I am a postdoctoral researcher in Computer Science at Stanford University working with Jure Leskovec. My research is focused on developing new machine learning methods for solving challenging problems in biology and biomedicine. I am particularly interested in representation learning of complex high-dimensional datasets in an unsupevised manner, or using a limited number of annotations. My current major research focus lies in the development of computational approaches that can generalize to never-before-seen contexts and tasks, and advancing new discoveries for single-cell genomics. I am involved in Chan Zuckerberg Biohub and Neuro-omics projects.
Previously, I completed my PhD in Computer Science from University of Zagreb, Croatia in 2019 while working as an early-stage researcher at Rudjer Boskovic Institute. I received University's award for the best thesis. During my PhD, I was also researching at Stanford University as a Fulbright scholar and University of Tokyo.
- 01/2022: Our Open-World Semi-Supervised Learning paper got accepted to ICLR.
- 01/2022: I gave a talk at the Max Planck Institute for Intelligent Systems and Cyber Valley Scientific Symposium.
- 10/2021: I am honored to be selected as a Rising Star in EECS by MIT!
- 09/2021: I am excited to give a talk at Stanford Graph Learning Workshop.
- 09/2021: I am honored to receive the best poster award at Basel Computational Biology Conference [BC]2.
- 08/2021: I gave an invited talk at KDD Workshop on Knowledge Graph.
- 07/2021: We organized a tutorial at ISMB/ECCB on Meta-learning for Bridging Labeled and Unlabeled in Biomedicine.