Diana Pfeil

Diana Pfeil is a highly experienced professional with over 15 years of expertise in machine learning and optimization, specializing in building data products. She has a strong passion for the data community and actively engages in teaching and speaking on topics related to data science and optimization.

Diana holds a B.A. in Mathematics and Computer Science from the University of California, Berkeley, and a Ph.D. in Operations Research from the Massachusetts Institute of Technology.

Throughout her career, Diana has held significant roles in reputable organizations, including being the Head of R&D at Pex, a Staff Data Scientist at PayPal, a Data Scientist/Data Science Manager at Honey, an Adjunct Professor of Business Analytics at the University of Colorado Denver, the CTO at Lumo, a Senior Optimization Analyst at OptTek Systems, Inc., and a Software Development Engineer at Amazon.com.

Her diverse background and extensive experience make her a prominent figure in the field, well-known for her contributions to machine learning, optimization, and data science.