About me

I am a senior research scientist with multi-disciplinary experience. My primary interest is in developing and applying Machine Learning-based approaches to a variety of challenging problems in different domains. My ML career started in 2014, focusing on Computer Vision for about a decade. Before that, I spent 5 years as an Image Processing and Electro-Optics Engineer.

Since 2021, I have been with IBM Research - Haifa, where I have spent most of my time working on Machine Learning solutions for the Healthcare domain: first on Computer Vision for medical images, then developing and fine-tuning large sequence (language)- and structure-based models in the biochemical domain. More recently, my focus shifted to Quantum Computing, where I’m working on AI and statistical models for error mitigation and subspace identification for sample-based quantum diagonalization.

I completed my M.Sc in Electrical Engineering at the Technion (2015) under the supervision of Prof. Yoav Schechner, and B.Sc in Physics and Electrical Engineering at the Tel-Aviv University (2008).

I enjoy programming puzzles, traveling, spending time with my family, and premier league football. Not necessarily in that order.

Publications

• Yoel Shoshan, Moshiko Raboh, Michal Ozery-Flato, Vadim Ratner, Alex Golts, et al., “MAMMAL - Molecular Aligned Multi-Modal Architecture and Language for biomedical discovery”, npj Drug Discovery, 2026.
• Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon, “An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans”, MICCAI Kidney and Kidney Tumor Segmentation (KiTS) Challenge, 2021. Won 2nd place in the challenge, and KiTS 2021 Best Paper Award.
• Alex Golts and Yoav Y. Schechner, “Image compression optimized for 3D reconstruction by utilizing deep neural networks”, Journal of Visual Communication and Image Representation (JVCI), 2021. Poster presented at the International Conference of Computational Photography (ICCP), 2021.
• Alex Golts and Yoav Y. Schechner, “Cutoff due to pointwise degradations in color images”, Journal of the Optical Society of America - A, 2014.
• Alex Golts and Yoav Y. Schechner, “Spatial frequency response of Bayer color image formation”, Technion CCIT Technical Report 868, 2014.
• Alex Golts and Yochay Danziger, “Spectral optimization of IR EO systems applied to target detection”, 6th International IR Target and Background Modeling & Simulation Workshop (ITBM&S), 2010.
• E. Jerby, A. Golts, Y. Shamir, S. Wonde, J. B. A. Mitchell, J. L. LeGarrec, T. Narayanan, M. Sztucki, D. Ashkenazi, Z. Barkay, and N. Eliaz, “Nanoparticle plasma ejected directly from solid copper by localized microwaves”, Applied Physics Letters, 2009.
• E. Jerby, A. Golts, Y. Shamir, V. Dikhtyar, J. B. A. Mitchell, J. L. LeGarrec, T.Narayanan, M. Sztucki, N. Eliaz, D. Ashkenazi and Z. Barkay, “Fireballs Ejected from Solids and Liquids by Localized Microwaves”, Global Congress on Microwave Energy Applications (GCMEA), 2008.

M.Sc thesis

• Alex Golts, “Resolution Limits due to Pointwise Degradations in Color Imaging”, Technion - Electrical Engineering Department, Israel Institute of Technology, 2015.

Open source

• I am actively contributing to FuseMedML, a flexible DL framework that facilitates research progress, particularly in biomedical applications. - link
• A pytorch implementation of the paper “3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction” by Choy et al. - link
• My python solutions to all Advent Of Code 2019 programming puzzles - link
• A deep learning research docker with some nice features - link