Curriculum Vitae
Education
2026 – 2028
University of MichiganM.S. in Computer Science and Engineering, expected May 2028
2022 – 2026
Princeton UniversityB.A. in Mathematics, minor in Computer Science
Departmental GPA 3.95/4.0.
Research experience
2024 – 2025
Research Assistant, Princeton Vision & Learning Labwith Prof. Jia Deng
InfiniViTac, co-first author: built a dual-GelSight
real-world evaluation rig and collected open-world tactile data across 60 objects and 10 scenes;
built the rigid-body simulation baseline that isolates the effect of simulation fidelity.
FetchBench: built a collision-data generation
pipeline spanning 6,000 procedurally generated environments, then finetuned and evaluated
state-of-the-art collision-detection models across those environments.
2025 – 2026
Research Assistant, ZLab, Princeton Universitywith Prof. Zhuang Liu
Systematic analysis of reasoning training in vision–language models: how
distillation teachers, data mixtures and base models shape the reasoning behaviour that is
learned. Led evaluation and behavioural analysis, built a quantitative taxonomy for comparing
reasoning behaviour across models, and found a bug in a widely used open-source evaluation
framework.
Publications
See the research page for the full list with figures and write-ups.
Theoretical and mathematical work
2025 – 2026
Critical batch size in neural network optimizationSenior thesis, with Prof. Boris Hanin
When increasing batch size stops buying proportional speedup, combining
stochastic modelling of SGD with empirical scaling experiments.
2025
Cryo-EM reconstructionJunior independent work, with Prof. Marc Aurèle Gilles
Cryo-EM as a high-dimensional statistical inverse problem, focusing on
latent-variable inference and spectral methods for molecular heterogeneity.
Honors
2026
Elected member, Sigma XiThe Scientific Research Honor Society, elected by the Princeton mathematics department upon graduation
Selected writing
2024
Revisiting Bayesian Filtering: From Kalman Filter to Particle FiltersJunior Seminar, Princeton Mathematics
2022
Surfaces and IsomorphismDirected Reading Program, Princeton Mathematics
Technical skills
ML & scientific
PyTorch, NumPy, OpenCV, scikit-learn
Robotics & sim
Isaac Sim, PyBullet, Trimesh, URDF, tactile sensing, physical simulation, 3D geometry
Tools
Git, Linux, Slurm, LaTeX, TensorBoard
Spoken
English (native fluency), Chinese (native)
Service and activities
2023 – 2026
Peer Mentor, The Noetherian RingPrinceton Women in Mathematics
2023
Local Organizing Host, Program for Women and MathematicsInstitute for Advanced Study, Princeton
2024
Poster presentation, Conference on Robot Learning (CoRL)Munich, Germany
2022 – 2023
Princeton Laptop Orchestra (PLOrk)
2022
Musical Director, Princeton University Players