Hi, I’m Haziq - I’m a gap-year student with a strong interest in the intersection of biology and computation. Lately, I’ve been focused on single-cell transcriptomics, working on ways to apply machine learning and data visualization to better understand cellular behavior. Over the past year, I’ve spent significant time engaging with research papers and staying up to date with the latest literature in the field, while also working on projects that bring together biology, programming, and quantitative analysis. This area excites me because it sits at the cutting edge of biology, mathematics, and technology, where innovative computational approaches can uncover patterns and insights that were previously inaccessible.

My journey into this space has been a natural progression from years of curiosity-driven learning. I wrote my first Python program at 8, built an IoT irrigation system at 11, and started coding machine learning models at 15 after completing a series of courses on AI. Since then, I’ve worked with frameworks like PyTorch and Keras, coded models from cutting-edge papers, and applied these skills in startup internships focused on data analysis and application development. Alongside programming, I’ve always enjoyed the challenge of math, from studying calculus at 13 to earning top grades in my A Levels (A*AA - Maths, Further Maths, Chemistry).

I currently hold an offer to study BSc Natural Sciences (Biochemistry specialisation) at King’s College London starting this September (QS 2025: 40th best in the world, 12th for Life Sciences). Looking ahead, my goal is to pursue a PhD and build a career as a researcher at the forefront of computational biology. I’m fascinated by how computational tools can reshape scientific discovery, particularly in biology. Whether it’s analyzing complex datasets, identifying novel cell populations, or creating intuitive visualization frameworks, I’m passionate about making biological data more accessible and actionable. Beyond academia, I’m excited by the potential to translate research into impactful ventures that bridge biology, mathematics, and technology.

In the meantime, I’m eager to gain hands-on experience through internships, research collaborations, or part-time roles where I can apply my skills and continue learning from experts in the field. If you’re working on innovative projects at the intersection of biology and computation—or believe my background could add value to your team—I would be grateful for the opportunity to connect. I’m excited to contribute, learn, and grow through meaningful work that pushes the boundaries of what’s possible.