research

Clinical machine learning

Multimodality in medical AI: evaluating and simulating multiclinician workflow for brain lesions

oral, AI4M3D @ ECCV 2026, oral, RCMLR @ NeurIPS 2026, HAIC @ NeurIPS 2026
“Structural-Functional Integration for Enhanced Detection of Subtle Epileptogenic Lesions: A Region-Localized, Clinically-Informed Multimodal EEG-MRI Framework” — oral, AI4M3D @ ECCV 2026
“Right Number, Wrong Conclusion: Seven Failures in Clinical ML Evaluation” — oral, RCMLR @ NeurIPS 2026
“Wait, Predict, or Defer? Evaluating an Offline Sequential Routing Policy for EEG Localization” — HAIC @ NeurIPS 2026
2026
Action identifiability

Action identifiability in protein-design agents, and evaluating biological agents

2026
PRISM

PRISM: Towards RL environments for de novo protein design

2026
Recurrent learning in robot world models

Recurrent learning in robot world models

RoBoWoMo @ IEEE IROS 2026, Robotics World Modeling @ NeurIPS 2026
2026
Information over time in continual learners
2026

preprints

Transferable transcriptional topic modeling traces medulloblastoma subtypes to distinct cerebellar developmental states

bioRxiv preprint, Pattwell lab, Seattle Children's Research Institute
Rajendran, Haldipur, Arora, Grama, Subramanian, Galan, Johnson, Aldinger, Shendure, Millen, Gennari, Pattwell.
2025
Parvaiyattam Project Management

Parvaiyattam Project Management

1st place, International DECA Conference 2024
Finance Operations Research: Hyperpersonalization

Finance Operations Research: Hyperpersonalization

1st place, Washington State DECA