Two parts computer science, one part neuroscience.

## Current projects

Hands-on Bayesian Optimization

Creating an "Outer Loop Cookbook"

Bootstrapping a cognitive-inspired deep learning architecture

## Recent blog posts

Maybe Bayesian Optimization Should Be Harder, Not Easier

2022-11-30

Imagine A Deep Network That Performs Successive Cheap Queries On Its Input

2022-07-08

Bayesian Optimization Is More Basis-Dependent Than You Might Think

2022-06-26

Likely ≠ Typical: A Viewpoint On Why We Perturb Neural Networks

2022-01-28

Some "Causal Inference" intuition

2021-11-04

## Select talks / presentations

Intro to Grid Cells + Quickly Forming Structured Memories

2021-06-07

Testing a possible explanation for grid cell distortions

2021-05-17

Journal Club: Hinton's GLOM + Numenta's TBT (after a year without a haircut)

2021-03-24

Using grid cells as a prediction-enabling basis

2020-12-22

The Minimum Description Length Principle, sparsity, and quantization

2020-04-01

## Papers

*PLOS Computational Biology (2020)*

*Front. Neural Circuits (2019)*

*Front. Neural Circuits (2019)*