Florian Gerber
Data Scientist at Inter IKEA Group
florian.gerber@inter.ikea.com
I apply and develop cuttingedge machine learning methods for the analysis of large datasets.
Curriculum vitae
Experience 


2021 
Data scientist at Inter IKEA Group, Supply Chain Design & Planning, Pratteln, Switzerland 
2018 
PostDoc at the Applied Mathematics and Statistics Department, Colorado School of Mines, Golden CO, USA 
Visiting scientist at the National Center for Atmospheric Research, Boulder CO, USA  
2013— 
PhD assistant and PostDoc Department of Mathematics, University of Zurich, Switzerland 
2012— 
Junior statistician at the Institute of Social and Preventive Medicine, University of Bern, Switzerland 
2011— 
External statistics and R programming consultant for Novartis Pharma AG, Basel, Switzerland 
Education 


2017:  PhD in Applied Statistics, University of Zurich, Switzerland 
2013:  MSc in Biostatistics, University of Zurich, Switzerland 
2010:  BSc in Mathematics with minor in Philosophy, University of Bern, Switzerland 
2009:  Certificate in Interdisciplinary Studies in Ecology, University of Bern, Switzerland 
2006:  Matura, Gymnasiums BielSeeland, Switzerland 
Research
 develop cuttingedge machine learning methods for large datasets
 highperformance and cloud computing, statistical software
 Gaussian processes, Bayesian inference, neural networks, deep learning
 image processing for remote sensing, climate model, and medical applications
I. Use neural networks for fast covariance parameter estimation
 reduces the computing time for covariance parameter estimation of Gaussian process models by at least a factor of 100
 the TensorFlow implementation features a customized data generator defined using the Python API
 data illustration using climate model output from the LENS project
II. Parallel computing for Gaussian process models
 a Gaussian process model is fitted to a spatial dataset with 5 million observations
 highperformance computing with 512 CPUs in parallel is used
 uses crossvalidation and the division of the domain in overlapping subsets
III. Predicting missing values in spatiotemporal remote sensing data
 predictions are obtained by selecting subsets, sorting procedures, and quantile regression
 the workload can be distributed to several computers
 the method is available in the R package gapfill available on CRAN
IV. 64bit sparse matrices with the R package spam
 the R packages spam and spam64 provide methods for sparse matrices with more than 2^31 nonzero elements
 the R package dotCall64 provides an enhanced interface to link R with compiled code
 the new functionality of the R packages is illustrated with a nonstationary spatial model
Gerber F., Mösinger K, Furrer R. dotCall64: An Efficient Interface to Compiled C/C++ and Fortran Code Supporting Long Vectors, SoftwareX, 2018
V. Bayesian inference and medical applications
 assessment of inference methods for Bayesian hierarchical models
 spatial models for areal count data
 R package gsbDesign for operating characteristics of Bayesian clinical trial designs
Gerber F., Gsponer T. gsbDesign: An R Package for Evaluating the Operating Characteristics of a Group Sequential Bayesian Design, Journal of Statistical Software, 2016
Gsponer T., Gerber F., Bornkamp B., Ohlssen D., Vandemeulebroecke M., Schmidli H. Bayesian Group Sequential Designs for Clinical Trials and their Operating Characteristics, Pharmaceutical Statistics, 2014
Software
R packages on CRAN 

optimParallel:
Parallel versions of the LBFGSB optimizer

gapfill:
Fill missing values in satellite data

gsbDesign:
Operating characteristics for clinical, Bayesian trials designs

spam:
Sparse matrix algebra

spam64:
64bit extension of spam

dotCall64:
Enhanced foreign function interface supporting long vectors

fields:
Tools for spatial data

vcd:
Tools for categorical data

Python package on PyPI 
optimparallel:
Parallel versions of LBFGSB optimization method in scipy

Shiny R web application 
Shut the Box: A variant of the dice game 
R packages on CRAN 


optimParallel  Parallel versions of the LBFGSB optimizer  
gapfill  Fill missing values in satellite data  
gsbDesign  Operating characteristics for clinical, Bayesian trials designs  
spam  Sparse matrix algebra  
spam64  64bit extension of spam  
dotCall64  Enhanced foreign function interface supporting long vectors  
fields  Tools for spatial data  
vcd  Tools for categorical data  
Python package on PyPI 

optimparallel  Parallel versions of LBFGSB optimization method in scipy  
Shiny R web application 

Shut the Box  A variant of the dice game  
Publications
[16] Gerber, F. and Nychka, D. W. Fast covariance parameter estimation of spatial Gaussian process models using neural networks. Stat, 2022. doi: 10.1002/sta4.382
[15] Roman, F. Gerber, F., Schmid, B, and Furrer, R. Identification of dominant features in spatial data. Spatial Statistics, 2021. doi: 10.1016/j.spasta.2020.100483
[14] Gerber, F., and Nychka, D. W. Parallel crossvalidation: a scalable fitting method for Gaussian process models. Computational Statistics & Data Analysis, 2021. doi: 10.1016/j.csda.2020.107113
[13] Gerber, F., and Furrer, R. optimParallel: An R package providing a parallel version of the LBFGSB optimization method. The R Journal, 2019. doi: 10.32614/RJ2019030
[12] Heaton, M. J., Datta, A., Finley, A., Furrer, R., Guinness, J., Guhaniyogi, R., Gerber, F., Gramacy, R. B., Hammerling, D., Katzfuss, M., Lindgren, F., Nychka, D. W., Sun, F., and ZammitMangion, A. A case study competition among methods for analyzing large spatial data. Journal of Agricultural, Biological and Environmental Statistics, 2018. doi: 10.1007/s1325301800348w
[11] Warren, B. H., Hagen, O., Gerber, F., Thébaud, C., Paradis, E., and Conti, E. Evaluating alternative explanations for an association of extinction risk and evolutionary uniqueness in multiple insular lineages. Evolution, 2018. doi: 10.1111/evo.13582
[10] Gerber, F., Mösinger, K., and Furrer, R. dotCall64: An efficient interface to compiled C/C++ and Fortran code supporting long vectors. SoftwareX, 2018. doi: 10.1016/j.softx.2018.06.002
[9] Gerber, F., de Jong, R., Schaepman, M. E., SchaepmanStrub, G., and Furrer, R. Predicting missing values in spatiotemporal remote sensing data. IEEE Transactions on Geoscience and Remote Sensing, 2018. doi: 10.1109/TGRS.2017.2785240
[8] Gerber, F., Mösinger, K., and Furrer, R. Extending R packages to support 64bit compiled code: An illustration with spam64 and GIMMS NDVI_{3g} data. Computers & Geosciences, 2017. doi: 10.1016/j.cageo.2016.11.015
[7] Gerber, F. and Gsponer, T. gsbDesign: An R package for evaluating the operating characteristics of a group sequential Bayesian design. Journal of Statistical Software, 2016. doi: 10.18637/jss.v069.i11
[6] Bratulic, S., Gerber, F., and Wagner, A. Mistranslation drives the evolution of robustness in tem1 βlactamase. Proceedings of the National Academy of Sciences, 2015. doi: 10.1073/pnas.1510071112
[5] Gerber, F. and Furrer, R. Pitfalls in the implementation of Bayesian hierarchical modeling of areal count data: An illustration using BYM and Leroux models. Journal of Statistical Software, 2015. doi: 10.18637/jss.v063.c01
[4] Bashir, T., Sailer, C., Gerber, F., Loganathan, N., Bhoopalan, H., Eichenberger, C., Grossniklaus, U., and Ramamurthy, B. Hybridization alters spontaneous mutation rates in a parentoforigindependent fashion in Arabidopsis. Plant Physiology, 165(1):424–437, 2014. doi: 10.1104/pp.114.238451
[3] Gsponer, T., Gerber, F., Bornkamp, B., Ohlssen, D., Vandemeulebroecke, M., and Schmidli, H. A practical guide to Bayesian group sequential designs. Pharmaceutical Statistics, 2014. doi: 10.1002/pst.1593
[2] Gerber, F., Marty, F., Eijkel, G. B., Basler, K., Brunner, E., Furrer, R., and Heeren, R. M. A. Multiorder correction algorithms to remove image distortions from mass spectrometry imaging data sets. Analytical Chemistry, 2013. doi: 10.1021/ac402018e
[1] Wandeler, G., Gerber, F., Rohr, J., Chi, B., Orrell, C., Chimbetete, C., Prozesky, H., Boulle, A., Hoffmann, C., Gsponer, T., Fox, M., Zwahlen, M., Egger, M., and IeDEA S. A. Tenofovir or Zidovudine in secondline antiretroviral therapy after Stavudine failure in Southern Africa. Antiviral Therapy, 2013. doi: 10.3851/imp2710