About
I am a doctoral research fellow at the Digitial Signal Processing and Image Analysis (DSB) group at University of Oslo, Norway. My current research focuses on improving the stability and effectiveness of self-supervised learning (SSL) methods by leveraging high-level supervisory signals to guide training, under the advisement of Prof. Adín Ramírez Rivera and Prof. Michael Kampffmeyer.
Background
- 2022-2024: MSc in Data Science at Uppsala University, Sweden.
- 2020-2022: BSc in Applied AI at Mälardalen University, Sweden (Not completed).
- 2018-2020: BSc International Business Management at Mälardalen University, Sweden.
Recent News
August 14, 2025, Research Visit: Began a five-week research stay in Tromsø, Norway, at the UiT Machine Learning Group at the Arctic University of Norway, hosted by Prof. Michael Kampffmeyer.
June 20, 2025, Accepted Paper: Our paper SPoT: Subpixel Placement of Tokens in Vision Transformers has been accepted to the Efficient Computing under Limited Resources: Visual Computing (ECLR) workshop at the International Conference on Computer Vision (ICCV) conference. We will present it on October 19 in Honolulu.
Paper Project Code
June 10-14, 2025, Summer School: Participated in the NORA Summer School on Multi-Modal Learning, organized by the Norwegian Artificial Intelligence Research Consortium (NORA) and hosted by Østfold University College in Fredrikstad.
Official Website Course Syllabus
January 14, 2025, Accepted Paper: Our paper Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-tuned Models has been accepted to the Northern Lights Deep Learning (NLDL) conference. Last week, I had the privilege of delivering both an oral and a poster presentation, where I showcased our method and results.
Paper Slides Poster Code
October 23, 2024, PhD Lunch: Organized a lunch for PhD students at the Department of Informatics which attracted 40 attendees.
September 30, 2024, Guest Lecture: Held a guest lecture on hallucinations in LLMs in a MSc level course on LLMs at Uppsala University.
Slides
September 23-25, 2024, VIGS and VI Days: Attended the 2024 edition of Visual Intelligence Days.
September 4, 2024, Preprint Paper: Our paper Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models is now available as a pre-print paper.
arxiv
August 8, 2024, PhD: Started my PhD at the DSB research group at University of Oslo, Norway.
June 7, 2024, MSc Thesis Defence: I successfully defended my Master Thesis titled “Hallucination Detection in LLMs: Using Bayesian Neural Network Ensembling”.
DiVA