Summary
Alexander Fiksdal is a Principal Data Scientist with over a decade of quantitative research and applied data science experience focused on clinical AI and healthcare operations. He designs and ships end-to-end production clinical ML systems—owning feature engineering, Snowflake-native data pipelines, LLM-driven unstructured feature extraction, and direct Epic Hyperspace integration via FHIR/HL7—while also shaping organizational MLOps strategy. Comfortable across research and product contexts, he has led cross-functional builds that surface near-real-time patient prioritization and operational insights directly into clinician workflows. His PhD in Biological Health Psychology underpins a strong foundation in rigorous experimental design and longitudinal modeling, which he pairs with hands-on engineering to reduce deployment friction in complex health systems. Notably, he built a 100% Snowflake-native HL7 parser and a metadata-driven orchestration layer that turned bespoke projects into reusable platforms, slashing future development cost and time.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (B.A.), Psychology, Bachelor of Arts (B.A.), Psychology at Carleton College
Doctor of Philosophy - PhD, Psychology, Doctor of Philosophy - PhD, Psychology at Brandeis University
Spanish