Dr Daniel Han
Applied Mathematics and Neurobiology
Daniel is an applied mathematician and a budding biologist with an MPhys in Theoretical Physics and a PhD in Applied Mathematics and Cell Biology, both from the University of Manchester. During the PhD, he focused on quantifying the movement of intracellular vesicles inside mammalian cells through the theory of stochastic processes, live cell microscopy experiments and data analysis. He has a passion for conducting interdisciplinary scientific research and is curious about how mathematics, especially stochastic processes, can be applied to understand natural phenomena and improve clinical medicine.
Now, he is a postdoctoral researcher in the Neurobiology Division at the MRC Laboratory of Molecular Biology in Cambridge working on understanding how neuron morphologies affect signal propagation in biological neural networks. Using the synapse-scale wiring diagram of the larval Drosophila olfactory circuit mapped by the Cardona and Zlatic labs, he is exploring the intricacies of neural connections through computational modelling, mathematics and neurobiology experiments. Daniel also enjoys teaching in general and often engages in public outreach events.