I am currently pursuing my Ph.D. at the University of British Columbia, where I specialize in the confluence of data science and animal welfare. My approach integrates advanced data analytics and machine learning techniques to understand animal behaviours and improve animal welfare. My work encompass utilizing Elo rating and Bayesian statistics for in-depth analysis of cows' social dominance hierarchies under various competition, developing new automatic pipeline for early detection of lameness in dairy cows. Outside the realm of research, I am dedicated to education, simplifying machine learning concepts for high school students through interactive workshops. As a proud female figure in the technological arena, I am committed to inspiring a new era of women scientists. At the core of my work is a profound commitment to harnessing AI's potential to monitor and improve animal wellbeing.

1. Discussion about AI and Livestock Farming: [1] Discussions about the use of AI in animal welfare and precision livestock farming. [2] Interested in examining the complexities and impacts of these technologies on animal wellbeing. 2. Advocating for Women in Science: [1] Committed to supporting and empowering women, especially those venturing into scientific fields. [2] Passionate about promoting educational opportunities in technology for the next generation. 3. Educational Background and Insights: [1] Transitioned from a Bachelor’s in Animal Science focused on traditional agricultural practices and animal productivity to a Ph.D. program emphasizing diverse perspectives on animal welfare. [2] Open to sharing insights from both conventional and welfare-focused scientific viewpoints.

1. Enhancing Skills: Seeking to deepen my computer science knowledge to apply AI and machine learning more effectively in improving animal wellbeing. 2. Exchange Opportunities/internship: Actively looking for exchange programs or internship within: [1] Computer science labs interested in the use of AI for improving animal welfare. [2] Tech companies enthusiastic about AI alignment and incorporate values of animal welfare. 3. Community Building: Interested in establishing a supportive network that fosters AI talent directed toward animal welfare initiatives. [1] Open to suggestions on effective community formation strategies. [2] Welcoming collaborations with individuals passionate about this cause.