Over the years I've had the opportunity to work with countless talented people in both industry and academia to produce impactful and meaningful research. At Google, my focus has been on evaluating virtual and augmented reality experiences (with an emphasis on the hardware side of things). By combining both qualitative and quantitative research methodologies, my work serves to inform stakeholders and motivate the design of future products. During my time in academia I became proficient in a variety of highly specialized research techniques, including electroencephalography (EEG), event-related potentials (ERPs), eye-tracking, and cognitive-behavioral testing. Applying these skills, my research interests were geared towards understanding how much control we actually have over what we pay attention to in our visual world. This work has been published in high-impact journals and has been featured in a number of prominent pop-sci publications. If you'd like to know more about my work, my research, or anything else about me, please don't hesitate to contact me.
I have collaborated with cross-functional teams that include industrial designers, product designers, mechanical engineers, product managers, interaction designers, academics, and medical doctors to convert research findings into meaningful scientific and product advancements. This has been done on both large (n > 10k) and small datasets, using a range of both qualitative and quantitative research techniques. I also have experience conducting studies with a wide variety of participant populations, including special clinical groups.
I am experienced in both qualitative and quantitative experimental design. I have designed experimental paradigms using several programming languages and tools, including MATLAB (Psychtoolbox), Unity, Presentation, and E-Prime. In addition to creating the paradigms, I am also effective at conveying the justification for my methods to stakeholders, granting agencies, and research ethics boards.
I have a strong background in both frequentist and Bayes factor statistical testing using methods that include regression analyses, correlational analyses, ANOVAs, ANCOVAs, and t-tests. I am proficient doing analyses in MATLAB, R, SPSS, Data Studio, JASP, Excel, Sheets, and Prism.
My research has appeared in top-tier journals and has been featured in several pop-sci publications. I have given 10 invited talks and guest lectures at universities and colleges throughout North America. In addition to this, I have personally presented my research 14 times and have had my research presented by collaborators an additional nine times at national and international conferences.
I have been a teaching assistant 20 times since 2009 for a variety of college and university courses and have given numerous university lectures. I have mentored undergraduate and graduate students and was a member of the Canadian Institutes of Health Research (CIHR) Synapse Mentorship Program.
Thesis: Mechanisms of attentional processing during visual search: how distraction is handled by the brain
Thesis: Within- versus cross-dimensional capture in fixed-feature visual search