Justin Jude

Research Fellow at Massachusetts General Hospital/Harvard Medical School and Postdoctoral Researcher at BrainGate

BrainGate and MGH Center for Neurotechnology and NeuroRecovery

Providence, RI/ Boston, MA

I am currently a postdoctoral researcher at BrainGate(Brown University) and an appointed Research Fellow at Massachusetts General Hospital and Harvard Medical School. I am primarily concerned with decoding speech from neural data associated with chronically implanted multi-electrode arrays of human participants in the BrainGate2 clinical trial. I am also interested in improving the long term stability of real-time neural decoders of movement and speech.

Previously I was a PhD student in the Institute for Adaptive and Neural Computation at the University of Edinburgh where I worked with Matthias Hennig on latent variable modelling of neural data using sequential autoencoder networks.

I also looked at hippocampal representations in neural networks and how these form throughout training on maze tasks. We found that these formed representations in neural networks are strikingly similar to their neuronal counterparts. Additionally, I explored the potential and variety of biologically plausible neural networks, namely on training methods for Spiking Neural Networks and the applications and performance of such networks when compared with traditional neural networks.

Before starting a PhD I was a Machine Learning Engineer at PaperCup, working on Deep Generative Models such as WaveNet in the realm of Neural Speech Synthesis and Machine Translation.

I received my integrated Masters from University College London where I worked with Simone Severini and Edward Grant on Deep Generative Models such as Variational Autoencoders for Quantum Computing States. Here is a link to my masters thesis.

My undergraduate degree was also at University College London in Mathematics and Computer Science before focusing on Machine Learning, Deep Learning, Reinforcement Learning and Machine Vision during my integrated masters. Over the course of my undergraduate degree I squeezed in three internships at Santander, BAE Systems and Amazon.

Curriculum Vitae

selected publications

  1. ICML
    Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
    Jude, Justin, Perich, Matthew G, Miller, Lee E, and Hennig, Matthias H
    International Conference on Machine Learning 2022
  2. NeurIPS
    Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles
    Jude, Justin, Perich, Matthew G, Miller, Lee E, and Hennig, Matthias H
    Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural Representations 2022