Arin Gopakumar
I'm a Computer Science student at UC Berkeley, specializing in artificial intelligence and machine learning. I'm currently a Software Engineer Intern at the California Department of Industrial Relations, and I spent this past summer as a Software Engineer Intern at Solugenix, where I ran systematic benchmarks of open-source speech-to-text and text-to-speech models to determine which ones were reliable enough to ship in production-grade voice agents. My research focuses on long-range graph representation learning, state-space sequence models, and applying those methods to problems in environmental forecasting and clinical prediction.
Publications
- 2026WildfireSpreadBench: The Metric Decides the Model in Wildfire Spread PredictionArin Gopakumar, Marco PannozzoNeurIPS 2026 | Tackling Climate Change with ML Workshop
- 2026HOPPER: Learnable Hop Extraction for Linearized Graph Sequence ModelsIsuru Herath, Arin Gopakumar, Sharan SahuarXiv preprint, August 2026
- 2026Predicting Vasoplegia at Bypass Separation with Three VariablesArin Gopakumar, Makenzie Higgins, Brittney WilliamsPoster, July 2026
- 2025A CNN-Based Framework for Forecasting Valley Fever Risk via Dust Detection in Arizona: A Proof of ConceptArin GopakumarICML 2025 | NewInML Affinity Event