Skip to content
View jacobjinkelly's full-sized avatar

Organizations

@google-deepmind

Block or report jacobjinkelly

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jacobjinkelly/README.md

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.

Pinned Loading

  1. google-deepmind/alphafold3 google-deepmind/alphafold3 Public

    AlphaFold 3 inference pipeline.

    Python 5.7k 673

  2. jax-ml/jax jax-ml/jax Public

    Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

    Python 30.9k 2.8k

  3. easy-neural-ode easy-neural-ode Public

    Code for the paper "Learning Differential Equations that are Easy to Solve"

    Python 272 31

  4. wgrathwohl/VERA wgrathwohl/VERA Public

    Python 62 10

  5. gibbs-jem gibbs-jem Public

    Code for the paper "Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data"

    Python 1 1

  6. slurm slurm Public

    Scripts for launching sweeps on a SLURM cluster.

    Python