Teaching

• Tutor & marker for Probabilistic Modelling and Reasoning (2019–2020), University of Edinburgh.
• Marker for Machine Learning Practical (2019–2021), Introductory Applied Machine Learning (2019–2021), and Data Mining & Exploration (2020–2021), University of Edinburgh.
• Teaching assistant for Knowledge Graph Analysis (WS17/18, WS18/19), University of Bonn, delivering tutorial, course content preparation, exercise and exam assessment.

Reviewer & Program Committees

• NeurIPS 2025, ICML 2025 (Outstanding Reviewer), NeurIPS 2024 (Top Reviewer), ICML 2024 (Best Reviewer), NeurIPS 2023 (Top Reviewer), ICML 2023.
• AISTATS 2022–2023 (Top Reviewer), NeurIPS 2022 (Top Reviewer), ICLR 2022 (Highlighted Reviewer).
• Workshop program committees: TS4Health @ NeurIPS 2025, ML4LMS @ ICML 2024, SynS & ML @ ICML 2023, ML4PS @ NeurIPS 2021/2022/2023.

Funding and Fellowships

• Innovation in Cancer Informatics (2025-2027).
• AI for Science Fellow, DAAD Postdoc-NeT-AI program 2024.
• NeurIPS Scholar Award 2022.
• PhD Scholarship (2019-2023).

Student Mentoring

• Abdullah Kuzeiz, Harvard-MIT Health Science and Technology.
• Sophie Sharum, CS Undergraduate at Harvard.
• Nicole Xu, CS Undergraduate at MIT.
• Michael D. Dennison, CS Undergraduate at MIT.