Sagar Gautam, Ph.D.
About Sagar Gautam, Ph.D.
Sagar Gautam, Ph.D., is a Postdoctoral Researcher at Sandia National Laboratories with expertise in environmental modeling and machine learning applications.
Current Role at Sandia National Laboratories
Sagar Gautam, Ph.D., holds the position of Postdoctoral Researcher at Sandia National Laboratories since 2020. Located in Livermore, California, he focuses on advanced research in environmental modeling and climate impact assessment. His role involves employing complex computational techniques and leveraging high-performance computing (HPC) capabilities to analyze extensive datasets. At Sandia, he continues to advance his expertise in machine learning and data-driven environmental assessments.
Previous Experience at Argonne National Laboratory
Before joining Sandia National Laboratories, Sagar Gautam served as a Postdoctoral Researcher at Argonne National Laboratory from 2019 to 2020. During his tenure in Darien, IL, he was involved in research projects that emphasized environmental policy and life cycle analysis. His work included data mining and high-resolution data analysis, contributing to the enhancement of environmental impact models using cutting-edge machine learning techniques.
Research Position at Minnesota Pollution Control Agency
In 2018, Sagar Gautam held the role of Research Scientist at the Minnesota Pollution Control Agency for five months. In the Greater Minneapolis-St. Paul Area, he focused on environmental monitoring and assessment projects. His responsibilities included data analysis and modeling to support the agency's initiatives in pollution control and environmental preservation.
Academic Background and Doctoral Studies
Sagar Gautam earned his Doctor of Philosophy (Ph.D.) in Bioengineering from the University of Missouri-Columbia, where he studied from 2015 to 2018. His doctoral research contributed significantly to the fields of environmental modeling and climate impact assessment. Earlier, he completed his Master's Degree in Hydrology at South Dakota State University from 2013 to 2014, and his undergraduate studies in Agricultural Science at Banaras Hindu University from 2008 to 2012.
Technical Skills and Expertise
Sagar Gautam is proficient in various programming languages and tools, including R, Python, Matlab, Linux, Tableau, SQL, and has basic knowledge of Julia. He specializes in environmental modeling, utilizing machine learning techniques such as Random Forest and Artificial Neural Networks for regression problems. Additionally, he is familiar with numerous environmental impact assessment models, including SWAT, APEX, HSPF, DAYCENT, MODFLOW, GMS, and LCA. His expertise extends to environmental policy, life cycle analysis, and handling high-resolution big data.