Sahil Bowles

• Analyzed 500+ breast cancer patient records using R-based statistical modeling and machine learning.

• Identified predictive variables influencing cancer classification, improving model accuracy by 10%.

• Presented research findings remotely at a formal symposium to an audience of students and researchers.

• Conducted mentored independent research on phylogenetic tree analysis to determine cancer evolution and mutation.

• Worked under the guidance of a PhD student mentor.

• Developed interdisciplinary research skills by utilizing applied mathematics, computer science, and biology.

• Designed solutions addressing real-world social challenges using engineering and computational thinking.
• Collaborated in a team of 8-10 students to prototype and present a final product.
• Gained hands-on experience with engineering design, problem solving, and ethical and business-related considerations in computer engineering.