Luis F. Campos

About me

I'm a Data Science Manager at Etsy, Inc. where I focus on building tools to help teams build better machine learning algorithms by improving their datasets. I completed my PhD in Statistics at Harvard University in 2019 with a dissertation on the topic of model building.

I am interested in understanding the principles that lead to successful model building and developing tools to guide practitioners to this end. Thwork has always been guided by my collaborations with wonderful researchers in public health, political science, astrophysics and machine learning.

My work has been published in journals like Biostatistics, Human Molecular Genetics, American Journal of Medical Genetics, Stat, Communications in Statistics and Political Analysis. You can find a list of past and current projects below.

In my past I studied Mathematics and Statistics at the University of California, Davis, then more Statistics at University of California, Berkeley. After I had had enough of studying, I spent some time consulting in the San Francisco bay area before taking a position as a Statistician in the Biostatistics unit of the UC Irvine Institute for Clinical and Translational Sciences.

Education

• Ph.D. Statistics, Harvard University [2019]
• M.A. Statistics, University of California, Berkeley [2012]
• B.S. Mathematics and Statistics, University of California, Davis [2009]

Publications

2022

• Hunter KB, Glickman ME, Campos LF (2022) Inferring medication adherence from time-varying health measures. Statistics in Medicine, February 2022. doi:10.1002/sim.9351

2021

• Meyer AD, van Dyk DA, Kashyap V, Campos LF, Jones DE, Siemiginowska A, Zezas A (2021) eBASCS: Disentangling Overlapping Astronomical Sources II, using Spatial, Spectral, and Temporal Information. arXiv:2105.08606v1

2020

• Campos LF, Glickman ME, Hunter KB (2020) Measuring effects of medication adherence on time-varying health outcomes using Bayesian dynamic linear models. Biostatistics. doi: 10.1093/biostatistics/kxz059.

2019

• Campos Manzo, Luis Fernando. 2019. Fortunes and Misadventures With Parametric Models: They Can Be Confounding, Burdensome and Unstable, Yet Insightful, Powerful and Flexible. Doctoral dissertation, Harvard University, Graduate School of Arts & Sciences.
• Chen Y, Rhee CM, Şentürk D, Kurum E, Campos LF, Li Y, Kalantar-Zadeh K, and Nguyen DV (2019) Association of US Dialysis Facility Staffing with Profiling of Hospital-Wide 30-Day Unplanned Readmission. Kidney Diseases. doi: 10.1159/000496147.

2018

• Şentürk D, Chen Y, Estes JP,Campos LF, Rhee CM, Kalantar-Zadeh K and Nguyen DV (2018)Impact of Case-Mix Measurement Error on Estimation and Inference in Profiling of Health CareProviders., Communications in Statistics - Simulation and Computation, doi: 10.1080/03610918.2018.1515360
• Miratrix LW, Sekhon JS, Theodoridis AG, Campos LF (2018) Worth Weighting? How to Think About and Use Sample Weights in Survey Experiments. Political Analysis Volume 26, Issue 3, pp. 275-291. doi:10.1017/pan.2018.1.
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  • Winner of the Society for Political Methodology's 2019 Miller Prize for the best paper published in Political Analysis

2017

• Campos LF, Şentürk D, Chen Y, Nguyen DV (2017) Bias and estimation under misspecification of the risk period in self-controlled case series studies. Stat, 6: 4–13 doi:10.1002/sta4.166.

2015

• Book Review - Sudipto Banerjee, Bradley P. Carlin, and Alan E. Gelfand, Hierarchical Modeling and Analysis for Spatial Data (2nd ed.) Branson ZJ, Campos LF and Miratrix LW. Journal of the American Statistical Association, 110(512), 1818–1824
• Covarrubias N, Bhatia S, Yee S, Campos LF, Nguyen DV, Fish D, Chang E (2015) The relationship between taekwondo training habits and injury: A survey of a collegiate taekwondo population. Open Access Journal of Sports Medicine, 6, 121-127. PMID: 25960680

2012

• Hamlin A, Sukharev D, Campos L, Mu Y, Tassone F, Hessl D, Nguyen DV, Loesch D, Hagerman RJ (2012) Hypertension in FMR1 premutation males with and without fragile X-associated tremor/ataxia syndrome (FXTAS). American Journal of Medical Genetics, 158A, 1304-1309. PMID: 22528549

2011

• Narcisa V, Aguilar D, Nguyen DV,Campos LF, Brodovsky J, White S, Adams P, Tassone F,Hagerman PJ and Hagerman RJ (2011) A quantitative assessment of tremor and ataxia in female FMR1 premutation carriers using CATSYS. Current Gerontology and Geriatrics Research, vol 2011, Article 484713, 1-7. PMID: 23008705

2010

• Schwartzkroin PA, Wenzel HJ, Lyeth BG, Poon CC, DeLance A, Van KC, Campos LF and Nguyen DV (2010) Ketogenic diet modulation of seizure sensitivity and cell loss following fluid percussion injury. Epilepsy Research, 92, 74-84. PMID: 20863664
• Chonchaiya W, Tassone F, Ashwood P, Hessl D, Schneider A, Campos LF, Nguyen DV and Hagerman RJ (2010) Autoimmune disease in mothers with the FMR1 premutation is associated with seizures in their children with fragile X syndrome. Human Genetics, 128, 539-548. PMID: 2080927
• Garcia-Arocena D, Yang JE, Brouwer J, Tassone F, Iwahashi C, Berry-Kravis EM, Goetz CG, Sumis AM, Zhou L, Nguyen DV, Campos LF, Ludwig A, Raske C, Leehey M, Greco C, Willemsen R, Hagerman RJ, Hagerman PJ (2010) Fibroblast phenotype in male carriers of the FMR1 premutation alleles. Human Molecular Genetics, 15, 299-312. PMID: 19864489

Working Papers

Statistical Methodology:

• Campos LF, Miratrix LW (2019+) Bayesian Model-Assisted Estimation for Functional Data in Survey Sampling. Winner of the 2018 ASA Student Paper Competition for SSS/GSS/SRMS
• Campos LF, Yuan LH, Feller A, Miratrix LW (2019+). Worth Modeling? Model Adjustment for Causal Effects with Zero-Inflated Outcomes.

Previous Talks

• Modeling time-varying health outcomes and medication adherence, with Kristen Hunter at VA Medical Center, Bedford, MA, 12/5/2018
• Disentangling astronomical sources with spatial, spectral and temporal X-ray data with an application to binary Young Stellar Objects, Joint Research Conference 2018, Santa Fe, NM, 6/11-14/2018
• Bayesian Model-Assisted Estimation for Functional Data in Survey Sampling, Joint Statistical Meetings 2018, Vancouver, B.C., 7/28-8/2/2018
• Statistical Problems in Astrophysics, SACNAS New England Regional Conference 2018, Worcester, MA, 4/21/2018
• Estimating Causal Effects with Zero-Inflated Outcomes, The Society for Research in Educational Effectiveness, Spring Meeting 2018, Washington, D.C, 2/28/2018
• Disentangling astronomical sources with spatial, spectral and temporal X-ray data, RISE-ASTROSTAT Collaboration Meeting, Heraklion, Crete, Greece. 6/26/2017
• Bayesian Modeling of Functional Data in Survey Sampling, Harvard University, 4/19/2016
• Estimation under misspecification of the risk period in the self-controlled case series method with application to vaccine safety studies (continued work) - WNAR/IMS, University of Hawaii at Manoa, 6/17/2014
• A solution to the misspecification of the optimal risk period in the self-controlled case series method with application to vaccine safety - WNAR/IMS, UCLA, 6/16/2013

Teaching

I've had the pleasure of assisting in teaching several semester-long courses, here are some.

• Foundations of Quantitative Analysis and People Analytics for the Harvard Business Analytics Program, Harvard Business School in Fall 2018 to Summer 2019
• Statistical Inference I - Statistics 211, Harvard University in Fall 2017 with Lucas Janson
• Data Science - Computer Science 109B, Harvard University in Spring 2017 with Mark Glickman and others
• Statistical Inference I - Statistics 211, Harvard University in Fall 2016 with Tirthankar Dasgupta
• Introduction to Data Science - Biostatistics 260, Harvard University in Spring 2016 with Rafael Irizarry and Stephanie Hicks
• Data Science - Computer Science 109, Harvard University in Fall 2015 with Joe Blitzstein and others
• Introductory Probability and Statistics for Business - Statistics 21, U.C. Berkeley in Spring 2012