Résumé

Updated August 2026 · Download the PDF

Education

The Pennsylvania State University

Expected May 2028

B.S. Computer Science, Minor in Physics, AI · Schreyer Honors College

University Park, PA

  • GPA: 3.71 / 4.00
  • Relevant Coursework: Linear Algebra, Data Structures & Algorithms, Systems Programming, Discrete Mathematics, Physics (Mechanics / E&M)

Research

Independent · TransformerLens

  • Recovered the IOI circuit (Wang et al.) with direct logit attribution, activation patching, and path patching, each hand-implemented
  • Framed as a methods comparison: DLA finds the name-mover heads, patching finds what feeds them, path patching isolates the link between — each blind to what the next reveals

Independent · PyTorch, TransformerLens · LessWrong

  • Trained a 6-block character-level transformer and isolated a copying head via OV-circuit eigenvalues and copying scores
  • Disconfirmed two of my own hypotheses — quotation and parenthesis grammar — with targeted QK attention-pattern controls
  • Found the OV circuit encodes bracket completion while the QK circuit stays blind to it: a half-built mechanism. Full code published alongside the writeup

Penn State Multi-Campus REU · advised by Prof. Asif ud-Doula · Python

  • Built a Monte Carlo scattering atmosphere feeding a general-relativistic pulse-profile model (Schwarzschild light-bending, Doppler) to quantify the systematic from the isotropic-emission assumption in neutron-star mass–radius measurements
  • Validated against Chandrasekhar's exact H-function (reduced χ² = 0.70) and Bogdanov et al. waveforms (0.11% peak error)
  • Showed the systematic routes between pulsed fraction and waveform shape by hot-spot geometry and spin; first-author paper in preparation

Experience

Nittany AI Advance Internship Program

Dec 2025 – Present

Application Specialist · Client: Penn State Office of the Physical Plant

State College, PA

  • Scoped ambiguous client requirements into technical documentation for the Docfinity system
  • Prototyped evaluation protocols for generative and OCR-derived content, and drove requirements to consensus across a cross-functional team ahead of launch.

Penn State Department of Physics

Aug – Dec 2025

Physics Learning Assistant · PHYS 211

University Park, PA

  • Taught calculus-based mechanics in problem sessions, labs, and exam prep

Skills & Interests

ML & Research: Python, PyTorch, HuggingFace Transformers, TransformerLens, NumPy, Scikit-learn, Git

Interpretability: Transformer circuits, induction heads, OV/QK analysis, activation and path patching, direct logit attribution

Methods: Monte Carlo simulation, numerical validation, linear algebra

Also: Java, JavaScript / React, SQL, Flask