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Gene Leynes

City of Chicago
Data Scientist
Chicago

I'm a data scientist for the City of Chicago, I'll be doing a talk about using R and Machine Learning to prioritize our Food Inspection process.
I started my professional career as an Actuarial Consultant.
I'm really interested in environmental sensing / remote sensors, and have several Raspberry Pi's doing various things around the house.
I'm a recent father of twins, which is really what I like talking about!

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140

10:15am PDT

Coffee Break Econ 140

10:30am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140

12:00pm PDT

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1) Lane

2:15pm PDT

Coffee Break McCaw Hall

2:30pm PDT

Effective Shiny Programming (Part 2) McCaw Hall Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2) Lane

4:00pm PDT

Short Break McCaw Hall

4:15pm PDT

What's up with the R consortium? McCaw Hall

4:40pm PDT

Presentation of the Women in R task force McCaw Hall

5:00pm PDT

R-Ladies Presentation 1 McCaw Hall

5:10pm PDT

R-Ladies Presentation 2 McCaw Hall

5:20pm PDT

Discussion McCaw Hall

8:00am PDT

Registration check-in McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

R in machine learning competitions McCaw Hall

10:48am PDT

Connecting R to the OpenML project for Open Machine Learning McCaw Hall

11:06am PDT

trackeR: Intrastructure for running and cycling data from GPS-enabled tracking devices in R McCaw Hall

11:24am PDT

United Nations World Population Projections with R McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm PDT

A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho SIEPR 120

1:54pm PDT

Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny SIEPR 120

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall Curde: Analytical curves detection Sponsor Pavilion Making Shiny Seaworthy: A weighted smoothing model for validating oceanographic data at sea. Sponsor Pavilion Multi-stage Decision Method To Generate Rules For Student Retention Sponsor Pavilion Urban Mobility Modeling using R and Big Data from Mobile Phones Sponsor Pavilion Using R in the evaluation of psychological tests Sponsor Pavilion Visualization of health and population indicators within urban African populations using R Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions SIEPR 130

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130 Inside the Rent Zestimates Barnes & McDowell & Cranston

5:39pm PDT

RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

5:57pm PDT

Colour schemes in data visualisation: Bias and Precision McCaw Hall

6:30pm PDT

Welcome Reception Bing Concert Hall

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Importing modern data into R SIEPR 130 Notebooks with R Markdown McCaw Hall OPERA: Online Prediction by ExpeRts Aggregation Barnes & McDowell & Cranston

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

10:48am PDT

Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R McCaw Hall

10:50am PDT

madness: multivariate automatic differentiation in R SIEPR 120

10:55am PDT

rempreq: An R package for Estimating the Employment Impact of U.S. Domestic Industry Production and Imports SIEPR 120

11:00am PDT

Text Mining and Sentiment Extraction in Central Bank Documents SIEPR 120

11:05am PDT

Maximum Monte Carlo likelihood estimation of conditional auto-regression models SIEPR 120

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall Interactive Terabytes with pbdR Econ 140

11:45am PDT

Automated risk calculation in clinical practice and research - the riskscorer package SIEPR 120

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

A spatial policy tool for cycling potential in England SIEPR 120 R at Google Lane & Lyons & Lodato

1:18pm PDT

How to use the archivist package to boost reproducibility of your research Barnes & McDowell & Cranston SpatialProbit for fast and accurate spatial probit estimations SIEPR 120

1:36pm PDT

Extending CRAN packages with binaries: x13binary SIEPR 130 Revisiting the Boston data set (Harrison and Rubinfeld, 1978) SIEPR 120

1:54pm PDT

Spatial data in R: simple features and future perspectives SIEPR 120

2:12pm PDT

High performance climate downscaling in R SIEPR 120

2:30pm PDT

Coffee Break with Poster Session McCaw Hall hurdlr: An R package for zero-inflated and over-dispersed count data Sponsor Pavilion Logistic modelling of increased antibacterial resistance with sales Sponsor Pavilion Reproducible research works_with_R Sponsor Pavilion request: A DSL for http requests Sponsor Pavilion The Use of Ensemble Learning Methods in Open Source Data Challenges Sponsor Pavilion Time Flies - Use R to Analyze the Changing Airline Industry Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

4:30pm PDT

Cruise & Conference Dinner McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:00am PDT

Coffee Break w/ Poster Exhibits McCaw Hall

10:30am PDT

Gradient Boosted Trees Model: deploying R models into production environments* Lane & Lyons & Lodato

10:48am PDT

Authoring Books with R Markdown McCaw Hall Practical tools for exploratory web graphics SIEPR 130

10:50am PDT

ranger: A fast implementation of random forests for high dimensional data Lane & Lyons & Lodato NetworkRiskMeasures: risk measures for (financial) networks, such as DebtRank, Impact Susceptibility, Impact Diffusion and Impact Fluidity. Econ 140

10:55am PDT

GeoFIS: an R-based open source software for analyzing and zoning spatial data Econ 140

11:06am PDT

Estimation of causal effects in network-dependent data McCaw Hall

11:10am PDT

Event Detection with Social Media Data Econ 140

11:15am PDT

Convenient educational & psychological test reporting with the QME package & a Shiny UI Econ 140

11:25am PDT

Outlier Detection Methods Econ 140

11:26am PDT

Big data algorithms for rank-based estimation Lane & Lyons & Lodato

11:30am PDT

gtfsr: A package to make transit system analysis easy Econ 140

11:35am PDT

Handling Huge Hierachical Data in R Econ 140

11:40am PDT

rfmt - A new formatter for R source code Econ 140

11:42am PDT

Most Likely Transformations McCaw Hall rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics SIEPR 130

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Estimating causal dose response functions using the causaldrf R package McCaw Hall

1:15pm PDT

Getting R into your bathroom McCaw Hall

1:25pm PDT

Two Cultures: From Stata to R McCaw Hall

1:30pm PDT

The Best Time to Post on Reddit McCaw Hall

1:40pm PDT

Let's meet on satRday! McCaw Hall

1:45pm PDT

Optimizing Food Inspections with Analytics McCaw Hall

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall

3:00pm PDT

Closing Remarks McCaw Hall