Austin Senna Wijaya
Computer Science @ Columbia University
New York, NY
I’m an undergraduate at Columbia University studying computer science. Most of my work is on agentic systems and retrieval, right now through agent-based retrieval and question-answering research at the Columbia Data, Agents, and Processes Lab (DAPLab). I’m also interested in machine learning, data infrastructure, and software observability.
experience
- Software Engineer Intern, Garner Health
- current AI Research Assistant, DAPLab
- Machine Learning Research Assistant, Columbia Zuckerman Institute
news
| Aug, 2026 | MINA: Linear Probes Reveal Coding-Sequence Family Signal in Frozen DNA Encoders was accepted at PMLR MLCB 2026! |
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| Jul, 2026 | SANA: What Matters for QA Agents over Massive Data Lakes? was accepted at VLDB DASHSys 2026! |
| Jun, 2026 | I joined Garner Health as a Software Engineer Intern! |
| May, 2026 | LakeQA: A Benchmark for Complex Exploratory QA over a Million-Scale Data Lake was accepted at ICML 2026! |
| Apr, 2026 | ResearcherX was a finalist at the Columbia Millard Chan Technology Startup Competition and took 2nd place at the Columbia Lion Cage Startup Competition! |
| Dec, 2025 | I joined the Columbia Data, Agents, and Processes Lab (DAPLab) as an AI Research Assistant! |
selected publications
selected projects
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ResearcherX: local-first AI research IDE that answers questions against a bounded source library with graph-based RAG, flagging unsupported claims, contradictions, and citation drift in drafts. Finalist, Millard Chan Technology ‘99 Startup Competition; 2nd place, Columbia Lion Cage Startup Competition. -
LakeAgent: deep-research system for answering analytical questions over structured and unstructured data lakes with provenance-backed outputs.