Thomas Lampo

Thomas Lampo is a Senior Data Scientist at Uber, currently working in the Dynamic Pricing team. His role involves building machine learning and marketplace optimization models for surge pricing, as well as developing models and metrics to assess the health of the rides marketplace. He has been with Uber since 2016, progressing through various positions, including Applied Scientist and Tech Lead Manager, before his current managerial role which he assumed in August 2022.1

Education and Background

Lampo holds a Bachelor's Degree in Chemical Engineering from the California Institute of Technology (Caltech) and a Ph.D. in Chemical Engineering from Stanford University. His doctoral research focused on theoretical biophysics, particularly in the areas of polymer physics and the motion of chromosomal DNA.12

Professional Experience

• Uber (2016 - Present):

  • Manager II, Applied Science (August 2022 - Present)
  • Senior Applied Scientist, Tech Lead Manager (January 2022 - August 2022)
  • Senior Applied Scientist (August 2019 - January 2022)
  • Applied Scientist (September 2016 - August 2019)

• Stanford University (2011 - 2016):

  • PhD Student and Research Assistant in theoretical biophysics, with a focus on Monte Carlo simulations and DNA dynamics.

Skills and Certifications

Lampo has developed expertise in machine learning, marketplace optimization, and data science methodologies. He has also completed certifications in Generative AI and Natural Language Processing, reflecting his commitment to ongoing professional development in the rapidly evolving tech landscape.12

Honors

He has received notable recognitions, including the BioX Stanford Interdisciplinary Graduate Fellowship and an honorable mention from the NSF Graduate Research Fellowship Program.1

Lampo is based in Oakland, California, and has a limited proficiency in French, alongside his native English.1