Dillon Laird

I currently work at LandingAI as a Machine Learning Engineer
focusing on visual reasoning and agentic frameworks.

2017 –

LandingAI

2016 – 2019

Stanford

2015 – 2016

PitchBook

2014 – 2015

Society Consulting

2010 – 2014

University of Washington

Publications

MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

arXiv 2017

P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, D Laird, R. L. Ball, C Langlotz, K Shpanskaya, M. P. Lungren, A. Y. Ng

Stochastic Variational Inference for Hidden Markov Models

NeurIPS 2014

N. J. Foti, J Xu, D Laird, E. B. Fox

Data-Centric AI Competition

August 2021

A. Y. Ng, D Laird, L He

Deep Q-Learning with Recurrent Neural Networks

December 2016

C Chen, V Ying, D Laird

Using satellite imagery to predict health

June 2017

J Irvin, D Laird, P Rajpurkar

Autoregressive Attention for Parallel Sequence Modeling

March 2017

D Laird, J Irvin