The following list of scientists, software engineers and instrument technicans are serving as mentors for the 2026 ARM Big Open Data Summer School:
| Instructor | Affiliation | Project Lead | Links |
|---|---|---|---|
| Joe O’Brien | Argonne National Laboratory | TBD | Professional Website Github Link |
Dr. Joseph (Joe) O’Brien is an Atmospheric Scientist Software Specialist working for the Geospatial Computing, Innovations, and Sensing department within the Environmental Science Division at Argonne National Laboratory. Joe’s career has been marked by extensive field research across the world studying in-situ observations of cloud and precipitation processes, from atmospheric rivers in Seattle to aerosol-cloud interactions within Southern Atlantic marine stratocumulus. Along with the specific research questions associated with each project, Joe’s research has focused on the observational limitations and uncertainty associated with in-situ cloud microphysical instrumentation on-board instrumented research aircraft. Joe’s current research is focused on development of the Python ARM Radar Toolkit (Py-ART) and associated radar products in the support of the Department of Energy’s Atmospheric Radiation Measurement (ARM) field experiments, development of the Chicago micro-net in support for the Department of Energy’s CROCUS Urban Integrated Field Laboratory, and support for the Atmospheric Radiation Measurement (ARM) user facility MicroPulsed Lidar (MPL) as associate-mentor.
| Instructor | Affiliation | Project Lead | Links |
|---|---|---|---|
| Scott Collis | Argonne National Laboratory | TBD | Professional Website Github |
Dr. Scott Collis is an atmospheric scientist and head of the Geospatial Computing, Innovations, and Sensing (GCIS) department in the Environmental Science Division at Argonne National Laboratory and a Senior Fellow at the Northwestern Argonne Institute of Science and Engineering (NAISE). Scott’s research is at the intersection of data informatics, atmospheric science, and radar meteorology. He uses and develops open-source tools to extract geophysical insight from remotely sensed data at scale, which enables a deeper understanding of atmospheric phenomena essential for the development of next-generation climate models. Scott is the inventor of the Python-ARM Radar Toolkit (Py-ART), which is an open-source community-based architecture for interacting with weather radar data. Scott acts as a Translator for a set of the Atmospheric Radiation Measurement User Facility’s Radar systems and leads the Measurement Strategy Team for the Community Research On Climate and Urban Science (CROCUS) a Department of Energy Urban Integrated Field Laboratory.
| Instructor | Affiliation | Project Lead | Links |
|---|---|---|---|
| Robert Jackson | Argonne National Laboratory | TBD | Professional Website Github |
Dr. Robert (Bobby) Jackson’s research involves using active remote sensing to create a better picture of Earth’s climate. Bobby specializes in using precipitation radars and Doppler lidars to explore the kinematics and precipitation occurring in our atmosphere. As a part of the ARM Translator group at Argonne, Bobby develops quality-controlled rainfall products from ARM Precipitation radars that are used to evaluate model simulations and explore rainfall and snowfall patterns over various regions of the Earth including Darwin, Australia, the Upper Colorado River Basin, and Bankhead National Forest. Bobby is the lead developer of a Multi-Doppler radar package PyDDA. PyDDA retrieved winds from radar networks are currently being used for Integrated Energy Systems Office’s Observationally-based Resource Assessment and Coupled Models (ORACLE) to assess how well current weather forecasting models predict extreme winds in Nor’easters.
| Instructor | Affiliation | Project Lead | Links |
|---|---|---|---|
| Bhupendra Raut | Argonne National Laboratory | TBD | Professional Website Github |
Dr. Bhupendra Raut’s research focuses on improving atmospheric observations and data analysis by leveraging statistics, computer vision, artificial intelligence, and edge computing. Bhupendra is involved in the U.S. Department of Energy’s (DOE) Atmospheric Radiation Measurement (ARM) program and the Chicago Urban Flux Network, contributing to observational campaigns and value-added products, advanced radar algorithms, and adaptive sensing frameworks to quantify the spatiotemporal evolution of clouds and precipitation using multi-platform remote sensing. Bhupendra also contributes to open-source atmospheric tools including Py-ART, TINT, tobac, and ADAPT.