Invited Seminars

 

• "Decision-relevant Observability in Stochastic Optimal Control: A Relativistic Information Criterion for Reinforcement Learning Convergence"
  • Workshop on Partial Differential Equations, Mathematical Physics, and Numerics, 16-17 August 2025
  • NxtAI, 3-5 November 2025
• "Relative Information Theory in Cell Type Deconvolution: When More Accurate Methods Give Worse Actionable Insights" BioTechX, 16-17 September 2025

• "Using bioinformatics + InSilco to optimise research and development" BioTechX (panel discussion), 16-17 September 2025

• "Biomarkers for Neurodegenerative Disorders and Cancers" BioTechX, 16-17 September 2024
• "Cell State Heterogeneity In Spatial Transcriptomics Deconvolution" NYU Langone Health, 13 May 2024
• "A Domain-Oriented Analysis Pipeline for Spatial Transcriptomics with Application to Melanoma Data". Levin Lecture at Columbia University, 11 November 2023
• Statistical and Machine Learning Methods for Adaptive Radiotherapy Treatment Plans
  • Memorial Sloan-Kettering Cancer Center, March 2023
  • Onc.AI, January 2023
• "Animal Sacrifice as a Potential Cause of Decelerating Tumor Growth in Late-State Xenograft
  Experiments" Berry Consulting, February 2023