Omer Shubi

Omer Shubi

PhD Candidate Data Science

Technion - Israel Insitute of Technology

About Me

I am a PhD candidate in Data Science at the Technion, working under the supervision of Yevgeni Berzak at the Language, Computation and Cognition (LaCC) Lab. My research aims to decoding our cognitive state in language comprehension, with a focus on utilizing eye movements in reading, and neural activity while listening.

Interests
  • Artificial Intelligence
  • Computational Linguistics
  • Cognitive Science
Education

  • PhD Candidate in Data Science, 2023 - Present

    Technion - Israel Institute of Technology

  • Master as part of a direct-track to PhD in Data Science, 2021 - 2023

    Technion - Israel Institute of Technology

  • BSc in Data Science & Engineering, 2017 - 2021

    Technion - Israel Institute of Technology

Experience

 
 
 
 
 
Teaching
Faculty of Data & Decision Sciences, Technion
October 2021 – September 2023
  • Head Teaching Assistant for Language, Computation & Cognition (Joint course; Spring 2024, Spring 2023 and Spring 2022).
  • Teaching Assistant for Database Management (Undergraduate course; Winter 2023 and Winter 2022).
  • Mentoring undergrad final project (Spring 2023).
 
 
 
 
 
Hybrid Imaging Lab, Electrical and Computer Engineering Faculty, Technion
Research Assistant
Hybrid Imaging Lab, Electrical and Computer Engineering Faculty, Technion
September 2019 – September 2021

  • Active part in CloudCT, a 3D optical scattering tomography space mission to probe clouds.

  • Collaborated on developing an atmospheric lidar simulator & deep-learning-based calibration method.

 
 
 
 
 
Watteam (Start-Up Company)
Multiple Roles
Watteam (Start-Up Company)
March 2015 – November 2018

  • Head of Business Development, China.

  • Customer Satisfaction Manager.

  • Project & Lab Manager.

Recent & Upcoming Talks

Eye Movements and Neural Traces of Ordinary and Information-Seeking Language Comprehension
Jul 6, 2023 Dept. of Brain and Cognitive Sciences, MIT
Eye Movements and Reading Comprehension in Ordinary versus Information-Seeking Reading
An invited talk at the 2023 Workshop on Predicting Reading Comprehension from Eye Movements, discussing the latest advancements in the field.
Jun 23, 2023 University of Zurich
Eye Movements and Reading Comprehension in Ordinary versus Information-Seeking Reading
Eye Movements in Information-Seeking Reading
Short Talk at the 2023 Annual Conference on Human Sentence Processing (HSP), on the topic of eye movements in information-seeking reading.
Mar 11, 2023 Virtual
PDF

Recent Publications

Quickly discover relevant content by filtering publications.
Fine-Grained Prediction of Reading Comprehension from Eye Movements
This study investigates the challenge of predicting individual reading comprehension on a single passage level from eye movements using large-scale eyetracking data.
Omer Shubi, Yoav Meiri, Cfir Avraham Hadar, Yevgeni Berzak
Cite
Eye Movements in Information-Seeking Reading
In this work, we use question answering as a general framework for studying how eye movements in reading reflect the reader’s goals, how they are pursued, and the extent to which they are achieved.
Omer Shubi, Yevgeni Berzak
Cite
Eye Movements in Information-Seeking Reading
ALiDAn: Spatiotemporal and Multiwavelength Atmospheric Lidar Data Augmentation
Methods based on statistical learning have become prevalent in various signal processing disciplines and have recently gained traction …
Adi Vainiger, Omer Shubi, Yoav Y Schechner, Zhenping Yin, Holger Baars, Birgit Heese, Dietrich Althausen
Cite DOI
ALiDAn: Spatiotemporal and Multiwavelength Atmospheric Lidar Data Augmentation
Settings for Spaceborne 3-D Scattering Tomography of Liquid-Phase Clouds by the CloudCT Mission
We introduce a comprehensive method for space-borne 3-D volumetric scattering-tomography of cloud microphysics, developed for the …
Masada Tzabari, Vadim Holodovsky, Omer Shubi, Eshkol Eytan, Ilan Koren, Yoav Y Schechner
PDF Cite DOI
Settings for Spaceborne 3-D Scattering Tomography of Liquid-Phase Clouds by the CloudCT Mission
Supervised learning calibration of an atmospheric LiDAR
Calibration of an atmospheric lidar is often required due to variations in the electro-optical system. Rayleigh fitting commonly …
Adi Vainiger, Omer Shubi, Yoav Y Schechner, Yin Zhenping, Holger Baars, Birgit Heese, Dietrich Althausen
PDF Cite DOI
CloudCT 3D volumetric tomography-mission advances
Significant climate uncertainties are associated with insufficient understanding of small warm clouds, due to the nature of their 3D …
Masada Tzabari, Vadim Holodovsky, Omer Shubi, Eshkol Eitan, Orit Altaratz, Ilan Koren, Anna Aumann, Klaus Schilling, Yoav Schechner
Cite DOI
CloudCT 3D volumetric tomography: considerations for imager preference, comparing visible light, short-wave infrared, and polarized imagers
The CloudCT project is a mission that aims to demonstrate 3D volumetric scattering tomography of clouds. A formation of ten …
Masada Tzabari, Vadim Holodovsky, Omer Shubi, Eshkol Eytan, Orit Altaratz, Ilan Koren, Anna Aumann, Klaus Schilling, Yoav Y Schechner
PDF Cite DOI
CloudCT 3D volumetric tomography: considerations for imager preference, comparing visible light, short-wave infrared, and polarized imagers

Contact

Contact me at:

  • <last_name>(at)campus.technion.ac.il