Vanya Valindria
Dr. Vanya Valindria is an Assistant Professor of Data Science, specialising in AI with a focus on medical AI, digital health, and generative AI media. She earned her PhD in Computing Research from Imperial College London, where she worked on machine learning models for medical image analysis. She also holds a Master’s degree in Computer Vision and Robotics from the European Erasmus Mundus program, and a Bachelor’s degree in Electrical (Biomedical) Engineering from the Bandung Institute of Technology.
Before transitioning into academia, Dr. Vanya gained valuable industry experience as a Senior AI Researcher in both digital healthcare and e-commerce, working on large-scale AI implementations and research projects. This industrial experience allowed her to bridge practical applications of AI with academic research, offering a unique perspective on innovation and problem-solving. Prior to joining Monash University, Dr Vanya served as a Postdoctoral Research Fellow in the Center of Medical Image Computing, University College London and Medical AI Researcher & Consultant in IMERI Faculty of Medicine, University of Indonesia.
Dr. Vanya's research interests focus on the intersection of AI and digital healthcare. She works on multi-modal disease diagnosis and prognosis, utilising diverse medical data, such as images, clinical records, and laboratory results. She is also exploring the potential of generative AI in multimedia tailored to the Indonesian context. Her passion for advancing AI in healthcare drives her current research efforts, aiming to revolutionise disease screening, diagnosis and treatment, particularly in underserved regions.
More information
- Marco Palombo, Vanya Valindria, Saurabh Singh, Daniel C Alexander, Eleftheria Panagiotaki, et al. "Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI". Nature Scientific Reports, Feb 2023, page 2999.
- Snigdha Sen, Vanya Valindria, Saurabh Singh, Eleftheria Panagiotaki, et al. "Differentiating False Positive Lesions from Clinically Significant Cancer and Normal Prostate Tissue Using VERDICT MRI and Other Diffusion Models". MDPI Diagnostic, July 2022, page 1631.
- Vanya Valindria, Marco Palombo, Eleni Chiou, Saurabh Singh, Shonit Punwani, Eleftheria Panagiotaki. "Synthetic Q-space learning with deep regression networks for prostate cancer characterisation with VERDICT". Proceedings of IEEE 18th International Symposium on Biomedical Imaging (ISBI), May 2021 (Oral presentation).
- Robert Robinson, Vanya V Valindria, Wenjia Bai, Daniel Rueckert, Ben Glocker, et al. "Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study". Journal of Cardiovascular Magnetic Resonance, Dec 2019, pages 1- 14.
- V Valindria, N Pawlowski, M Rajchl, I Lavdas, EO Aboagye, A Rockall, D Rueckert, B Glocker. "Multi-modal learning from unpaired images: Application to multi-organ segmentation in CT and MRI". Proceedings of IEEE WACV (Winter Conference of Application in Computer Vision), USA, Mar 2018.
- Vanya V Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric Aboagye, Andrea G Rockall, Daniel Rueckert, Ben Glocker. "Domain adaptation for MRI organ segmentation using reverse classification accuracy" Proceedings of International Conference on Medical Imaging with Deep Learning (MIDL), June 2018.
- Vanya V Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O Aboagye, Andrea G Rockall, Daniel Rueckert, Ben Glocker. "Reverse classification accuracy: predicting segmentation performance in the absence of ground truth". IEEE Transaction on Medical Imaging (IEEE-TMI), April 2017, pages 1597-1606.
For more up-to-date publication list, you can visit Vanya’s Google scholar page.
Teaching
- ITI5196 - Data Wrangling
- ITI5125 - IT Research Methods
- ITI5122 - Professional Practice
Research Interests
- Machine Learning for Medical Image Analysis
- Medical AI & Digital Health
- Deep Learning & Computer Vision
- Multi-modal Large Language Models (LLMs)
- Generative AI in Multimedia (audio, image, video)
- Exploring the Use of Generative AI for Moderating Online Polarisation (PI), Monash Data Futures Institute, Amount: AUD $49,500 (2023-2024)
- Inclusive Language Technologies: Data Curation and Large Pretrained Language Models (PI), Monash University FIT, Action Lab, Amount: AUD $33k (2023-2024)
- Social Media Analysis of Misinformation and Vaccine Hesitancy in Three Middle-Income Countries (Co-PI), Center for Emerging Infectious
- Diseases Policy & Research (CEID), Boston University, Amount: USD $25k (2022-2023)
- Exploring the evolution of racial biases over time through framing analysis (PI), Google Research Scholar Award, Amount: USD $60k (2021-2022)
- Explore CS Research ( Research Workshop for Female Undergraduates) (PI), Google, Amount: USD $18k (2020)
- LEARN : Label-Efficient Active Resilient Network (Co-PI), DARPA Learning with Less Labels (LwLL), DARPA, Amount: USD $462k (2019–2022)
- Semi-supervised Learning of Multimodal Representations (Co-PI), DARPA Active Interpretation of Disparate Alternatives (AIDA), Amount: USD $200k (2019–2020)
- Bridging Linguistic and Visual Knowledge through Visual Genome (PI), BU Hariri Institute Research Incubation Award, Amount: USD $28k (2019–2020)
- BIGDATA: IA: Multiplatform, Multilingual, and Multimodal Tools for Analyzing Public Communication in over 100 Languages (Co-PI), NSF, Amount: USD $1m (2018–2022)
- "Confronting the Risks of Artificial Intelligence." Talkshow with Vanya Valindria, LIVE on TV SEA Today News (2023)
- "Machine Learning Applications in E-commerce." Keynote Address, BukaMeet x Algoritma (2023)
- "Generative AI: from Imagen, Wavenet, to AI Voice." Keynote Speaker, Google Developer Groups DevFest Jakarta (2022)
- "Artificial Intelligence in Medicine with Dr Vanya Valindria." Scienclopodia (2021)
- "Episode 5 - Vanya Valindria." Kartini Teknologi Podcast (2019)
- "Double vision: Vanya Valindria on multiple-organ MRI detection software." Imperial Magazine Issue 41 (2017)
- "DoC prominently represented at first one day Grace Hopper Celebration in London." Vanya Valindria, a DoC PhD student received a very competitive scholarship, Imperial DoC news (2016)
- "5 Perempuan Inspiratif di Bidang Teknologi." Garudea .com (2024)
- "Apa Mimpi Wanita Teknologi Indonesia." Detik.com (2008)
- BPRI Indonesian Presidential Fund Scholarship (2015 - 2019)
- Best Poster Award at the Symposium of AI, London PhD Network (2018)
- Top Finalist Women in Entrepreneur (WE-Innovate), Althea-Imperial London (2017)
- Best Essay on “The Social Impact of Computer Vision”, International Computer Vision Summer School (ICVSS) (2016)
- Best Essay Award, Grace Hopper Celebration (GHC/1) by Anita Borg (2016)
- Best Meaningful Innovation Idea for Healthcare, PHILIPS Indonesia (2013)
- European Union Scholarship (2009 - 2011)
- Woman in Technology Awards, Nokia Siemens Networks (2008)