MSc Machine Learning at KTH Royal Institute of Technology. Currently a research intern at SciLifeLab, working on methods for Parkinson's disease detection, evaluating latent embeddings.
Autumn 2026 at Shanghai Jiao Tong University: distributed ML systems and optimization. Previously a visiting student at Tsinghua (deep reinforcement learning, NLP).
What I'm interested in: training large models efficiently.
- kd-comparison — Bachelor thesis. Four knowledge distillation methods compared on ShuffleNetV2 over five seeds each. Concluded DKD performed the best. Thesis PDF
- RNN-project — RNN, LSTM and GRU compared on character-level generation, with perplexity, BLEU and BERTScore. Four-person course project.
Python, PyTorch, C, Java, Haskell, Go. Two years as a teaching assistant at KTH for programming techniques and programming paradigms.