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
Antibiotic Resistance — Mutation Trajectory Prediction
Predicting the next resistance mutation given an ordered evolution history, over ALEdb plus CARD plus deep mutational scanning data. A LightGBM + autoregressive transformer + reranker stack lifts canonical-AMR top-3 from 0.17 to 0.403 across 14 drug classes.
May 11, 2026
cfDNA Cancer Detection — A Cross-Cohort Recovery Story
Cell-free DNA methylation cancer detection over the Loyfer atlas. Cross-cohort AUROC on GSE122126 went from 0.217 (below random, model inverted) to 0.850 across four of five cancer types. The four mechanisms that closed the gap, and the literature check that showed they're not novel.
May 11, 2026
Clinical Trial Failure Prediction
Phase-3 trial outcome prediction over the AACT clinical trials database, with a leakage audit that proved the headline number is signal, not label encoding. Audited AUROC 0.8603. The audit methodology is the part worth carrying forward, not the model.
May 11, 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