Saro Meguerdijian
About Saro Meguerdijian
Saro Meguerdijian is a Data Scientist at Beyond Limits and a Researcher at Los Alamos National Laboratory, specializing in machine learning applications for geologic carbon storage.
Current Roles at Beyond Limits and Los Alamos National Laboratory
Saro Meguerdijian works as a Data Scientist at Beyond Limits. In addition to his role at Beyond Limits, he is a Researcher in Machine Learning Applied to Geologic Carbon Storage at the Los Alamos National Laboratory in Los Alamos, New Mexico, United States. His responsibilities involve leveraging data science techniques and machine learning to contribute to innovative projects focused on geologic carbon storage.
Previous Roles in Academia and Industry
Saro Meguerdijian has an extensive background in both academia and industry. He served as a Graduate Teaching Assistant at the University of Southern California for courses related to Numerical Simulation of Subsurface Flows and Formation Evaluation. Additionally, he worked at Lawrence Livermore National Laboratory as a Thermoporomechanics Simulation Researcher and previously as a Research Fellow in Fractured Media at Los Alamos National Laboratory. He has also completed internships at Chevron, involving Temperature Data Mining, Process Engineering, and Operations.
Educational Background in Petroleum and Chemical Engineering
Saro Meguerdijian holds a PhD in Petroleum Engineering from the University of Southern California, obtained after six years of study from 2016 to 2022. Prior to his doctoral studies, he earned a Master's degree in Petroleum Engineering from the same institution in 2016. He also completed a Bachelor of Science in Chemical Engineering with a Petroleum Engineering emphasis at USC, graduating in 2015. He received his high school education from Clark Magnet High School.
Specialization in Carbon Capture and Accessibility Improvements
Saro Meguerdijian specializes in applying data science and machine learning techniques to carbon capture, utilization, and storage (CCUS) projects. He focuses on using his petroleum engineering expertise to reduce greenhouse gas emissions. Additionally, he has authored a document on improving data visualization accessibility for colorblind individuals, which has been implemented in his organization. His work enhances data impact and inclusion through better accessibility.