Luke Bornn


Assistant Professor of Statistics
Simon Fraser University

Find Out More

About


I am an Assistant Professor of Statistics at Simon Fraser University and a Visiting Scholar at Harvard University. My research is focused on high dimensional spatio-temporal data, with applications to environmental and climate modeling, optical tracking in sports, and structural health monitoring amongst others. I'm also interested in the corresponding computational problems, mainly in the form of Monte Carlo methods. By way of background, I completed my PhD at UBC under the co-supervison of Arnaud Doucet and Jim Zidek in 2012, then subsequently spent a few years on the tenure-track in the Harvard Statistics Department before returning to Vancouver via Simon Fraser.

Download my CV

The Bornn Lab


img
Luke Bornn
Principal Investigator

Luke's research focuses on spatial and spatio-temporal modeling, with applications in sports analytics, climate, and structural health.

img
Mathieu Gerber
Postdoctoral Fellow

Mathieu's research is focused on computational statistics with a special interest in sequential Monte Carlo and Quasi-Monte Carlo.

img
Reza Solgi
Postdoctoral Fellow

Reza's research looks at nonparametric modeling applied to econometric problems. He is also interested in Monte Carlo computation.

img
Andrew Miller
PhD Candidate

Andy's research focuses on probabilistic modeling and approximate inference with applications ranging from astronomy to basketball.

img
Jacob Mortensen
PhD Student

Jacob's research focuses on developing statistical and machine learning methods applied to problems in basketball and sports more broadly.

img
Nathan Sandholtz
PhD Student

Nate's research focuses on developing statistical and machine learning methods applied to problems in basketball and sports more broadly.

img
Matthew van Bommel
MSc Student

Matt's research focuses on statistics and machine learning applied to quantifying errors and biases in player evaluation in basketball.

Papers


Adjusting for Scorekeeper Bias in NBA Box Scores
w/ Matthew van Bommel
Preprint
Download PDF
Convergence Results for a Class of Time-Varying Simulated Annealing Algorithms
w/ Mathieu Gerber
Preprint
Download PDF
Moment conditions and Bayesian nonparametrics
w/ Neil Shephard, Reza Solgi
Preprint
Download PDF
Improving Simulated Annealing through Derandomization
w/ Mathieu Gerber
Journal of Global Optimization, 2017
Download PDF
The positive effects of population-based preferential sampling in environmental epidemiology
w/ Joey Antonelli, Matt Cefalu
Biostatistics, 2016
Download PDF
The Pressing Game: Optimal Defensive Disruption in Soccer
w/ Iavor Bojinov
Sloan Sports Analytics Conference, 2016
Download PDF
NBA Court Realty
w/ Dan Cervone, Kirk Goldsberry
Sloan Sports Analytics Conference, 2016
Download PDF
The Use of a Single Pseudo-Sample in Approximate Bayesian Computation
w/ Natesh Pillai, Aaron Smith, Dawn Woodard
Statistics and Computing, 2016
Download PDF
A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes
w/ Dan Cervone, Alex D’Amour, Kirk Goldsberry
Journal of the American Statistical Association, 2016
Download PDF
Modeling and Diagnosis of Structural Systems through Sparse Dynamic Graphical Models
w/ Chuck Farrar, Dave Higdon, Kevin Murphy
Mechanical Systems and Signal Processing, 2016
Download PDF
Herded Gibbs Sampling
w/ Yutian Chen, Mareija Eskelin, Jing Fang, Nando de Freitas, Max Welling
Journal of Machine Learning Research, 2016
Download PDF
Counterpoints: Advanced Defensive Metrics for NBA Basketball
w/ Alex Franks, Kirk Goldsberry, Andy Miller
Sloan Sports Analytics Conference, 2015
Download PDF
Move or Die: How Ball Movement Creates Open Shots in the NBA
w/ Dan Cervone, Alex D'Amour, Kirk Goldsberry
Sloan Sports Analytics Conference, 2015
Download PDF
Classifying X-ray Binaries:
A Probabilistic Approach
w/ Giri Gopalan, Saku Vrtilek
The Astrophysical Journal, 2015
Download PDF
Connecting Point-Level and Gridded Moments in the Analysis of Climate Data
w/ Hannah Director
Journal of Climate, 2015
Download PDF
Characterizing the Spatial Structure of Defensive Skill in Professional Basketball
w/ Alex Franks, Kirk Goldsberry, Andy Miller
Annals of Applied Statistics, 2015
Download PDF
A Mixture-of-Modelers Approach to Forecasting NCAA Tournament Outcomes
w/ Anthony Liu, Lo-Hua Yuan, et al.
Journal of Quantitative Analysis in Sports, 2015
Download PDF
Fast and optimal nonparametric sequential design for astronomical observations
w/ Justin Yang, Xufei Wang, Pavlos Protopapas
Unpublished, 2015
Download PDF
Diversifying Sparsity Using Variational Determinantal Point Processes
w/ Kayhan Batmanghelich, Gerald Quon, Alex Kulesza, Manolis Kellis, Polina Golland
Unpublished, 2015
Download PDF
POINTWISE: Predicting Points and Valuing Decisions in Real Time with NBA Optical Tracking Data
w/ Dan Cervone, Alex D'Amour, Kirk Goldsberry
Sloan Sports Analytics Conference, 2014
Download PDF
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball
w/ Ryan Adams, Kirk Goldsberry, Andy Miller
International Conference on Machine Learning, 2014
Download PDF
PAWL-Forced Simulated Tempering
Proc. Bayesian Young Statisticians Meeting, 2013
Download PDF
An Adaptive Interacting Wang-Landau Algorithm for Automatic Density Exploration
w/ Pierre Del Moral, Arnaud Doucet, Pierre Jacob
Journal of Computational and Graphical Statistics, 2013
Download PDF
Sequential Monte Carlo Bandits
w/ Michael Cherkassky
Unpublished, 2013
Download PDF
Modeling Non-Stationary Processes Through Dimension Expansion
w/ Gavin Shaddick, Jim Zidek
Journal of the American Statistical Association, 2012
Download PDF
Bayesian Clustering in Decomposable Graphs
w/ Francois Caron
Bayesian Analysis, 2012
Download PDF
Forecasting with Historical Data or Process Knowledge under Misspecification: A Comparison
w/ Marian Anghel, Ingo Steinwart
Unpublished, 2012
Download PDF
Sparsity-Promoting Bayesian Dynamic Linear Models
w/ Francois Caron, Arnaud Doucet
Unpublished, 2012
Download PDF
Efficient Stabilization of Crop Yield Prediction in the Canadian Prairies
w/ Jim Zidek
Agricultural and Forest Meteorology, 2011
Download PDF
Vibration Characteristics of Vaulted Masonry Monuments Undergoing Differential Support Settlement
w/ Sezer Atamturktur, Francois Hemez
Engineering Structures, 2011
Download PDF
Assessment and Management of Anemia in a Population of Children Living in the Indian Himalayas: A Student-Led Initiative
w/ Diala El-Zammar, Matthew Yan, et al.
UBC Medical Journal, 2011
Download PDF
Damage Detection in Initially Nonlinear Systems
w/ Charles Farrar, Gyuhae Park
International Journal of Engineering Science, 2010
Download PDF
An Efficient Computational Approach for Prior Sensitivity and Cross-validation
w/ Arnaud Doucet, Raphael Gottardo
Canadian Journal of Statistics, 2010
Download PDF
Grouping Priors and the Bayesian Elastic Net
w/ Arnaud Doucet, Raphael Gottardo
Unpublished, 2010
Download PDF
Structural Health Monitoring with Autoregressive Support Vector Machines
w/ Kevin Farinholt, Charles Farrar, Gyuhae Park
Journal of Vibration and Acoustics, 2009
Download PDF

Get In Touch!


I'm always looking for great people to join my lab. Don't hesitate to get in touch if interested.