I’ve always loved learning new things and figuring out how to solve problems. My background is in chemistry, and after years of working in experimental chemistry, I shifted my focus to a more fundamental level, exploring quantum chemistry and quantum information science at Virginia Tech. While I enjoyed delving into how things work on a deep level, I eventually realized that I wanted to apply my knowledge to solve real-world problems that directly impact people’s lives.
My experience in quantum science didn’t just teach me about mathematics and physics—it also taught me how to think critically about problems and test solutions thoroughly. I’m particularly interested in areas like machine learning and data analytics, and I’m eager to dive deeper into these fields. I also really enjoy working with others. In my research, I often collaborated with people from different fields, and I found that combining our diverse perspectives led to better solutions. I’m excited to continue that kind of teamwork in data science, and I can’t wait to contribute to projects that have a positive impact.
