Varun Sampath Kumar
Mærsk 2, Campusvej 55
Odense M, Denmark-5230
About Me
Varun Sampath Kumar, is a first-year PhD student at the Applied AI and Data Science Unit, The Maersk Mc-Kinney Møller Institute, University of Southern Denmark (SDU) under the supervision of Dr. Vinay Chakravarthi Gogineni. His research centers on trustworthy AI and Responsible AI, with a focus on Machine Unlearning. He is particularly interested in developing robust machine unlearning algorithms for both vision (discriminative and generative) models and large language models (LLMs). Before joining SDU, Varun received Integrated M.Sc. (B.Sc. + M.Sc.) in Data Science from PSG College of Technology (an autonomous institution under Anna University) in June 2025. He has completed several internships at KLA, primarily working on self-supervised learning for wafer defect classification and contributed to data engineering pipelines involving Apache Iceberg, DuckDB, and PySpark.
I am always open to new ideas, collaborations or discussions (whatever it may be). Feel free to reach out! You can find my contact info, CV, and projects here, or visit my GitHub.
Research Keywords: Machine Unlearning, AI Safety, Robustness, Model compression, Mechanistic Interpretability
news
| Jun 01, 2026 | Our paper Controlling Path Dependence in Gradient Ascent Unlearning through Forget-Set Ordering has been accepted to UAI 2026! |
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| Apr 26, 2026 | Presented our paper On the Path Dependence of Gradient Ascent-Based Unlearning at ICLR TTU Workshop 2026 in Rio De Janeiro! |
| Mar 20, 2026 | Our paper FINU: Fisher Informed Noise Injection for Efficient Zero Shot Machine Unlearning has been accepted to IJCNN 2026! |
| Jan 14, 2026 | Our paper RKLU: Redistribute KL Distillation for Efficient Retain-Free Machine Unlearning has been accepted to ESANN 2026! |
| Jan 01, 2026 | Exciting News! I have been awarded a 100,000 DKK travel grant from The Grethe and Werner Parthum Foundation. I am sincerely grateful for their generous support and look forward to the opportunities this research visit will bring. Stay tuned for more exciting research updates are coming soon! |