Add IRIS-HEP Fellow Profile for Cody Tanner

_fellows/2025/knottedtree123.md

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+---
+layout: fellow
+pagetype: fellow
+shortname: knottedtree123
+permalink: /fellows/knottedtree123.html
+fellow-name: Cody Tanner
+title: Cody Tanner - IRIS-HEP Fellow
+active: True
+dates:
+  start: 2025-07-01
+  end: 2025-09-26
+photo: /assets/images/team/fellows-2025/Cody-Tanner.jpg
+institution: University of Washington
+e-mail: cjt05@uw.edu
+focus-area: ia
+challenge-area:
+project_title: Differentiable Modeling of Systematic Uncertainties in ATLAS Object Corrections
+project_goal: >
+  Modern ATLAS analyses depend on object corrections that are currently implemented through non-differentiable procedures like histogram lookups and conditional logic, limiting their integration into gradient-based pipelines. This project proposes a neural network model that replicates ATLAS object corrections, including systematic uncertainties, for small-R jets in a differentiable and computationally efficient form. Starting from an existing baseline trained on the JZ2 dataset, the model will be refined through architectural tuning, loss reweighting, and incorporation of per-object uncertainties to approach sub-percent residuals in jet kinematics. A final case study will use the model to reconstruct Z→jj peaks, evaluating the physics impact of improved corrections and uncertainty modeling. This work provides a foundation for embedding fast, uncertainty-aware corrections directly into end-to-end ATLAS workflows.
+mentors:
+  - Gordon Watts (University of Washington)
+proposal: /assets/pdf/fellows-2025/USA035-proposal-Cody-Tanner.pdf
+presentations:
+  - title: ""
+    date: ""
+    url: ""
+    meeting: ""
+    meetingurl: ""
+    recordingurl: ""
+    focus-area: ia
+current_status: >
+  A placeholder for status updates
+github-username: knottedtree123
+linkedin-profile: https://www.linkedin.com/in/cody-tanner-12940421b
+---