Skip to content
SciML Logo
  • Home
  • About
  • People
    • Lab Members
    • Alumni
  • Research
    • Projects
    • Past Projects
    • Publications
  • Contact Us
  • Home
  • About
  • People
    • Lab Members
    • Alumni
  • Research
    • Projects
    • Past Projects
    • Publications
  • Contact Us
Read more about the article Tamar Gershoni

Tamar Gershoni

  • Post author:tkleinhendle
  • Post published:September 18, 2024
  • Post category:People
  • Post comments:0 Comments

M.Sc. Student

Continue ReadingTamar Gershoni
Read more about the article Alexander Laskorunsky

Alexander Laskorunsky

  • Post author:eorion2
  • Post published:November 30, 2023
  • Post category:People
  • Post comments:0 Comments

PhD Student

Continue ReadingAlexander Laskorunsky
Read more about the article Dr. David Shulman

Dr. David Shulman

  • Post author:eorion2
  • Post published:November 30, 2023
  • Post category:People
  • Post comments:0 Comments

Post Doctoral Researcher

Continue ReadingDr. David Shulman
Read more about the article Dr. Itai Dattner

Dr. Itai Dattner

  • Post author:eorion2
  • Post published:November 30, 2023
  • Post category:People
  • Post comments:0 Comments

Head of SciML Lab

Continue ReadingDr. Itai Dattner

Recent Posts

  • Khanonkin E., Schechter I., Dattner I. (2025). Compensation for Matrix Effects in High-Dimensional Spectral Data using Standard Addition. Sensors, 25(3), 612. https://doi.org/10.3390/s25030612
  • Rozenkrantz L., Laskorunskyi, O., Zilcha-Mano S., Dattner I. (2025). Expectation-Updating: Understanding the Dynamics of Expectancy in Psychotherapy Outcome. Accepted to Psychotherapy Research.
  • Investigating Verbal and Non-Verbal Synchronization in Preschool Children
  • Robust Optimization and Parameter Estimation in Queueing Networks
  • Highlights from IALP 2025

Recent Comments

  1. A WordPress Commenter on Hello world!

Join Us

Exciting opportunities are available in our research group for candidates interested in Postdoctoral, Doctoral (PhD), and Master’s (MA) positions.
We’re keen to connect with enthusiastic individuals who possess theoretical understanding and practical experience in Mathematics, Statistics, Machine Learning / Artificial Intelligence. If you’re driven to conduct groundbreaking research and contribute to our team, we’d be delighted to hear from you.
For additional details or to express interest, please contact us.

Contact info

Scientific Machine Learning Research Lab
Faculty of Natural Sciences
Department of Statistics
University of Haifa
Abba Khoushy Ave 199, Haifa
Israel, 3498838
Email: sciml@stat.haifa.ac.il

Linkedin