Peter Graham
I tend to see the world in systems.
I'm most at home when I'm making sense of concepts that haven't quite been understood yet. I've always been drawn to ideas that are still forming - exploring new frameworks, or building one from the lack thereof. The interesting work usually lives at the seams: where ML meets neuroscience, hardware meets software, research meets product.
I spend most of my time on problems that are abstract and open-ended. It's where I plan to do my life's work. Most of what shows up here lands here after a long, quiet runway.
What I'm shipping, in code.
asclepius-research-labs
Biomedical Research Intelligence: a multimodal hybrid RAG system over PubMed for mechanism mapping, target risk, and hypothesis generation - combining dense retrieval, knowledge graphs, and VLMs.
visit →honors-thesis
EEG frequency-band detection pipeline: Morlet wavelet synthesis, STFT/DWT decomposition, and ROC analysis across white, pink, and structured noise regimes.
visit →cortex-engine
Full-stack ML systems infrastructure for transformer-based neural decoders.
visit →neural-representation-explorer
60-neuron population simulation with PCA/UMAP dimensionality reduction and automated CI via GitHub Actions.
visit →monte-carlo-portfolio-optimization
Monte Carlo simulation framework for portfolio optimization in R.
visit →rotating-ascii-cube
A small C++ program that renders a rotating 3D cube in ASCII characters, runnable directly in your terminal.
visit →Writing as a way of thinking.
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January 20, 2026
→The Infrastructure ParadoxOn why the tools we build to scale ourselves are also the ones that make us legible.
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November 18, 2025
→The Art of Being Forward DeployedWhat FDE work taught me about the gap between a model and a deployed thing.
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October 28, 2025
→What It Means to Feel AliveA short essay on attention, friction, and choosing the harder room.
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October 5, 2025
→Why I Back Founders Forged in FireThe kind of founder I bet on, and the kind of pain that produces them.
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September 2, 2025
→The Question of IntelligenceNotes from neuroscience that I keep returning to as I work on ML systems.
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August 15, 2025
→The Psychology of Paradigm ShiftersWhat people who change fields have in common - and what doesn't matter at all.
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Ever evolving
→Hard to KillA living document on resilience - what I've learned about surviving, adapting, and coming back stronger from the moments that tried to break me.
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Ever evolving
→IdentityOn who I am, who I'm becoming, and the quiet work of deciding what to keep and what to outgrow.
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Ever evolving
→Pay Your DuesWhy shortcuts always cost more in the end - and why the unglamorous reps are the ones that actually matter.
Where I've been spending my time.
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VC · Various FundsWorking with partners investing early across Deep Tech, Life Sciences, and AI.
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Forward Deployed Engineer · Palantir TechnologiesLed Systems and AI/ML deployments across Aerospace and Healthcare; owned the US New Grad Recruiting Pipeline for FDEs.
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Technical Product Manager · Blackrock NeurotechManaged the development of the Neuralace™ 10,000+ Channel Next-Gen BCI across Business Development, Computational Neuroscience, and ML teams.
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Computational Neuroscience Researcher · Carney Institute for Brain ScienceBrain state detection algorithms for EEGs - advised by Elena Festa, Matthew Nassar, and Michael J. Frank.
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ML Research Fellow · Warren Alpert Medical School of Brown UniversityBuilt and trained models for the Department of Neurology.
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Data Science Fellow & Head TA · Brown UniversityDesigned and taught AI/ML seminars to researchers and clinicians at Brown Medical School; Head TA for Computational Statistics in Python.
What I studied, and where.
One paper, for now.
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Using Artificial Intelligence to Better Understand Natural Intelligence: Developing a Synthetic EEG Testbed for Evaluating Brain State Detection AlgorithmsBrown University - Honors Thesis · April 30, 2025 · view repo →