science at the intersection of

  1. psychology
  2. neuroscience
  3. linguistics
  4. artificial intelligence

about

impact science results insights evidence methods minds meaning

I work between cognitive science and applied ai.

trained as a philosopher, then a neuroscientist, now a computational linguist. the questions I started with about minds turned into questions about model architecture and training data.

education & training

  • university of washington

    ms computational linguistics

  • columbia university

    ms neuroscience & psychology

  • harvard · martinos center

    fmri research fellow

  • university of são paulo

    ba philosophy

past industry

  • aws
  • mitre
  • u.s. dept. of state
  • amazon
  • meta
  • google

current research

speech · prosody · lm

pilm

prosody-internalized language modeling. whether a small lm can internalize prosodic structure from text alone, and what that buys for downstream comprehension.

memory · retrieval

ccm-rag

why retrieval-augmented memory forgets so badly. a two-system architecture borrowing from how cortex and cerebellum coordinate memory in mammals.

cognition · position

developmental agi

what children get right that current ai doesn't. an argument for using developmental cognition, not language fluency, as the target for what general intelligence should mean.

writing

explore more on medium →

listening

book and paper summaries.

a peek at what I'm currently thinking about. recent: yang & chen on neuromorphic intelligence, wegner on the illusion of conscious will, arendt on the banality of evil. earlier sequences run through ricoeur on time and memory, marcus on the painter soutine, and adorno's minima moralia in full.

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industry portfolio

detailed industry case studies available on request.

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connect

open to research collaborations, advising, speaking, and conversations.

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