A third-moment theorem and precise asymptotics for variations of stationary Gaussian sequences." ALEA, Lat. Am. J. Probab. Math. Stat. 13(1). [journal] [arxiv]

Teaching