Jessa Lee

Jessa Lee has a diverse work experience spanning over a decade. Jessa started their career as a Research Assistant at the Manoharan Lab in the Stanford Physics Department in 2006. Jessa then worked as a Research Assistant at the Ng Group in the Stanford AI Lab in 2007.

In 2008, Jessa joined Pacific Biosciences as a Product Marketing Intern, where they conducted market research and competitive analyses. Jessa also measured the performance of novel SMRT Cell design using fluorescence correlation spectroscopy.

From 2009 to 2012, Jessa worked as a Scientist at Pacific Biosciences, where they designed and implemented data analysis tools to drive the development of the PacBio RS DNA sequencing platform. Jessa collaborated closely with various teams to interpret raw sequencing data and facilitate understanding of single-molecule phenomena.

In 2012, Jessa joined Ayasdi as the Director of Engineering. Jessa led a team of engineers in developing core compute, storage, and ETL capabilities. Jessa also played a key role in developing the analytics engine that formed the foundation of Ayasdi's Topological Data Analysis platform.

In 2015, Jessa joined Nuna Inc. and served as an Engineer. Their notable accomplishment was architecting and leading the implementation of a distributed, configurable Business Rules Engine for assessing the quality of terabyte-scale Medicaid data. This pipeline was utilized by all US states to identify issues in data submissions to the federally coordinated T-MSIS Medicaid data repository.

Currently, Jessa is a part of Apogee Research, LLC, where they have held various roles. Jessa worked as a Principal Research Engineer from 2016 to 2020, a Senior Principal Research Engineer from 2020 to 2021, and a Chief Research Engineer from 2021 to 2022. As the CTO since 2022, they are responsible for overseeing the company's technological endeavors.

Jessa Lee's education history includes studying Physics at Stanford University, where they obtained a Bachelor of Science (BS) degree. Jessa then continued their education at Stanford University, pursuing a Master of Science (MS) degree in Electrical Engineering. Unfortunately, no information regarding specific start and end years for these educational pursuits was provided.