cv | TRKOY

2025-2028
PhD in Advanced Machine Learning

University of Cambridge, Cambridge, United Kingdom
- Fully-funded by EPSRA DLA scholarship
- Affiliated with Jesus College
2023-2024
MPhil in Machine Learning and Machine Intelligence

University of Cambridge, Cambridge, United Kingdom
- Graduate with Distinction
- Affiliated with Wolfson College
2022.1-2022.7
Visiting student in Mathematics and Statistics

University of Oxford, Oxford, United Kingdom
- Fully-funded by HITsz
- Affiliated with St Peter's College
2019-2023
BEng in Data Science

Harbin Institute of Technology (Shenzhen), Shenzhen, China
- Graduate with Distinction

2024.11-2025.10
Research Assistant in Machine Learning

Machine Learning Group, Department of Engineering, University of Cambridge
- Research about probabilistic machine learning, generative models, and applications on molecular generation
2022.4-2024.7
Research Assistant

The Alan Turing Institute
- Research about scalable graph neural networks

Generative models
- Diffusion models; Stochastic Interpolants; Normalizing Flows; Consistency Models; etc.
- Generative models on non-Euclidean spaces, e.g. discrete spaces and manifolds
Energy-based Models
- EBMs meet Diffusions/Stochastic-Interpolants/Flow-Matchings
- EBMs meet free energy difference estimation
Sampling methods and neural samplers
- Replica Exchange (a.k.a. Parallel Tempering); Sequential Monte Carlo; etc.
- Boltzmann Generator; Boltzmann Emulator; etc.
- Diffusion inspired neural samplers
AI for Science
- Molecular/material Generation