I am a research scientist in the Brain-Inspired Computing Lab, which is part of Intelligent Systems Research at Intel Labs.

I am currently working on vector similarity search, language models, and models of memory in machine learning. You can find links to my publications on the CV page.

My PhD is in cognitive computational neuroscience, particularly studying attention and memory.

• 06/2024: PsyArXiv, preprinted. Large-scale dataset for human memory released: free recall of mid-length text narratives.
• 04/2024: AI4Sys Workshop at HPDC, accepted. Paper on fine-tuning an LLM (pre-trained only on high-performance computing code) to generate MPI function calls to convert serial to parallel code.
• 09/2023: NeurIPS, accepted. Paper with UT Austin and Emergent AI at Intel Labs on multimodal representation transfer with fMRI encoding model.

• 08/2023 KDD (Knowledge Discovery & Data Mining): Served as an invited discussion panelist at LLM Day [website]
• 12/2022 NeurIPS: Organized in-person/hybrid Memory in Artificial and Real Intelligence (MemARI) workshop [website]