Interactive research desk

Small moving pieces for a personal research site.

A quiet set of cursor-aware details: a portrait that reacts to light, a research constellation, a paper stack, tiny project simulations, and a companion whose eyes follow the pointer.

Langchen Liu portrait
A paper-like companion whose eyes follow the cursor
Research constellation hover to pull nearby ideas
PDEScientific MLSymbolicQuantAgents
Equation ink terms settle as you scroll

E(R_p)=w^\top\mu

V(R_p)=w^\top\Sigma w

\mathcal{L}(u,\nabla u,\nabla^2u)=0

f^\star=\arg\min_f \mathcal{E}(f)

Cursor-following frontier risk and return move together
risk 0.42 return 0.68
Lab bench micro-interactions for each route
Notes Projects Papers
Langchen Liu

Langchen Liu

PhD Student in Statistics & Data Science at Yale University

Yale University

Biography

I graduated from Duke Kunshan University and Duke University with a Bachelor of Science degree in Applied Mathematics. I was then moved to the University of Pennsylvania as a Ph.D. student in Applied Mathematics and Computational Science(AMCS) with Dr. Lu Lu. Now I am transferring to Yale University as a Ph.D. student in Statistics & Data Science(S&DS). My research concentrates on building foundation models, LLMs, federated learning, and their applications in scientific machine learning.

Interests
  • Federated Learning
  • LLM and Foundation models
  • Deep Learning
  • AI4Science
Education
  • BSc in Applied Mathematics, 2022

    Duke University

  • BSc in Applied Mathematics, 2022

    Duke Kunshan University

Experience

 
 
 
 
 
Ph.D. student in Statistics & Data Science
August 2023 – Present New Haven
Advisor Lu Lu
 
 
 
 
 
Ph.D. student in Applied Mathematics and Computational Science
August 2022 – August 2023 Philadelphia
Advisor Lu Lu
 
 
 
 
 
B.S. in Applied Mathematics and Computational Science
August 2018 – May 2022 Durham
 
 
 
 
 
B.S. in Applied Mathematics and Computational Science
August 2018 – May 2022 Kunshan