Summary
Ori Kronfeld is a research engineer and MSc EE who builds end-to-end machine learning solutions, currently driving development of SCVI-Tools for single-cell omics at the Weizmann Institute. With a background spanning VLSI analog design to algorithm development in healthcare, finance, IoT and defense, he translates raw data into production-ready generative and predictive models. His work includes disease diagnostics from mass-spectrometry, PPG-based blood estimates, and high-throughput single-cell modeling, reflecting a strong applied ML focus in life sciences. An independent consultant since 2016, he combines academic rigor from Technion with practical product delivery and open-source stewardship as SCVI-Tools maintainer. Notably, he moved from analog flash-memory engineering to leading a top Python toolkit for single-cell analysis, demonstrating rare cross-domain agility.
1 year of coding experience
14 years of employment as a software developer
MSc Electrical Engineering, MSc Electrical Engineering at Technion - Israel Institute of Technology
English, Hebrew