I lead experimentation and data mining operations to support clients so they can get the edge they need to dominate their industry.

I teach “Modeling for Inference” which focuses on accurate and meaningful story telling with data science. Gone are the days with simple hypothesis tests and the over reliance on p-values. The Modeling for Inference course is a comprehensive and holistic statistical modeling course focusing on methods students can adapt and use to answer their own hypotheses.

2017 - 2018In addition to diligently supporting clients with statistical analysis and programming, I successfully taught an “Introduction to R” course to undergraduate and graduate students with no programming background. The Introduction to R course is heavily based on data science and encompasses basic R programming up to the level of creating your very own R package.2014 - 2015I thoughtfully consulted clients which resulted in appropriate utilization of power analysis, regression analysis, structural equations modeling, and meta-analysis. I have also effectively taught and problem solved various issues regarding statistical programs and database query languages such as SAS, R, SPSS and SQL with clients.

▪ Research Associate, Dr. Michael Friendly's Quantitative Lab (2015 - 2018)I successfully collaborated with a group of statisticians to understand Medicare provider utilization by means of unsupervised classification methods and data visualization via choropleth maps, using SAS Studio with a Hadoop database provided by Amazon Workspaces, which resulted in a finalist position among 61 worldwide teams in a big data competition sponsored by SAS.▪ Research Assistant, Dr. Jolynn Pek's Quantitative Lab (2015 - 2017)I closely evaluated the quality and extracted data from published studies that use mediation analyses, as well as streamlined text and numeric data processing, screening, cleaning, and validation to curate a comprehensive database of published studies.▪ Student Researcher, Program Evaluation Unit, York Institute for Health Research (2011 - 2012)I efficiently supported multiple research projects simultaneously with the construction and analysis of surveys, in addition to focus groups and interviews, in the area of program evaluation and multicultural research.▪ Research Assistant, Neuroscience Laboratory, Milton & Ethel Harris Research Initiative (2009 - 2011)I gained the cooperation of children with Autistic Spectrum Disorder diagnosis and their parents for successful testing sessions with experiments utilizing Electroencephalography (EEG) and Event-Related Potential (ERP) methods, via PSTnet E-Prime and EGI Net Station software.

▪ Graduate level courses, York University (2015 - 2016)Univariate Statistics I: ANOVA Univariate Statistics II: Regression▪ Graduate level courses, York University (2014 - 2015)Univariate Statistics II: Regression, An Introduction to SAS for Windows ▪ Undergraduate level courses, York University (2013 - 2014)Introduction to Experimental PsychologyIntermediate Experimental Psychology Guest Lecturer▪ Lee, J. A. (2014, March 18). Statistical Theory & Data Analysis Using SPSS. Intermediate Experimental Psychology course. Lecture conducted from Glendon College, Toronto, ON.

I led research design and data analysis efforts for randomized wait-list clinical trials involving children diagnosed with various behavior difficulties. I also closely collaborated with researchers and created a scalable database system that is convenient for effective data cleaning as well as the remedial of missing and sparse data.

SAS Short Course, Econometrics of Financial MarketsI thoroughly assisted graduate students with SAS statistical software and statistical reasoning, while troubleshooting and problem solving within SAS in real time.

I led project management efforts in research administration, as well as literature review, study design, data collection and analysis for a systematic evaluation of various clinical interventions. I also productively recruited cohorts of participants for studies and collected participants’ data via face to face and the telephone to ensure a minimal dropout rate.