Heather Lane is a Senior Architect and machine learning leader with a PhD from Purdue and over two decades of experience bridging academic research and production AI at scale. Her career spans foundational research in anomaly detection, time-series and decision-theoretic planning at Purdue and MIT, a tenured faculty role driving ML for bioinformatics and neuroscience, and technical leadership at Google and athenahealth where she built and scaled data science teams and shipped production ML, NLP, CV, and GenAI systems. She led efforts that delivered $25M+/yr in savings, automated processing of 230M+ documents annually, and authored company-wide AI governance enabling federal certification—evidence of rare expertise in both model development and responsible AI policy. Comfortable leading from prototype to regulated production, she also has deep experience in biotech startups, organizing early-stage ML teams and translating compound–protein models into lab-tested candidates. Based in Somerville, MA, Heather combines research rigor with pragmatic engineering and a track record of turning complex scientific problems into operational impact.
10 years of coding experience
20 years of employment as a software developer
Doctor of Philosophy, Electrical and Computer Engineering, Doctor of Philosophy, Electrical and Computer Engineering at Purdue University
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