Dillon Laird

About

I am currently an Engineering Manager at [Landing.AI] and was previously a machine learning engineer there as well. I did my masters in computer science at Stanford where I worked in [Andrew Ng's lab] and I did my undergraduate at University of Washington where I worked with [Emily Fox] and majored in mathematics and computer science.

Publications

Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy: A Machine Learning Experiment to Estimate Treatment Effects from Randomized Trial Data
Tony Duan, Pranav Rajpurkar, Dillon Laird, Andrew Ng, Sanjay Basu
[paper]

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs
Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Ng
[arXiv] [project]

Stochastic Variational Inference for Hidden Markov Models
Nick Foti, Jason Xu, Dillon Laird, & Emily B. Fox
NIPS 2014
[arXiv] [code]

Projects

Stanford Machine Learning Group
Improving people's lives through artificial intelligence.
[project]

Using Satellite Imagery to Predict Health
Convolutional neural network model used on satellite images to predict poverty and investigation into predicting malnutrition.
[project]

Autoregressive Attention for Parallel Sequence Modeling
Autoregressive attention mechanism for parallelizable character-level squence modeling.
[project]

Deep Q-Learning with Recurrent Neural Networks
Investigation into applying recurrent neural networks to reinforcement learning to capture long-term information.
[project]