AK

Academic activities

Talks & seminars

  • 2026 Pan-cancer risk assessment with an EHR foundation model that predicts what happens next and when. Selected talk, New England Computational Biology Symposium (NECB), Microsoft Research New England.
  • 2026 Pan-cancer risk stratification via a foundation model of patient health histories. Flash talk, The Cancer Prevention Research Conference, Atlanta.
  • 2026 Pan-cancer risk assessment for early detection and prevention from real-world longitudinal clinical records. Cancer Early Detection and Diagnostics Clinic, Massachusetts General Hospital.
  • 2026 Tutorial on AI in Oncology. AI in Cancer Research Symposium, Ludwig Center at Harvard.
  • 2025 Cancer risk prediction from large-scale electronic health records. Hadlock Lab Seminar, Institute for Systems Biology.
  • 2025 Representation learning on longitudinal health trajectories using LLMs for disease risk assessment. MIT-MGB AI Cures, Cambridge.

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.

Student mentoring

  • Sreevatsa Nukala (2025–2026) — Master's student, Harvard T.H. Chan School of Public Health.
  • Abdullah Kuzeiz (2025) — Master's student, Harvard-MIT Health Sciences and Technology.
  • Sophie Sharum (2025) — Undergraduate student, Harvard University.
  • Nicole Xu (2024) — Undergraduate student, MIT.
  • Michael D. Dennison (2024) — Undergraduate student, MIT.

Reviewing

  • Journal reviewer: Journal of Machine Learning Research (JMLR).
  • NeurIPS 2026 (Top Reviewer); ICML 2026 (Technical Reviewer: Gold).
  • 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).
  • Workshops: CAO and GRaM @ ICLR 2026, TS4Health @ NeurIPS 2025, ML4LMS @ ICML 2024, SynS & ML @ ICML 2023, ML4PS @ NeurIPS 2021/2022/2023.