Bowen Yu

Bowen Yu 余博文 IPA: [y˧˥ po˧˥ wən˧˥]

Undergraduate, MIT Physics & AI

I'm an undergraduate at MIT (Class of 2027), double-majoring in Physics (Course 8) and Artificial Intelligence (Course 6-4). Before MIT I spent a year studying physics at Peking University.

I work with Prof. Mingda Li in the MIT Quantum Measurement Group on machine learning for condensed matter physics, materials discovery, and defect engineering, supervised by Mouyang Cheng. I also work with Prof. Kaiming He on computer vision and generative modeling, supervised by Ming-Yang Deng.

Outside the lab, I enjoy long-distance running, classic films, linguistics, philosophy, vibe-coding projects, and Liu Cixin's novels.

Bowen Yu

Selected publications

All publications
  1. DefectNet workflow demonstration

    A Foundation Model for Non-Destructive Defect Identification from Vibrational Spectra

    Mouyang Cheng†,*, Chu-Liang Fu†, Bowen Yu†, Eunbi Rha, Abhijatmedhi Chotrattanapituk, Douglas L. Abernathy, Yongqiang Cheng, and Mingda Li*

    † Equal contribution. * Corresponding author.

    Matter Published Mar 2026 · arXiv May 2025

    A non-destructive defect identification probe to predict the chemical identity and concentration of substitutional point defects directly from vibrational spectra

    arXiv Paper Details
  2. Integrated workflow for XPCS, theory, and domain-adaptive machine learning in grain-boundary dynamics

    Probing Non-Equilibrium Grain Boundary Dynamics with XPCS and Domain-Adaptive Machine Learning

    Mouyang Cheng†,*, Bowen Yu†, Chu-Liang Fu, Nina Andrejevic, Matthias T. Agne, Riley Hanus, Qiwei Wan, Nathan C. Drucker, Thanh Nguyen, Andrei Fluerasu, Lutz Wiegart, Xiaoqian M Chen, Daniel Pajerowski, Yongqiang Cheng, Joshua J Turner, G. Jeffrey Snyder, and Mingda Li*

    † Equal contribution. * Corresponding author.

    In review arXiv May 2026

    Pairing X-ray photon correlation spectroscopy (XPCS) with semi-supervised domain adaptation to quantify slow, non-equilibrium grain-boundary dynamics in nanocrystalline silicon

    arXiv Details

Experience

View full experience

  1. Jun 2026 — Present

    Miami, FL

    Citadel Securities

    Quantitative Research Analyst

    Summer quantitative research in systematic equities.

  2. Aug — Sep 2025

    Beijing, China

    ByteDance

    Large Language Model Data Researcher

    Built a 500+ problem physics benchmark and a test-time scaling pipeline for frontier LLM reasoning.

  3. Jun — Jul 2025

    Shanghai, China

    Intel Corporation

    AI Workload Deployment Intern

    Developed GPU memory-layout tutorials and CuTeDSL performance references for AI workloads.

Highlighted posts

All posts
Linear layout basis diagram

Jul 3, 2025

Linear Layouts in Triton

Notes on linear layouts in Triton and its conversion with various traditional layout types.

 Can God Be Proved to Exist? —Regarding Anselm’s Ontological Argument

May 3, 2026

Can God Be Proved to Exist? —Regarding Anselm’s Ontological Argument

Anselm’s ontological argument, presented in Proslogion II, seeks to demonstrate the existence of God solely by reflecting on the concept of God as "something than which nothing greater can be thought." I will analyze the argument, its premises, and the logical structure in this blog post.

Highlighted projects

All projects
Fireroad.ai

Apr 25, 2026

Fireroad.ai

An AI-powered course-planning prototype for MIT students, combining a Fireroad-style planner with a tool-calling academic advising chat agent.

 Daily Logs

Mar 17, 2026

Daily Logs

An iOS daily life logging app for tracking sleep, meals, showers, notes, photos, and lightweight personal analytics.