Ahmad Wisnu Mulyadi

Postdoctoral researcher with the Virtual Patient Engine team at the BioMed X Institute in Heidelberg, Germany, focusing on knowledge graph representation learning.

Last updated: March 2024

  • March 2024: Relocated to Germany 🇩🇪 and joined the Virtual Patient Engine (VPE) team at the BioMed X Institute in Heidelberg. I am contributing to the development of a computational platform aimed at predicting the efficacy of first- or best-in-class drug candidates for treating inflammatory bowel disease (IBD), a project supported by Sanofi in Frankfurt am Main, Germany.

  • February 2024: Earned my Ph.D. in Brain and Cognitive Engineering from Korea University, South Korea. My dissertation is titled "Knowledge-Guided Deep Representation Learning for Medical Data Analysis."

  • December 2022: Presented the workshop paper "Clinically-guided Prototype Learning and Its Use for Explanation in Alzheimer's Disease Identification" at Medical Imaging Meets NeurIPS 2022 in New Orleans, Louisiana, USA. [Link]

  • August 2022: Presented the conference paper "Topological-aware Prototype Learning for Estimating Explainable Alzheimer's Disease Likelihood Map" at KAIA 2022 in Jeju Island, South Korea.

  • July 2021: Presented the conference paper "ProtoBrainMaps: Prototypical Brain Maps for Alzheimer's Disease Progression Modeling" at MIDL 2021 (Online). [Link]