ML Research Engineer · MSc @ Tel Aviv University
I'm working at the intersection of machine learning and computational biology, with a focus on graph neural networks and large language models. I build pipelines that let deep learning research translate into real-world impact.
About
I'm an MSc Computer Science student at Tel Aviv University, where my research sits at the intersection of graph neural networks, large language models, and computational biology. My thesis focuses on deep learning models for polyploid species evolutionary history.
Before TAU, I studied CS at Ben Gurion University (GPA 90.5, 3× Ashalim Program member) and spent most of 2024 as a Junior Data Scientist at RumenEra, building XGBoost models and preprocessing pipelines for multi-modal microbiome data.
I'm open for ML research engineer roles in industry, where research and engineering meet.
Outside of research, I spend a lot of my time with Panda, my dog, who keeps me busy enough outside the lab. When she lets me, I'm into basketball, snowboarding, surfing, and pretty much anything that gets the adrenaline going.
Research
ICLR 2026 GRAM Workshop (Tiny Paper Track) · First Author
A GNN-based method to enhance LLM embeddings for downstream NLP tasks by exploiting the geometry between transformer layers.
MSc Thesis · Tel Aviv University (in progress)
Large-scale benchmarking of polyploid phylogenetic inference methods, using 21 empirical datasets and extensive simulations as ground truth.
Experience
November 2024 – Present
October 2021 – August 2024
February 2024 – October 2024
Toolbox
Recognition
Contact
I'm open to ML research engineer and ML engineer opportunities, research collaborations, and interesting conversations. The fastest way to reach me is email.