Personal statement

I want to solve your most challenging scientific and technical problems. Due to my diverse background and passion for learning, I have an extensive, expanding toolkit and will construct the right solution for your problem, instead of just seeing every problem as a nail.


Experience

Data Scientist/Applied Mathematician

2017 - present

I discover patterns and trends in data and convert these to actionable insights for my clients.

  • Project Portfolio
  • Client project exploring website traffic data to determine patterns in readership. Created visualizations of aggregate trends in reader acquisition, bounce rates (global and per post)
  • Exploratory analysis, feature engineering, and data visualizations in R
  • Machine Learning in R and Python: regression, classification, segmentation/clustering
  • Mathematical modeling: model development, analysis using dynamical systems approaches, and simulation techniques.
  • Computational algorithm development: expertise in numerical analysis

Principal Software Developer

Materials Resources LLC.

2013 - 2017

MRL is a scientific research start-up company focused on materials science data collection, analytics, and algorithm development. As the principal software developer, I converted research codes and algorithms into user-friendly web-based applications. By deploying these applications on Amazon Web Services (AWS), I made these tools available to our in-house team as well as providing access to external customers.

  • Developed feature identification algorithms using clustering with scikit-learn
  • Developed image segmentation algorithms using scikit-image
  • Created data visualizations using D3.js, Three.js, Matplotlib
  • Analyzed customer samples to determine outliers
  • Designed a noSQL database using mongoDB to facilitate integration of many applications into a common platform
  • Translated research codes written in Matlab into Python
  • Worked directly with the CEO to develop new applications from conception to deployment based on internal or customer needs.

Senior Research Associate

Octet Research Inc.

2016 - 2017

Octet Research provides mathematical modeling and simulation services to pharmaceutical companies for optimal drug development. As part of the research team, I laid the groundwork for future growth.

  • Analysis and simulation of ODE models for biological processes (including PK/PD, QSP)
  • Developed training materials for Non-linear Mixed Effect modeling, and Visual Predictive Check (VPC) in Matlab

Software Developer

Epic

2012 - 2013

Epic is a leader in electronic medical records (EMR) software. I was part of a large cross-disciplinary team focused on helping our customers succeed.

  • Contributed critical functionality to encode lab tests with LOINC identifiers, and share data using the HL7 standard.

Skills

  • Data Science: Exploratory Analysis, Machine Learning (Classification, Clustering, Regression), PCA
  • Data Visualization: ggplot2, Matplotlib, Three.js, D3.js
  • Applied Mathematics: Algorithm Development, Numerical Analysis, Mathematical Modeling & Simulation
  • Software Development: Python, R, Matlab, HTML5, JavaScript, C/C++, SQL, Amazon Web Services (AWS)
  • Databases: MongoDB, mySQL, Cache, postgreSQL
  • Healthcare Data: HL7, LOINC, SNOMED CT, Epic

Education

Ph.D.

Applied Mathematics

Northwestern University

2010

Advisor: Professor David Chopp
Dissertation: Locally Adaptive Time Stepping in Numerical Simulations for Neuroscience (pdf)


M.Sc.

Applied Mathematics

The University of British Columbia

2005

Advisor: Professor Leah Edelstein-Keshet
Thesis: Modeling the Onset of Type 1 Diabetes (pdf)


B.Sc. (Honors)

Mathematics

The University of Alberta

2003



Selected Publications

  • Kublik RA and Chopp DL (2016) A locally adaptive time stepping algorithm for the solution to reaction diffusion equations on branched structures Advances in Computational Mathematics, 42 (3):621-649

    Click here for more details.
  • Maree AFM, Kublik R, Finegood DT and Edelstein-Keshet L (2006) Modelling the onset of type 1 diabetes: can impaired macrophage phagocytosis make the difference between health and disease? Philosophical Transactions of the Royal Society A, 364:1267-1282.

    Click here for more details.