● Leading 3 end-to-end research projects over the past 2 years on emotion and human performance● Secured $17,500 in research funding from the NSERC CGS-M scholarship based on research potential ● Collected data from 50 participants using behavioural measures, surveys, and eye-tracking● Increased participant recruitment rates by 100% using participant databases and flyers● Analyzed datasets of over 1.6 GB using R, Python, and SPSS● Presented findings at 3 conference presentations

Project: HabitZone● Used evaluative research to identify usability issues in the app design● Collaborated with UX researchers to create a usability testing plan that aligned with user goals● Conducted usability testing of 6 participants to test the usability of the core app functions● Analyzed qualitative data using thematic analysis to identify pain points and directions for improvement

● Utilized agile and evaluative research methods to collect data about potential users to inform design personas● Designed and executed a survey to investigate pain points of users of mobile mental health applications● Performed data curation and analysis of survey data of 60 respondents● Collaborated with design and product management teams using Figma to drive research progress

● Used iterative design to develop an open-source catalog of over 190 neuroscience tools on GitHub ● Performed semi-structured interviews of 22 researchers to gather information on various data curation tools● Implemented fluid data management of all tools using Microsoft Excel● Presented catalog to internal stakeholders and external stakeholders at Roche Canada● Conducted focus groups to identify areas of concern on changes in recruitment policy● Expanded on pre-existing Powerpoints to create summary PowerPoints of the Integrated Discovery Program Brain-CODE data releases

Supervisor: Dr. Robert Rozeske● Discussed articles related to the neuroscience of fear, social dominance, and psychopathology in lab meetings● Created DeepLabCut pipeline in Google Collaborate to analyze mouse movements● Produced DeepLabCut documentation for other lab members to utilize● Presented and created slide deck to demonstrate DeepLabCut pipeline to other lab members● Optimized efficiency of DeepLabCut pipeline by over 900%

Thesis Supervisor: Dr. George Cree● Executed literature reviews on current neural network models of person perception● Created a neural network in Python to model how media influences impression formation● Performed manual object recognition on 1000 images to generate neural network training patterns● Conducted data analysis and visualization using Python● Experimented with learning rates, hidden units, and optimizers in a neural network using Tensorflow and Keras● Presented poster describing my work at UTSC Thesis Day and slide deck at the 2022 NeuroXChange Conference

Supervisor: Dr. Cendri Hutcherson● Conducted 3 studies studying how predictability influences impressions of morality and trustworthiness ● Performed literature reviews on impression formation● Designed experimental surveys on Qualtrics● Completed data manipulation and analysis of over 300 participants using R● Collaborated and brainstormed with internal stakeholders about computational modeling, framing effects, dual process models, and effects of attention on decision making● Ran experiments and collected data from participants using the eye-tracking hardware, EyeLink