Computational biologist with a deep interest in language models and other generative models for understanding biological processes. I enjoy both training models on biological data and designing experiments to generate the required data.Previous experience:* Trained autoregressive DNA language models for generating enhancers and promoters with specific properties for synthetic biology applications* Trained vision models on live microscopy images for more accurate readouts of gene expression* Worked on algorithms for early-stage detection of cancer from liquid biopsies (cfDNA)• Used machine learning, with a focus on deep neural networks, to build predictive models of mRNA translation efficiency• Used predictive models and genetic algorithms to engineer mRNA sequences for tuned protein expression using deep neural networks• Designed, lead a collaborative team, and programmed ‘RoboOligo' -- algorithm and standalone program for automated sequencing of modified RNA oligomers from mass spectrometry data• Developed a massively-parallel reporter assay (MPRA) that measures translation efficiency of up to 1 million distinct mRNAs in a single experiment