About Me ✨

I am a Ph.D. student at Carnegie Mellon University working on outlier detection, foundation models, LLM evaluation, and information retrieval. I study how to build reliable learning systems and how to evaluate them carefully across real-world settings.

My work focuses on robust outlier detection, foundation models for structured data, evaluation of LLM behavior and consistency, and retrieval methods that improve information access in long-context and open-domain settings.

I am advised by Leman Akoglu and Pradeep Ravikumar .

  • Outlier detection
  • Foundation models
  • LLM evaluation
  • Information retrieval

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Experience 💼

  • Research Intern, UMAP, Snap Research (May 2025 - Present)
  • Quant Research Intern, Bloomberg (May 2024 - Aug 2024)
  • Research Intern, Capital One (Jun 2022 - Aug 2022)
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