Systems biology postgraduate personal statement example

Personal statement example

My final-year Biochemistry project taught me more about modelling than about enzymes. I had chosen a project on the branch point where isocitrate is shared between the TCA cycle and the glyoxylate shunt, expecting to spend my time reading about allosteric regulation. Instead I spent it in Python, fitting a four-equation ordinary differential equation model to kinetic parameters drawn from the literature and discovering how differently the model behaved depending on which paper I took a Km value from. My supervisor encouraged me to run the model across plausible ranges rather than settle on single figures, and the resulting sensitivity analysis became the most useful part of my report. The conclusion I reached was modest: flux partitioning in my model was governed far more by one enzyme's parameters than by the others, and that dependence was the finding worth reporting. That experience of watching a biological question become a question about parameters, uncertainty and structure is why I want to study systems biology formally.

My degree gave me a solid wet-lab grounding, including enzyme assays, Western blots and cell culture, and I value knowing what a measurement actually costs in time and material. Alongside this I took the optional statistics and bioinformatics modules and worked through an online course in scientific computing, which pushed me from writing scripts that happened to run to writing functions with tests and comments. I now use Git out of habit rather than instruction. I have read widely around the field, and Uri Alon's An Introduction to Systems Biology was the book that reframed things for me, particularly the treatment of recurring network motifs and the idea that a feed-forward loop can be understood in terms of what it does dynamically rather than only what its parts are. I am aware that my mathematics needs strengthening: my linear algebra is functional but my grasp of stochastic modelling is superficial, and I am keen to address both in taught modules before attempting a research project.

A two-week supervised shadowing placement with a computational biology group showed me how this work is actually organised. I was an observer and helper rather than a contributor: I sat in on group meetings, watched a postdoctoral researcher debug a pipeline for RNA-seq differential expression analysis, and was given the genuinely instructive job of reorganising and documenting a folder of metadata so that sample identifiers matched across three spreadsheets. It was unglamorous and it taught me how much of the field's reproducibility rests on that kind of care. I also noticed how often discussion returned to whether a model was answering a question anyone had asked, which has stayed with me.

Since graduating I have worked part-time as an assistant to a college laboratory technician, preparing solutions, checking equipment and setting up practicals for large classes. The work demands accuracy under time pressure and clear labelling for people who will not be there to ask me questions. I also tutor GCSE mathematics, which has improved my own explanations considerably; teaching simultaneous equations to a reluctant fifteen-year-old exposes any vagueness in your understanding. Outside work I sing in a community choir, where learning to hold one line while hearing the others is a pleasure I would not want to lose.

I would like to work eventually on metabolic models with direct application, in biotechnology or in understanding disease metabolism. In the shorter term I want structured training in dynamical modelling, statistical inference and handling high-dimensional data, and a research project where I am responsible for the analysis rather than watching someone else do it.

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