Our Research

Metagenomics, Machine learning, Molecular microbiology, and Fun!

We aim to better understand key interaction mechanisms within microbial communities and to promote their application in biotechnology and medicine. Specifically, we are interested in discovering novel antibiotic resistance genes, CRISPR-Cas, and bacterial secretion systems.

We study microorganisms in a variety of natural environments, and combine cutting-edge metagenomic techniques with tailored machine-learning and molecular biology methods to predict and experimentally validate the functions of the studied systems.


Publications Highlights

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

Computational modeling and experimental validation of the Legionella and Coxiella virulence-related type-IVB secretion signal
PNAS 2013

Genome-scale identification of Legionella pneumophila effectors using a maching learning approach
PLoS Pathogens 2009


Our Team

Dr. David (Dudu) Burstein

Principal Investigator

Dr. Karin Mittelman

Research Associate

Bruria Samuel

Ph.D. Student

Danielle Miller

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

Adi Yannai

Ph.D. Student

Dan Alon

Ph.D. Student

Yatir Solan

M.Sc. Student

Ella Rannon

M.Sc. Student

Maya Ben Haim

M.Sc. Student

Ofir Arias

Software Specialist

Emilie Mordo

B.Sc. Student

Tal Burshtein

B.Sc. Student

Tomer Parket

Data Analyst


Stay in Touch

Office: +972-3-640-8715
Lab: +972-3-640-7525
Fax: +972-3-642-2046