Summary
Mindy Ng is a Machine Learning Engineer and Research Scientist with 11 years of experience bridging genetics and life sciences research with applied ML and data engineering to drive actionable insights. Based in San Francisco, she has led health workforce supply/demand modeling for equitable healthcare access, built production data pipelines and dashboards, and contributed to AI-driven product decisions across startups and public sector. Her background in wet-lab research and biostatistical modeling gives her a rare ability to translate biological complexity into robust predictive models and rigorous evaluation frameworks. Currently she explores AI alignment, LLM evaluations, and mechanistic interpretability while applying ML to workforce equity—combining frontier research with pragmatic impact. Consistently pragmatic and interdisciplinary, she pairs SQL/Python proficiency and modern data tooling (Snowflake, dbt, BigQuery) with a storyteller’s lens for turning messy data into clear recommendations.
10 years of coding experience
7 years of employment as a software developer
Machine Learning, Machine Learning at Coursera
Python Evening Course, Python Evening Course at Galvanize Inc
Data Science Career Track Data Science, Data Science Career Track Data Science at Springboard
AI Alignment, AI Alignment at AI Safety Fundamentals
B.S. Genetics, B.S. Genetics at University of California, Davis
Science Technology and Society, Science Technology and Society at Stanford University
English