I believe that the future of biology and medicine relies on advances in computational approaches. Data collection will become more automated and routine, paving the way for advanced analytics to add value by enabling better predictions of alternative design choices, but also suggesting which data should be collected to maximise return on investment.I have a keen interest in blending dynamical systems theory with machine learning. My recent work has included basic research into the adaptive immune system, exploring the potential for novel forms of computation using DNA instead of silicon, engineering emergent pattern formation in cellular systems using synthetic biology, and understanding trade-offs in biopharmaceutical manufacturing of lentiviral vectors. Experience:I have 12 years experience working in industry-based research (Microsoft Research), have published over 40 peer-reviewed papers and developed several open-source software packages. For more details on this, please visit my website (ndalchau.github.io).