About Me
I'm a Data Science major at NYU (Philosophy minor), working at the intersection of deep learning, computational neuroscience, and philosophy of mind.
Current research: a multi-modal study of the C. elegans connectome asking how much of local wiring is determined by topology vs. gene expression, and neural-symbolic prototypes for reasoning systems that sit between pure neural and pure symbolic methods.
I like small nervous systems, interpretability, and arguments that can lose.
More on Projects, Experience, and Certifications.
Projects
Chasing myelin — how an autism hypothesis about supply became one about timing
Myelin is the fatty insulation around axons, and the prefrontal cortex is the last part of the brain to get it. That makes a tempting hypothesis: if the machinery for making it is constitutionally weak, the last place to be insulated should be the first place to fail — which happens to be the region whose functions look most like the ones disrupted in autism. This is the log of testing that idea on public data, the two reframings the data forced, and the sharper question that came out the other side.
Sep 20, 2026
Bendy bodies, restless minds — a correlation we can measure but cannot yet explain
People with unusually flexible joints get migraines about twice as often as everyone else, and are diagnosed with ADHD around five times as often. The association is real, replicated, and partly genetic. This is the log of an attempt to find the mechanism behind it — the elegant explanation that turned out to be wrong, the things we could rule out, and the one thread still worth pulling.
Sep 09, 2026
Where is the 'blueprint' in the C. elegans connectome?
A worm's genome is far too small to store its ~7,000 wiring connections one by one — yet the wiring is nearly the same in every animal. So where is the information that specifies it? This is the log of a systematic hunt: a dozen candidate 'hidden codes' tested and ruled out, and the surprisingly simple thing that was left standing.
Jun 30, 2026
“Arise, awake, and stop not till the goal is reached. — Swami Vivekananda”
Education & Certificates
Education
- B.A. Data Science (Philosophy minor) · New York University
Coursework
- Advanced Topics in Data Science (DS-UA 301) · NYU
Certification
- Computational Neuroscience · University of Washington
- Mind and Machine · CU Boulder
- Meta Data Analyst · Meta · 5 courses
Independent Research
- C. elegans Connectomics & Transcriptomics
- Neural-Symbolic Reasoning (HSDE)
Blog Posts
First posts coming soon.
Reading List
I love to read across many different topics. Here is a selection of my favorite works, across disciplines, and my perspective on each of them.
- A New Kind of Science — Stephen Wolfram
- Atoms and Archetypes — Marie-Louise von Franz
- Bulfinch’s Mythology — Thomas Bulfinch
- Collected Works — Aristotle
- Collected Works — Immanuel Kant