My Experience with In2research at UCL by Hamde Warsame

My time with the In2research program at UCL was transformative, reshaping not only my future career aspirations but also my confidence in my ability to grow, improve, and make a meaningful impact. Walking through UCL’s doors for the first time was daunting, but the experience quickly proved to be rewarding beyond measure. I began my journey in the Information Studies department, diving straight into a research open day. Here, I was immersed in the vast world of academic research, where professionals explored diverse topics in fascinating depth. It was inspiring to see firsthand how these researchers were addressing real-world problems, providing me with a glimpse into the dynamic role of academia in society.

The internship’s core focus involved creating an AI system using the ResNet50 neural network to analyze pediatric pneumonia X-rays and predict early-stage lung cancer, a project with profound implications for healthcare. The idea of aiding in the early detection of lung cancer was especially meaningful to me, as early diagnosis is one of the most powerful tools in improving patient outcomes. The project’s goal was to reduce the invasiveness of diagnostic processes and streamline patient care, enhancing the chances for successful treatment. These themes of improving patient care and easing the diagnostic journey which deeply resonated with me and underscored the broader purpose of our work.

This project stood out to me not only for its health implications but because it challenged my understanding of healthcare’s intersection with technology. With a background in Biomedical Science, I had previously assumed that the main aspects of patient care rested solely with medical professionals working directly with patients. However, I quickly came to realize that effective treatment requires an entire ecosystem of support, from the tools and technologies aiding diagnosis to the innovative systems transforming patient management. The saying “good tools make a skilled craftsman better” took on new meaning as I saw how technology could become a silent but vital partner in healthcare, empowering medical teams to provide higher quality care.

This internship also introduced me to Python coding, something I had little experience with before. At first, programming felt foreign, like learning a new language from scratch. But with guidance and practice, I began to appreciate the process of developing and refining code as a way to solve complex problems. I found that coding had a rhythm and logic that felt surprisingly intuitive over time, and there was something deeply satisfying about troubleshooting, finding solutions, and ultimately contributing to an AI model capable of analyzing medical images.

The challenges I faced in learning Python were real, yet they fueled my motivation to push beyond my comfort zone. I came to see programming as more than just writing lines of code; it was a tool that could be used to make tangible improvements in people’s lives, even those facing the gravest of diagnoses. The experience showed me that technology, particularly AI and machine learning will be increasingly essential in shaping healthcare, making it less invasive, more efficient, and ultimately more compassionate.

Reflecting on my time with In2research, I can say it was an invaluable journey. I am now more open to embracing new skills and less intimidated by the technical aspects of research. My career aspirations have broadened significantly, and I’m excited by the potential to work at the intersection of healthcare and technology, where innovation can truly change lives. This program not only gave me technical skills but also a renewed sense of purpose in pursuing a career where I can make a difference.

The In2research experience has been a powerful reminder of the profound impact that curiosity, collaboration, and a willingness to learn can have on our lives and careers. I am grateful for the opportunity to contribute to a project with the potential to improve patient care and eager to continue my journey in the world of research and technology.

 

 

Highlights throughout my journey at UCL:

• Explored UCL’s research environment through an inspiring open day.
• Worked with Dr Daniel Onah on an AI project using the ResNet50 model to analyze Pneumonia X-rays images for early detection of lung cancer disease.
• Learned Python programming from scratch to develop and refine the AI system under Dr. Onah’s guidance.
• Gained insights into how technology can revolutionize diagnostics and patient care.
• Connected my Biomedical Science background with AI, broadening my understanding of healthcare innovation.
• Found new confidence in tackling technical challenges and pursuing a career in healthcare technology

In2research is a one-year programme developed by In2scienceUK and UCL, designed to enhance access to postgraduate research degrees and career opportunities for people from low socioeconomic backgrounds and under-represented groups“.