🪝 Co-organized and led weekly virtual and in-person professional development workshops, socials, industry panels, and Dean's luncheons to empower 1500+ women in their computer science and engineering careers with opportunities for both professional and personal development

🪝 Spearheaded web development efforts for the annual ECS Diversity & Leadership Summit, designed to support students in navigating the implications of AI on leadership and diversity from an industry standpoint

🪝 Motivated peers and reinforced efficient programming strategies through collaborative instruction in intro to computer science and mathematical structures courses to enhance student learning and career success

🪝 Led a team on campus to coordinate with six CS & ENGR departments to collect anonymous survey data on student culture, learning environment, sense of belonging, and microagressions in their computer science (and related fields) community

🪝 Fostered cross-collaboration with 12+ campus directors throughout the country to ensure the success of new year campaigns, prioritizing data-driven advocacy in the nonprofit space

🪝 Peer advised 100+ students from local community colleges in their respective data science and pairs trading summer research projects

🪝 1:1 mentored female freshmen and transfer students in adjusting to their academic environments via goal-setting strategies and problem solving methods

🪝 Co-hosted workshops on topics like overcoming imposter syndrome, mastering professional networking, and enhancing soft skills to empower students professionally

🪝 Selected for a competitive semester-long fellowship program to train in research methodologies and execute projects under the guidance of a faculty mentor

🪝 Implemented a rigorous learning analytics design process, developed the game on Unity, conducted a pilot study of 80 participants, and achieved predictive validity

🪝 Selected as a fellow for the NSF-funded Harnessing the Data Revolution Data Science Corps program, focusing on training STEM students in data analysis, scientific communication, and applying real-world data science approaches through academic and industry collaborations

🪝 Conducted research analyzing neuronal activity in rodents to study the hippocampus' role in non-spatial temporal events, using statistical tests and multinomial logistic regression to decode neuron ensemble activity during odor presentations, revealing a strong association with temporal organization