Summary
Zelos Zhu is a Data Solutions Engineer with seven years of experience applying biostatistics and data visualization to pharmaceuticals and healthcare, currently building data products at Atorus. Trained at Columbia (MS Biostatistics) and UCLA (BS Statistics), he brings strong hands-on skills in R, SAS, SQL, and Python to bridge analytic research and production pipelines. His background ranges from clinical data science and statistical programming at Boehringer Ingelheim to neuroimaging and breast cancer analytics, giving him a rare mix of clinical-domain knowledge and machine-learning experience. He has developed reproducible research tools—such as an R package for parallel permutation testing—and creates interpretable models for high-dimensional biomedical data. Colleagues rely on him to translate complex study designs into transparent, production-ready analyses that inform clinical decisions.
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Biostatistics, Master of Science - MS, Biostatistics at Columbia University Mailman School of Public Health
Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at University of California, Los Angeles
English, Chinese