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May 27, 2026 Recognized as a Technical Reviewer: Gold (Top 25% Reviewer) at ICML 2026.
May 15, 2026 I joined ElastixAI (Seattle) as a Research Intern, working on model compression and fast inference for large language models.
May 01, 2026 Our paper Front-Loaded Robust Conformal Prediction: Heavy Calibration, Minimal Test-Time Cost was accepted at ICML 2026.
Feb 15, 2026 Two papers were accepted as Orals at ICLR 2026 workshops: CATS: Conformalized Adaptive Test-time Scaling (which also received a Best Poster Award) and How Test-Time Training Undermines Existing Safety Guardrails.
Jan 22, 2026 Our paper EvA: Evolutionary Attacks on Graphs was accepted at ICLR 2026.
Sep 18, 2025 Our paper One Sample is Enough to Make Conformal Prediction Robust was accepted at NeurIPS 2025.
Aug 20, 2025 Our paper KurTail: Kurtosis-based LLM Quantization was accepted at EMNLP 2025.
Jul 14, 2025 Attended the Gaussian Processes Summer School 2025 in Manchester.
Sep 01, 2024 I started my PhD in the Trustworthy AI Lab at the University of Cologne, advised by Prof. Aleksandar Bojchevski.
May 01, 2024 Our paper on robust conformal prediction was accepted at ICML 2024.
Feb 01, 2024 Our paper titled Rethinking Label Poisoning for GNNs: Pitfalls and Attacks accpeted at ICLR 2024.
Jan 15, 2024 I joined Axelera AI as a Research Intern.
Jan 21, 2023 Our paper on probing the representation of graph-based models was accepted at AISTATS.
Nov 16, 2022 I will be presenting our new preprint, titled Probing Graph Representation for Molecules, at the ELLIS ML4Molecules Workshop.
Dec 15, 2021 Our team ranked 3rd in the Science4cast competition, part of the 2021 IEEE BigData Cup Challenges.
Nov 01, 2021 I have joined CISPA, as a Reasearch Assosiate.
Jun 21, 2021 Our paper Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph received the Best Student Paper award at the 13th ACM Web Science Conference.