Summary
Haotian Zhang is a data scientist and PhD candidate in computer science with eight years of experience applying algorithm design, statistical inference, and machine learning to sequence, graph, and language modeling problems. With a BS in Bioinformatics and research roots in population genetics, he blends domain knowledge in biological data with deep learning and graph-model expertise to tackle real-world problems across industry and academia. He has transitioned research into production-facing roles—most recently at Biogen and now Eversource Energy—bringing full-stack capabilities from preprocessing to model interpretation and visualization. Known for rigorous algorithmic thinking, he often frames ML problems through principled statistical lenses, enabling robust inference on complex structured data.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Bioinformatics, Bachelor of Science - BS, Bioinformatics at Harbin Medical University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Connecticut