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Dr. Shula Shazman

Contact Info

The Open University of Israel Department of Mathematics and Computer Science One University Road P.O.B. 808 Ra’anana 4353701, Israel
Office:972-9-778-1219 Email:shulash@openu.ac.il

Areas of Interest
  • Machine learning and deep learning approach to reveal mechanisms of diseases.
  • Intrinsically disordered proteins related with Autism Spectrum Disorder.
  • Improve Type 2 Diabetes parameters by Intermittent Fasting.

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2011 – 2015
Postdoctoral fellow, Department of Biochemistry & Molecular Biophysics, Columbia University, New-York, USA. Supervisor: Prof. Barry Honig.
2005– 2011
M.Sc. + Ph.D. (direct track) in Biological Sciences, Faculty of Biology, the Technion, Israel. Supervisor: Prof. Yael Mandel-Gutfreund. Title of thesis: Computational approaches for characterizing Protein- Nucleic-Acid Binding.
2004 – 2005
Compulsory courses required to complete a B.Sc. in Biological Sciences, Faculty of Biology, the Technion, Israel.
1989 – 1993
B.Sc. in Information Systems Engineering from Faculty of Computer Science, the Technion, Israel.
2010
 Best Poster Award (the Technion, IBS 2010).
2010
Excellence scholarship (‘the Irwin and Joan Jacobs fellowship’, the Technion, 2010)
2009
The Best Scientific Contribution Award (‘Runner-Up Award’, Stockholm, 2009).
2009
 The Katzir Travel Fellowship (2009).
2009
 Excellence scholarship (Faculty of Biology, the Technion, 2009).
2006
ISBCB Best Poster Award (Bar Ilan University, IBS, 2006).

Professional Computer-Science Experience:

2015-2018: Machines Learning adviser for a project at NYU university NY.

1998-2000: Information System Analyst in the Information System Department, Rambam Hospital, Haifa, Israel.

1996-1998: Programmer in the Information System Development Group, Amigar Information Systems, Israel. Developing using Oracle database and with SQL.

1994-1996: Programmer in Software Development Group, "Telrad", Lod, Israel. 

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Speaker. The Israeli Meeting for Autism Research (I-MAR). February 2022 Ben-Gurion University of the Negev. Classifying Autism Spectrum Disorder (ASD) causal genes based on Intrinsic Disordered Regions​

The First International Israel Data Science Initiative  Conference January 2022. Ein-Gedi, Israel. 

Classifying Autism Spectrum Disorder (ASD) causal genes based on Intrinsic Disordered Regions.

 

Selecting Intermittent Fasting Type to Improve Health in Type 2 Diabetes: A Machine Learning Approach.


Global Meeting on Diabetes and Endocrinology.Dubai, UAE. November 2021.Selecting Intermittent Fasting Type to Improve Health in Type 2 Diabetes: A Machine Learning Approach. Keynote speaker

Oral Presentation: Azrieli Workshop, March 3, 2020: Common Mechanisms in Alzheimer's Disease and Type 2 Diabetes. Bar-Ilan University. The Azrieli Faculty of Medicine: A Machine Learning Approach to select the Type of Intermittent Fasting in Order to Improve Health by Effects on Type 2 Diabetes .

2020: Bioinformatics 2020. 11th International Conference on Bioinformatics models, methods and algorithms, 24-26 February 2020, Valletta, Malta. A Machine Learning Approach to select the Type of Intermittent Fasting in Order to Improve Health by Effects on Type 2 Diabetes.

2019 Symposium: Inventions and Innovations: Medicine 2040. November 4-5, 2019. Tel Aviv. Israel: A Machine Learning Approach to select the Type of Intermittent Fasting in Order to Improve Health by Effects on Type 2 Diabetes.

 Oral Presentation: 2019 Hellenic Bioinformatics 11-13 October 2019 • FORTH auditorium • Heraklion-Crete • Greece: A Machine Learning Approach to select the Type of Intermittent Fasting in Order to Improve Health by Effects on Type 2 Diabetes .

2018: Israeli Society for Bioinformatics and Computational Biology, Weizmann Institute, Israel: The embryo as a learning machine: DNA sequence-based rules for anterior-posterior boundary formation in Drosophila.

2017 "Dynamics at Surfaces" Gordon Research Conference, July 30 - August 4, 2017 Salve Regina University Newport, RI.

 Oral Presentation: 2016 July : 3DSIG 2016 Structural Bioinformatics and Computational Biophysics, Orlando, Florida. “Ordering The Disordered Proteins”.

Oral Presentation: 2015:October :  CECAM Workshop: Computational Modeling of Gene Expression and its Evolution, 13-16 October: Tel-Aviv University Israel. “Predicting Protein-DNA Interactions Using Geometric Docking - Can DNA Specificity Improve Results?"

Oral Presentation: 2014 February:  7th FISEB 2014 (ILANIT), Eilat. Israel: "OnTheFly database – structural basis to study TF’s DNA binding specificity”.

2013: Albany 2013, Conversation 18. Albany, NY, USA: "OnTheFly database – structural basis to study TF’s DNA binding specificity". (Poster presentation).

2012: 3DSIG 2012 Structural Bioinformatics and Computational Biophysics, Long Beach, California: "OnTheFly- A Database of Drosophila Melanogaster Transcription Factors (TF) and TF Binding Sites”.

2012: New-York Structural Biology Discussion Group, Manhattan, NY, USA: "OnTheFly- A Database of Drosophila Melanogaster Transcription Factors (TF) and TF Binding Sites (TFBS)". (Poster presentation).

Oral Presentation: 2011 October: CSHL, Long Island NY, USA 2011: "From face to interface recognition: a differential geometry approach to distinguish DNA from RNA binding surfaces". (Oral presentation).

2010: 3DSIG 2010 Structural Bioinformatics and Computational Biophysics, Boston, USA. "Matching Algorithm for coupling Protein-RNA interfaces". (Poster presentation).

2010: Israeli Society for Bioinformatics and Computational Biology, the Technion, Israel. “Matching Algorithm for coupling Protein-RNA interfaces”. (Poster presentation).

 2009: Israeli Society for Bioinformatics and Computational Biology, Weizmann Institute, Israel: “Using a Differential Geometry Approach for Characterizing Biological Relevant Interfaces”. (Poster presentation).

Oral Presentation: 2009 July: 3DSIG: Structural Bioinformatics and Computational Biophysics, Stockholm, Sweden: "Using a Differential Geometry Approach for Characterizing Nucleic Acids Binding Interfaces”.

2008: Pacific Symposium on Biocomputing, Kohala Coast, Hawaii, USA: "Classifying RNA-Binding Proteins Based on Electrostatic Properties". (Poster presentation).

2008: Israeli Society for Bioinformatics and Computational Biology, Tel Aviv University, Israel. "Classifying RNA-Binding Proteins Based on Electrostatic Properties". (Poster presentation).

2007: European Conference of Computational Biology (ECCB), Eilat, Israel. "Predicting RNA-binding function from structure". (Poster presentation).

2006: Israeli Society for Bioinformatics and Computational Biology, Bar-Ilan University, Tel Aviv, Israel: “Predicting RNA-binding function from structure". (Poster presentation).

  1. Shazman S. (2021) Full chapter "SELECTING INTERMITTENT FASTING TYPE TO IMPROVE HEALTH IN TYPE 2 DIABETES: A MACHINE LEARNING APPROACH" published in the book under the working title "Type 2 Diabetes", ISBN 978-1-83881-904-0. https://www.intechopen.com/chapters/74586. ​

Shazman S., Hotovli R. and Selpak A. (2004). Introduction to Operations Research, Tel-Aviv, Israel: The Centre for Educational Technology press, (363 p., in Hebrew).

Shazman S., Mordian N. and Rozner E. (2002). Introduction to Science and Information Technologies - Part A, Tel-Aviv, Israel: The Centre for Educational Technology press, (248 p., in Hebrew).

Shazman S. and Shifroni E. (2000). Object Oriented Programming in JAVA language, Tel-Aviv, Israel: The Open University press. (526 p., in Hebrew).

​Gozes I. and Shazman S. (2022). "Stop codon mutations at sites of natural caspase cleavage are implicated in autism and Alzheimer's disease: the case of ADNP. Frontiers in Endocrinology. doi.org/10.3389/fendo.2022.867442. (Impact factor: 5.6 ; Endocrinology, Diabetes and Metabolism (Q1)).


Shazman S, Lee H, Socol Y, Mann RS, Honig B. (2014) “OnTheFly”: a database of Drosophila melanogaster transcription factors and their binding sites. Nucleic Acids Res 42(1): D167-171. Impact factor: 8.055.

Dror I, Shazman S, Mukherjee S, Zhang Y, Glaser F, Mandel-Gutfreund Y. (2012) Predicting nucleic acid binding interfaces from structural models of proteins. Proteins: Structure, Function, and Bioinformatics 80(2): 482-489. Impact factor: 3.34.

Shazman S, Elber G, Mandel-Gutfreund Y. (2011) From face to interface recognition: a differential geometry approach to distinguish DNA from RNA binding surfaces. Nucleic Acids Res 39(17): 7390-7399. Impact factor: 8.055.

Shazman S, Mandel-Gutfreund Y. (2008) Classifying RNA-binding proteins based on electrostatic properties. PLoS Comput Biol 4(8): e1000146. Impact factor: 4.87.

Shazman S, Celniker G, Haber O, Glaser F, Mandel-Gutfreund Y. (2007) Patch Finder Plus (PFplus): A web server for extracting and displaying positive electrostatic patches on protein surfaces. Nucleic Acids Res 35(Web Server issue): W526-30. Impact factor: 8.055.

Shazman S. "A Machine Learning Approach to select the Type of Intermittent Fasting in Order to Improve Health by Effects on Type 2 Diabetes." BIOINFOTMATICS. Conference: 11th International Conference on Bioinformatics Models, Methods and Algorithms. January 2020. DOI: 10.5220/0008950201310137.

Shazman S. "Classifying Autism Spectrum Disorder (ASD) causal genes based on Intrinsic Disordered Regions". The 24 World Multiconference on Systemic, Cybernetics and Informatics (WMSCI September 2020)
ISBN - Collection: 978-1-950492-36-7
ISBN - Volume I: 978-1-950492-37-4

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Machine learning and deep learning approach to reveal mechanisms of diseases.

Intrinsically disordered proteins related with Autism Spectrum Disorder.

Improve Type 2 Diabetes parameters by Intermittent Fasting.

Open all
  • Department of Mathematics and Computer Science, Open University, Israel. Instructor of the following courses "Data-Mining"; “Artificial Inteligence”; “Computational Biology”, "Introduction to Computer Science in Java language";"Principals of Information Systems' development".
  • Department of Natural Sciences, Open University, Israel. Faculty Academic staff. Instructor of "Bionformatics: Analysis of Sequences and Genomes" course.