Alona Levy-Jurgenson

About me
I am a PhD student at the CS department at the Technion, advised by Prof. Zohar Yakhini. Currently, we are developing computational methods for characterizing tumor heterogeneity in spatial transcriptomics data -- a project supported by the European Union's Horizon 2020. Previously, we developed a deep learning model to infer spatial transcriptomics, specifically gene expression, from pathology whole-slide images. We also developed a deep learning model to predict DNA methylation based on DNA sequence and gene expression, and created a framework to analyze the learned representations. I received my MSc from Tel-Aviv University where I was advised by Prof. Erez Shmueli on developing machine learning models for digital signature verification using wrist-worn devices. During my MSc, I joined a tight-knit startup that sprung out of Tel-Aviv University's Department of Biomedical Engineering where I developed machine learning models to provide early prediction of manic-depressive episodes in bipolar patients.
I was a lecturer in Algorithms for Computational Biology and a TA in the following courses: Algorithms 1; Intro. to Data Science; Intro. to Machine Learning.