About me
I am a fifth-year Ph.D candidate in Scientific Computing at Uppsala University, supervised by Associate Professor Andreas Hellander. Prior to starting my Ph.D study, I earned MS.c in Computational Science from Uppsala University, MS.c in Chemometrics and BS.c in Chemistry from University of Science and Technology of China.
Research Interests
I am currently working on learning from heterogeneous and distributed data. Particularly, I am interested in uncertainty quantification for multi-modal language models (using probablistic and generative modeling) and the data heterogeneity problems in federated learning.
News
01/2026: I started an internship at Modulai as a machine learning engineer, working on fine-tuning large language models using reinforcement learning with verifiable rewards (RLVR).
09/2025: Our paper “Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere” got accepted to NeurIPS 2025.
08/2025: Our team Cat Quartet won 2nd place out of >500 teams at Huawei Wireless Communication Global Hackathon 2025 (1st place in Europe region), building a denoising neural SVD operator to approximate SVD operations in a scalable and robust manner.
11/2024: Our team Hello Kitty secured 2nd place out of 35 teams at Huawei Sweden Hackathon 2024, tackling wireless localisation problems using machine learning methods.
10/2024: I had a poster presentation at the Swedish e-Science Academy about the theoretical analysis for the application of logit adjustment in heterogeneous federated learning.
06/2024: Our paper “Accelerating Fair Federated Learning: Adaptive Federated Adam” got accepted in IEEE Transactions on Machine Learning in Communications and Networking.
04/2024: Our paper “Federated Learning for Predicting Compound Mechanism of Action Based on Image-data from Cell Painting” got accepted in Artificial Intelligence in the Life Sciences.
01/2024: Our paper “Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning” got accepted in IoTDI ‘24.
10/2022: I had a poster presentation at the Swedish e-Science Academy about accelerating fair federated learning in Umeå, Sweden.
06/2022: We released Blades, a simulator for Byzantine-robust federated learning with attacks and defenses.
12/21: Our paper “Proactive autoscaling for edge computing systems with kubernetes” got accepted in UCC ‘21.
09/2021: I started my Ph.D study at TDB, Uppsala University, co-supervised by Andreas Hellander and Salman Toor.