• Led multiple growth projects from start to finish, including an SEO overhaul that resulted in a 449% increase in organic traffic, a newsletter launch with a 73% open rate, and new ads campaigns that x3.3 previous engagement time.• Designed, set up, and managed key systems and processes for collecting performance data for continuous monitoring and evaluation (inc. Google Analytics/Tag Manager).• Owned the full process of developing a scalable new website, including feature prioritization based on cost-effectiveness, and extensive technical work (e.g., all WordPress, CSS, HTML, and hosting setup), doubling organic traffic post launch.• Involved in related organizational aspects, including communication style, content strategy, audience definition, and brand design.

• Designed and taught two graduate courses: 'Quantitative Methods for Analysing Language Data' and 'Making Sense of Statistics'.• One graduate director characterized feedback on my teaching as “truly stellar”.• Covered various quantitative and computational methods (e.g., data wrangling, hypothesis testing, statistical modeling, and visualization).• Used various formats (e.g., online/in-person presentations, and R coding exercises).• Engaged with diverse audiences (including students, researchers, and staff from across the university).

• Conducted extensive interdisciplinary research dealing with data science and social science.• Communicated findings in prestigious international journals & conferences (e.g., Behavior Research Methods).• Worked both independently and collaboratively, including on research projects associated with industry partners (e.g., Education First).• Guided the analyses of diverse projects (including as an expert reviewer).Technical skills: I focused on inference from statistical models (e.g., linear regression, logistic/Poisson generalized linear models, and mixed-effects models), and on using scalable techniques to develop and analyze big datasets (e.g., cleaning & organizing tabular, relational, and textual data using various data mining techniques). In the course of this, I used various machine learning (ML) and natural language processing (NLP) techniques, like topic modeling for clustering. In addition, though most of my research involved computational methods in corpus linguistics, as a researcher, I've also used, taught, and reviewed many other approaches, like experiments and surveys/questionnaires.Programming/scripting languages & software packages: mainly R (e.g., dplyr and ggplot2 in tidyverse), some Python (e.g., pandas, NumPy, SciPy), and limited SQL.Soft skills: Verbal/written technical communication (inc. through public speaking and writing/editing reports and documentation), project management, and organizational management, among others.

• Built and ran two websites about applied psychology and philosophy (Effectiviology and Solving Procrastination).• The websites reached an annual audience of 1,500,000+ people, went viral multiple times on the front pages of Reddit and HN, were linked from places like Forbes and the NY Times, and led to media interviews in places like CNN and Vice.• Conducted all the data-driven development, analytics, marketing, and conversion rate optimization (inc. A/B testing).• Wrote 200 comprehensive research-based articles, on practical topics like decision-making, rationality, communication, ethics, motivation, learning, wellbeing, and productivity.• Worked as a consultant with various people and organizations, applying my expertise to help them improve their outcomes.