Group members


Zohar

 

Dr. Zohar Yakhini

zohar.yakhini@gmail.com
Technion:
Room: Taub 524
Tel: +972 4 829 4937

IDC:
Room: Arazi C121
Tel: +972 9 952 7941

 
link to gallery
Dr. Shay Ben-Elazar, Research Associate

 

shaybenelazar@hotmail.com

During my PhD (graduated 2020) I have focused on understanding how to utilize Chromosome Conformation Capture techniques (3C and derivatives, such as Hi-C) to enable the 3-dimensional exploration of genomes.

Currently supporting exciting machine learning and computational biology projects in the group.

Leon Anavy, PhD Student, Technion

 

anavy@technion.ac.il

I am a PhD student at the Computer Science Department at the Technion. I received my B.Sc. degrees in industrial engineering  and information systems management, and my M.Sc. degree in biology from the Technion, in 2012 and 2015, respectively. I joined the computer science department for my PhD studies in 2015. My research interests include information and coding theory applications to synthetic biology. Specifically, I work on coding aspects of DNA based digital information storage systems.

Alona Levy-Jurgenson, PhD Student, Technion

 

levy.alona@gmail.com

My PhD is focused on developing deep learning models to drive the analysis and interpretation of data derived from genomic measurements, pathology whole-slide images, clinical records and DNA sequences. Currently, my main goal is to combine data from several resources and molecular levels to provide better tumor profiling and identification of tumor sub-populations that may be resistant to drugs, especially in breast and ovarian cancer.

Ben Galili, PhD Student, Technion

 

benga9@gmail.com

Starting my research work in ML and Bioinformatics. Currently working on effective feature selection for gene expression signatures and on developing methods for analyzing digital pathology images.

Hadas Biran, PhD Student, Technion (joint with Prof. Yael Mandel-Gutfreund)

 

hadas.moriah@gmail.com

I aim to focus my PhD research on improving statistics and machine learning based methods for single cell RNA sequencing data analysis, and on developing techniques designed to use this data to provide new biological insights.

 
Ido Amit , MSc Student, IDC

 

Developing machine learning methods and software to assess CRISPR off target activity from experimental data.

 

Alon Oring , MSc Student, IDC. Joint with Prof. Yaakov Hel-Or.

alon.oring@post.idc.ac.il

Researching theoretical aspects of neural networks for improved data interpolation.

Roy Shafir, MSc Student, Technion.

 

Information aspects of DNA sequence analysis.

Sharon Sultan, MSc Student, IDC

sultansha (at) gmail.com

Analysis of gene co-expression and differential co-expression. Including the use of DL to predict potential co-expression from relevant nucleic acid sequences.

Inbal Preuss, MSc Student, IDC.

inbalpreuss@gmail.com

 

Working on synthetic biology projects including studying aspects of different coding schemes for data storage in DNA.

Anat Samohi, MSc student, IDC

anatsamohi@gmail.com


Together with Dr. Adi Akavia from University of Haifa,  I am working on developing secure protocols for machine learning and statistical tasks. I am also investigating aspects related to labelling errors and how they can affect statistical tests

 
 
Abigail Beck (ChiHong Choi), BSc Project Student, IDC.

 

whochihong@gmail.com

Investigating the relationship between protein expression and transcriptomics data. In particular – quantifying and characterizing the gap in the observed correlations between the expression levels of proteins and the expression levels of genes that code them.

Guy Gozlan, MSc student, IDC

Developing algorithmic and statistical methods to support the measurement and characterization of CRISPR-Cas9 on and off target events.

Shay Adadi, MSc student, IDC

Developing algorithmic and statistical methods to support the measurement and characterization of CRISPR-Cas9 on and off target events.

Noam Weinfeld, BSc Project Student, IDC.

Developing a tool to analyze the stability of logrank statistics, under labeling errors. Working with Ben Galili.

Ilai Genish, BSc Project Student, IDC.

Working on developing methods for analyzing proteomics and gene expression data. Collaborating with Alex Golberg’s Lab at TAU (link) on developing e-biopsy technology.

Natalie Iram, Research Support Associate.

Natalie has an MSc in biochemistry from Tel aviv University (YEAR 2007). Supporting research and grant management processes in the group. Also working with Prof Elette Boyle (FACT Link) and Prof Gil Kalai, at IDC.

 

Former Group Members:

  1. Ido Amit , MSc 2020, IDC – Accurate estimation of genome editing off-target activity.
  2. Shay Ben-Elazar, PhD 2020, TAU (joint with Prof. Benny Chor) – Statistical and Computational Methods for Studying Genomic Spatial Structure and Properties. Thesis.
  3. Idan David, BSc Project Student, IDC, 2020 – Statistical method to detect port scanning in corporate networks
  4. Gal Novich , MSc Student, Technion. In Prof. Roy Kishony’s Lab, 2019 – Linkage inference methods for phylogenetic relationships.
  5. Yoav Orlev, MSc Student, IDC, 2019 – SOLQC – a software tool to support quality analysis of oligonucleotide libraries (synthetic DNA). GANs in the context of synthetic DNA design. Currently at Explorium.
  6. Gon Chalamish, BSc Project Student, IDC, 2018 – Deep generative adversarial networks on genetic sequence data.
  7. Yoni Peleg, BSc Project Student, TAU (Joint with Dr. Alexander Golberg), 2017-2018 – Optimization of sugar quantification by near infrared spectra.
  8. Dr. Oz Solomon, Postdoctoral fellow, Technion and IDC, 2015-2018 – Bacterial gene expression regulation using bacterial genomics analysis and RNA structural analysis. Currently at Ayala Pharma.
  9. Ayala Polikovsky, Research Assistant, IDC, 2017-2018 – miRNA normalization. Currently an MSc student at TAU.
  10. Edward Vitkin, PhD 2018 – Metabolic modeling and its applications for Synthetic Biology and Biotechnology. Thesis. Currently at IBM Haifa.
  11. Dalia Alperovich, MSc 2017 – Efficient Search for Optimally Enriched Combination of Ranked Lists. Thesis. Currently at Microsoft.
  12. Nir Levin, BSc Project Student, IDC, 2016-2017 – Joint analysis of transcriptomic and proteomic data.
  13. Israel Steinfeld, PhD 2013 – Assay design and data analysis in studies combining multiple high throughput measurement technologies. Thesis. Currently at Agilent Laboratories.
  14. Limor Leibovich, PhD 2013 – Statistical enrichment in ranked lists. Thesis. Currently at Google.
  15. Yaara David, MSc 2011- Analysis of time of replication data; Joint with Prof Yonina Eldar, Technion. Thesis. Currently at BrightWay Vision.
  16. Roy Navon, MSc 2010 – Rank based statistics in analyzing high-throughput genomic data; Joint with Prof Benny Chor, TAU. Thesis. Currently at MeMed Diagnostics.
  17. Eran Eden, MSc 2007. Discovering Motifs in Ranked Lists of DNA Sequences. Thesis. Currently at MeMed Diagnostics.
  18. Doron Lipson, PhD 2007 – Computational Aspects of DNA Copy Number Measurement. Thesis. Currently at Foundation Medicine.
    also completed his MSc studies at 2002 – Optimization Problems in Design of Oligonucleotides for Hybridization-based Methods; Joint with Prof Uri Sivan. Thesis.
  19. Chaya Ben-Zaken Zilberstein, PhD 2006 – Spotting Regulatory Elements by Micro-Arrays. Thesis.
  20. Ari Frank, MSc 2002 – Feature selection in gene expression data; Joint with Prof Dan Geiger, Technion. Currently at Facense.