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Vanya Valindria

Dr

Accepting PhD Students

PhD projects

Multimodal learning on Medical AI Data

20092025

Research activity per year

Personal profile

Biography

Vanya Valindria, ST, MSc, PhD-DIC is an Assistant Professor of Data Science at Monash University, Indonesia. She received her PhD in Computing Research from Imperial College London (2019), funded by the Indonesian Presidential Fund. She also holds an Erasmus Mundus MSc in Computer Vision and Robotics (with Distinction) and a BEng in Electrical Engineering (Cum Laude) from the Bandung Institute of Technology. Her research expertise lies at the intersection of medical image analysis, machine learning, and data science, with a strong focus on medical AI.

Prior to joining Monash University, Dr. Valindria was a Medical AI Researcher at IMERI, University of Indonesia, and a Postdoctoral Research Associate at University College London’s Centre for Medical Image Computing, where she worked on cancer image analysis. She also brings substantial industry experience as a Senior AI Research Engineer, leading generative AI research for e-commerce applications. 

Monash teaching commitment

  • ITI5122 – Professional Practice (2025, Term 3)

  • ITI5125 – IT Research Method (2025, Term 4; 2026, Term 4)

  • ITI5126 / ITI5127 / ITI5128 – Master’s Thesis (2026, Terms 1–3)

  • ITI5202 – Data Processing for Big Data (2026, Term 3)

  • FIT1045 – Introduction to Programming (2027, Term 1)

Research interests

  • Medical artificial intelligence and medical image analysis

  • Medical visual–language models

  • Multimodal learning for medical AI (imaging, text, clinical data)

  • Healthcare AI translation and deployment in real-world clinical settings

  • Generative AI for medical and healthcare data

  • Generative AI for media data, including image, video, and audio

  • Machine learning for disease diagnosis, prognostication, and decision support

Education/Academic qualification

Artificial Intelligence, Doctoral, Machine learning for Whole-body Scan Analysis, Imperial College London

1 Apr 20151 Jun 2019

Award Date: 1 Jun 2019

Research area keywords

  • Artificial Intelligence (AI)
  • Medical Imaging
  • Machine Learning
  • Medical Image Analysis
  • Digital Health
  • Data Science
  • Computer Vision
  • Image Processing

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Collaborations and top research areas from the last five years

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