Michael Tang

Machine Learning, Data Engineering


With a Masters degree in Computational Science & Engineering at Georgia Tech, I am excited to leverage my machine learning knowledge and software engineering background to create performant data-driven solutions.

I am curently working as a Data Scientist at General Motors Financial. During my time as a graduate research assistant at the Aerospace Systems Design Laboratory, I built data pipelines and deployed simulation models in production for buildings across the Georgia Tech campus.

Before going to Georgia Tech, I obtained my undergraduate degree in Physics at the University of Hong Kong and gained work experience as a software engineer in the finance industry.

My interests include scalable model inference, decentralized (federated) learning, and graph neural networks.

Any road followed precisely to its end leads precisely nowhere. Climb the mountain just a little bit to test that it's a mountain. From the top of the mountain, you cannot see the mountain. — Frank Herbert