I'm a PhD student in Computational Cognitive Science at Johns Hopkins University, with a background in computer science. My research explores the intersection of deep learning, cognitive science, and neuroscience. Currently, I'm collaborating with Professor Mick Bonner.
My experiences include:
- 🧠 Neuroscience and cognitive processes
- 🤖 Transformers and Large Language Models (LLMs)
- 📊 Deep learning and artificial intelligence
Before starting my PhD, I worked as a software developer at Amazon.
👉 Learn more about my background and work
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MedAI Lab, Harvard Medical School
Worked with Pranav Rajpurkar on building knowledge graphs for radiology report generation. -
Computation & Theory, HHMI Janelia Research Campus
Research under James Fitzgerald and Jan Funke on using deep neural networks to model synaptic learning in the fly. -
AutoML Lab, University of Freiburg
Researched under Frank Hutter on neural architecture search. -
Gatsby Computational Neuroscience Unit, UCL
Research under Peter Latham and Timothy Lillicrap (DeepMind) on biologically plausible learning algorithms for deep networks. -
Sentic Lab, NTU Singapore
Research under Erik Cambria on LLMs for personality trait prediction.
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Model-Based Inference of Synaptic Plasticity Rules
NeurIPS 2024 -
Stability and Scalability of Node Perturbation Learning
NeurIPS 2022 -
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
ICLR 2022 -
Towards Biologically Plausible Convolutional Networks
NeurIPS 2021
