Our Research

Metagenomics, Machine learning, Molecular microbiology, and Fun!

We strive to better understand key interaction mechanisms within microbial communities and to promote their application in biotechnology and medicine. By combining state-of-the-art machine learning, molecular biology, and metagenomic techniques, we decipher functions in the nexus of microbial interactions, such as CRISPR-Cas, anti-CRISPRs, antibiotic resistance genes, and bacterial secretion systems.

If you're interested to learn about “reading” microbial genomes using language models, the experiments we conducted in the international space station, or how plasmids protect themselves against systems such as CRISPR-Cas, we invite you to read about our research projects here.


Publications Highlights

A diverse repertoire of anti-defense systems is encoded in the leading region of plasmids
bioRxiv 2023

Deciphering microbial gene function using natural language processing
Nature Communications 2022

Programmed DNA destruction by miniature CRISPR-Cas14 enzymes
Science 2018

New CRISPR–Cas systems from uncultivated microbes
Nature 2017

Major bacterial lineages are essentially devoid of CRISPR-Cas viral defence systems
Nature Communications 2016

Genomic analysis of 38 Legionella species identifies large and diverse effector repertoires
Nature Genetics 2016


Our Team

David (Dudu) Burstein

Principal Investigator

Karin Mittelman

Research Associate

Bruria Samuel

Ph.D. Student

Danielle Miller

Ph.D. Student
(joint with Prof. Adi Stern)

Adi Yannai

Ph.D. Student

Shirley Croitoru

Ph.D. Student

Guy Shur

Ph.D. Student

Yatir Solan

M.Sc. Student

Ella Rannon

M.Sc. Student

Maya Ben Haim

M.Sc. Student

Edan Gabay

M.Sc. Student

Ofir Arias

Software Specialist

Tomer Parket

Data Analyst

Emilie Mordo

B.Sc. Project Student

Eden Spigelman

B.Sc. Project Student


Stay in Touch

Green building, room 239
Office: +972-3-640-8715
Lab: +972-3-640-7525
Fax: +972-3-642-2046