- X
XLab
AI Risk Fellow
- Researching dual-use AI disclosure risks and building automated LLM evaluation frameworks for policy analysis.
- Q
Quasi AI
Software Engineering Intern
- Building physics-informed neural networks in PyTorch for fluid dynamics and quantum simulations.
- C
Chicago Human+AI Lab
Undergraduate Researcher
- Researching AI hypothesis generation methods and LLM interpretability.
- C
Calverton Growth
Private Equity Intern
- Deal sourcing and financial due diligence on manufacturing acquisitions.
- M
MIT Lincoln Laboratory
Machine Learning Intern
- Worked on detecting AI-generated text watermarks.
- N
Northwestern University
Research Intern
- Built large-scale web scraping tools and applied ML clustering to analyze education data across Chicago Public Schools.
featured projects
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AI Watermark Detection
Detecting AI-generated text watermarks at MIT Lincoln Laboratory.
ML
NLP
Python
HypoGeniC vs HypotheSAEs
Head-to-head comparison of AI hypothesis generation methods across multiple datasets.
NLP
Python
Statistical Analysis