Summary
Chenxin Tan is a Machine Learning Engineer in New York with 11 years of experience applying ML, biostatistics, and data engineering to regulated healthcare and digital therapeutics. At Click Therapeutics they architected multi-agent LLM platforms, productionized voice-enabled LLM audio agents, and built Snowflake-native ML workflows that materially improved personalization and deployment velocity. Chenxin combines rigorous clinical research experience—developing high-sensitivity Alzheimer’s diagnostic models on 80k+ patient records—with practical production skills in Databricks, MLflow, dbt, and CI/CD for regulated releases. They have a strong quantitative foundation (MA in Statistics from NYU) and a background in large cohort database curation and causal inference, enabling them to bridge research, product, and compliance in health AI. An unusual strength is turning regulatory and design artifacts into audit-ready LLM agents that automate specification, validation, and compliance reporting.
11 years of coding experience
5 years of employment as a software developer
Visting Student East Asian Studies, Visting Student East Asian Studies at National Chengchi University
Master of Arts - MA Statistics, Master of Arts - MA Statistics at New York University
Bachelor of Laws - LLB Sociology, Bachelor of Laws - LLB Sociology at Peking University
English, Chinese, Japanese