Simon Niu
AI Research Engineer at Synthesize Bio
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolSimon Niu is an AI Research Engineer based in Cambridge, MA with a decade of experience building end-to-end AI systems for genomics-driven drug discovery. He blends expertise in generative models, large-scale model evaluation, and LLM-based agentic workflows to translate foundation models into tangible scientific and product outcomes. Simon has moved between academia and industry—from the Eric Lander Lab at the Broad and the Joseph Ecker lab at Salk to senior data-science roles at Novartis—giving him a rare fluency in both wet-lab biology and production ML. Currently at Synthesize Bio, he focuses on deploying models that directly inform target selection and molecular design. Trained in biomedical data science at Stanford with a CS master’s from UC San Diego and a biochemistry background from NTU, he pairs rigorous domain knowledge with practical engineering. Colleagues note his knack for turning complex biological questions into reproducible ML workflows that scale beyond prototypes.
9 years of coding experience
4 years of employment as a software developer
University of California, San DiegoBachelor's degree Biochemistry, Bachelor's degree Biochemistry at National Taiwan University
English, Chinese, Mandarin, German
Github Skills (102)
cran10
transcriptomics10
genomics10
single-cell-analysis10
single-cell-genomics10
bioinformatics10
javascript9
vagrant9
rna-seq9
seurat9
seq9
viewer9
open-source9
scanpy9
latex8
Programming languages (11)
Github contributions (5)
shengyongniu/rSeqTU
Oct 2018 - Apr 2019
A machine learning based R package for identification of bacterial transcriptional units
Contributions:91 commits, 1 PR, 74 pushes in 7 months
r-packagemachine-learningunitsbacterialidentification
s18692001/ARGMap
Aug 2016 - Feb 2017
Contributions:57 pushes, 1 branch in 5 months
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