• Provided academic support in math, physics, and chemistry for students in grades 11 and 12• Answered student questions and targeted specific areas of confusion during the tutoring sessions• Tracked student attendance and prepared summary notes for each lesson

• Provided academic support in English and math for students in grades 4 and above• Helped students set academic and personal goals• Answered student questions and targeted specific areas of confusion during the tutoring sessions• Assigned and reviewed students’ homework to assess their learning progress• Tracked student attendance and prepared summary notes for each lesson• Created pages of educational content on various subjects, including personal growth, English, and STEM topics

• Prepared presentations, examples, and exercises for individual and group lessons in elementary math• Answered student questions and targeted specific areas of confusion during the tutoring sessions• Assigned and corrected students’ homework to assess their learning progress through Google Classroom

• Supervised by Professor Dvira Segal• Conducted classical Molecular Dynamics simulations using LAMMPS software to analyze heat transport at nanojunctions• Conducted literature searches to determine optimal force field and potential parameters for simulations• Studied underlying properties of random walk networks through statistics, with applications to transport and chemical reactions• Studied ways of integrating machine learning and neural networks to generate simulation parameters• Studied ways of using machine learning on noise data to predict experimental temperature biases

• Coded and analyzed literature surrounding the use of ChatGPT and generative AI in postsecondary education• Visualized textual data from post-secondary institutions' academic policies using VOSViewer• Assisted in the preparation of an academic article and experimental tools (i.e. a survey and a Q-methodology instrument for post-secondary student participants)

• Planned and facilitated weekly review sessions for first-year engineering science students• Answered student questions and shared advice based on personal university experiences

• Analyzed data to better understand how engineering students’ experiences relate to their academic and career pathways• Conducted literature searches, reviewed relevant literature, and developed research questions• Supported the preparation of academic papers and survey data collection

• Analyzed uncertainties associated with the Higgs boson decay to two W bosons• Ran analyses with the Common Analysis Framework using Python, C++, and Unix in the Cedar cluster• Reproduced and verified previous results (supervised by Professor Pierre Savard)

• Reviewed and synthesized the literature on engineering students’ learning experiences and outcomes• Coded research articles based on their nature, research topic, analysis methods, and findings• Supported the preparation of academic papers and survey data collection

• Summer student with University Health Network's KITE Research Institute and Dr. Kei Masani's Motion and Adaptation Science Laboratory• Analyzed experimental data from a previous study and identified relations between quiet and perturbed standing• Tested simulations, conducted statistical tests, and generated graphs using MATLAB • Presented abstract and poster at the University of Toronto's Undergraduate Engineering Research Day• Participated in workshops hosted by the Undergraduate Summer Research Program surrounding ethics, safety, and academic writing