I'm a Research Engineer at DeepMind. I completed my undergrad in Computer Science, Math, and Stats at the University of Toronto, where I was fortunate to work with Roger Grosse and David Duvenaud at the Vector Institute. My goal is to use machine learning to understand biology. I'm interested in energy-based models, latent variable models, neural ODEs, and genomics.
Research Engineer @deepmind. Prev. @VectorInstitute, @deepgenomics. Undergrad @UofT in CS, Math, and Stats.
- London, UK
- jacobjinkelly.github.io
- @jacobjinkelly
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easy-neural-ode
easy-neural-ode PublicCode for the paper "Learning Differential Equations that are Easy to Solve"
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jax-ml/jax
jax-ml/jax PublicComposable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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sequencing
sequencing PublicFast alignment of genomic sequences using Boyer-Moore with linear time construction of indexes using Z algorithm.
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