Julia Wang

Julia Huiming Wang

Machine Learning Research

About Me

Machine learning scientist with degrees in computer science (Stanford, BS) and computational neuroscience (Cold Spring Harbor Laboratory, PhD). Passionate about telling stories with data, modeling, and theory to understand how intricate systems work. Over 7 years of machine learning research experience which includes applying deep learning to real-world biological questions, such as drug interaction, sleep signals, multi-omic genomics and imaging data, and more.

Interests

Artificial Intelligence
Computational Neuroscience
Biotech
Education & Outreach

Education

PhD Computational Biology
Cold Spring Harbor Laboratory
BS Computer Science (Artificial Intelligence)
Stanford University

My Story

Featured Projects

Predictive variational autoencoder for learning robust representations of time-series data

Representation Learning

Predictive variational autoencoder for learning robust representations of time-series data

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Create your slides in Markdown - click the Slides button to check out the example. Add the publication’s full text or supplementary notes here. You can use rich formatting such as including code, math, and images.

Dec 12, 2023

A manifold of heterogeneous brain states across cortical areas

A manifold of heterogeneous brain states across cortical areas

This work is driven by the results in my previous paper on LLMs. Create your slides in Markdown - click the Slides button to check out the example. Add the publication’s full text or supplementary notes here. You can use rich formatting such as including code, math, and images.

Jan 1, 0001