Tyler Smith is a data scientist transitioning to cybersecurity with a STEM PhD, Security+ certification, and over 7 years of experience building and operationalizing machine learning models and data pipelines.

Currently, as a postdoctoral research fellow at the Icahn School of Medicine at Mount Sinai, Tyler specializes in building supervised and unsupervised learning models for complex health datasets using Python and SQL. His previous research included anomaly detection in high-dimensional datasets using R and SQL. Tyler’s cybersecurity experience includes developing AI/LLM-powered security automation tools (GitHub) and deploying and securing data-driven web applications on AWS (GitHub).

Tyler combines strong analytical capabilities with proven experience communicating technical insights to diverse audiences, making him well-positioned for cybersecurity roles requiring both technical depth and strategic communication. Before the PhD, he worked in environmental risk assessment. Tyler was born and raised in Seattle.