These are some of the papers I wrote during my time at Stanford as a machine learning student. While I have since pivoted to product management and strategy, most of my co-authors remain in engineering and are some of the most talented people I know.
Understanding Vision Transformers in Sparse Data Settings (2023) (pdf)
DownloadInvestigating Novel Prompting Strategies for LLMs (2022) (pdf)
DownloadUsing a Time-Series Transformer for Stock Market Predictions (2022) (pdf)
DownloadUsing a NLP Transformer for Question-Answering (2021) (pdf)
DownloadPredicting West Nile Virus through Various ML Models (2020) (pdf)
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