Located in Virginia, USA
Hi! I’m a research engineer working at the intersection of deep learning and neuroscience with James Fitzgerald and Jan Funke at the HHMI Janelia Research Campus. Specifically, I’m working on meta-learning synaptic plasticity rules in a connectome-constrained artificial neural network.
I am very fortunate to have gotten the opportunity to work with brilliant researchers, who have really inspired me and shaped my attitude towards research. I have worked on Neural Architecture Search in Frank Hutter’s AutoML lab in the most lovely town of Freiburg! Before that, I had an amazing time at the Gatsby Computational Neuroscience Unit at UCL, where I was working on evaluating biologically plausible perturbation-based learning algorithms to train deep networks with Peter Latham (Gatsby, UCL) and Tim Lillicrap (DeepMind). My undergraduate thesis on deep learning-based personality prediction with Erik Cambria (NTU SIngapore) is what got me fired up about research in the first place, eventually leading to quit my job at Amazon and dive into research full time ;)
I thoroughly enjoy coding and working on hard algorithmic problems.
|Dec 1, 2022||Attended NeurIPS, my first in-person conference! ✨🍻|
|Nov 23, 2022||Submitted abstract on learning synaptic plasticity rules to Cosyne 2023 🤞🏼|
|Oct 1, 2022||Visiting Larry Abbott’s lab at the Zuckerman Institute, Columbia University|
|Sep 14, 2022||Manuscript on Node Perturbation learning accepted to NeurIPS!|
|May 27, 2022||Got Married!|
|Apr 25, 2022||Virtually presented our paper, NAS-Bench-Suite poster at ICLR|
|Jan 10, 2022||Started at Janelia Research Campus in the Funke Lab|
- Stability and Scalability of Node Perturbation LearningIn Advances in Neural Information Processing Systems (NeurIPS) 2022
- NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly EasyIn International Conference on Learning Representations (ICLR) 2022
- Towards Biologically Plausible Convolutional NetworksIn Advances in Neural Information Processing Systems (NeurIPS) 2021