Kathryn Evans

Kathryn Evans has a diverse work experience spanning various industries. In their current role as the Director of Engineering - Digital Measurement, Reporting, and Verification at Pachama, they lead AI and Data teams in establishing protocols for carbon crediting in nature-based projects. Kathryn manages teams in providing machine learning solutions for forest conservation and restoration projects, as well as data platform teams.

Prior to Pachama, Kathryn worked at LinkedIn as an Engineering Manager - AI, where they led the Graph Affinities and Pages AI team. Their focus was on improving relevance and personalization for members and companies by developing affinity models from LinkedIn's social and economic graph. Kathryn also worked on enhancing company engagement on the platform.

Before LinkedIn, Kathryn held various roles at Primer.ai. Kathryn served as the Director of Engineering, where they managed a cross-functional team involved in developing a knowledge graph of people, places, and organizations. Kathryn also worked as a Software Engineering Manager - Machine Learning, where they built models for entity resolution and linking and managed entities microservices. Additionally, they held a role as a Senior Engineer - Machine Learning.

Kathryn's previous experience includes working at Factual Inc as a Senior Data Scientist and Tech Lead, where they planned and executed machine learning projects for the Places product. Kathryn also led a team of data scientists, data engineers, and software engineers. Prior to that, they worked as a Data Scientist at Factual Inc, where they assessed the quality of large datasets and proposed solutions for improving data quality and consistency.

Earlier in their career, Kathryn was a Graduate Research Assistant at MIT Biomimetic Robotics Lab, where they focused on designing energetically optimal gaits for the MIT Cheetah. Kathryn also worked as an intern at ExxonMobil, where they gained experience in the Umbilicals, Risers, and Flowlines field. Furthermore, they worked as a Research Assistant at the Stochastic Analysis and Nonlinear Dynamics (SAND) Lab, where they explored ocean wave dynamic instabilities and simulated rogue wave occurrences.

Kathryn's work experience also includes a role at PARC in the Hardware Systems Laboratory and an internship at GE Transportation as a Services Execution Intern, where they analyzed data and developed visualizations to track project progress.

Overall, Kathryn Evans has a strong background in engineering, AI, machine learning, and data analysis, with a focus on developing innovative solutions and leading teams.

Kathryn Evans completed their education in the field of Mechanical Engineering. Kathryn obtained a Bachelor of Science (B.S.) degree from the Massachusetts Institute of Technology (MIT) between 2010 and 2014. Additionally, they were granted a Study Abroad opportunity at the University of Oxford in 2012-2013. Subsequently, Kathryn pursued a Master of Science (M.S.) degree in Mechanical Engineering from MIT, which they completed between 2014 and 2015.