54
זכר
גרוש
****
מלאה
מיידית
דוקטורט
עברית
אנגלית
רכב פרטי – רישיון ב'
רכב פרטי
2010 - 2012 Senior Research Associate - UCLA (Enzyme/Drug design)
Developing complex calculation scheme and methodology for enzyme and drug design. Drug design consultation.
2008 - 2010 Research Associate - Duke University (Theoretical &experimental enzyme/biosensor design)
Adding a flexible backbone capability and insertion of a screening scheme into an in-house developed protein design software (C & C++). Computational design and realization of a thermophilic biosensor from DNA synthesis, purification to binding assays.
2002 - 2008 PhD Quantum/Theoretical Chemistry - Hebrew University
(Direct PhD) advisor: Prof. R.B. Gerber
A mixed PhD in the areas of physics (condensed phase) and chemistry. Simulating a femtosecond laser pump-probe spectroscopy system via semiclassical molecular dynamics (MD) simulations. Prediction of novel molecules, materials and their properties via high level electronic structure calculation. Close cooperation with both theoretical and experimental groups for both areas of research. A wide background in physics and chemistry.
1999 - 2002 M.A. Quantum/Theoretical Chemistry - Hebrew University,
Prof. R.B. Gerber
1996-1999 B.Sc. Chemistry - Hebrew University
השכלה
דיפלומה
Academic Research Experience
2013 - Present Senior Research Fellow
2010 - 2012 Senior Research Associate
2008 - 2010 Research Associate
1999 - 2008 Research Assistant
ניסיון תעסוקתי
Positions:
קליני קוונטרום-מייעץ ייעוץ תכנותים איי איי,
חברת סטדרט אפ - אחראי על האלגוריתיקה ועוזר לבנות אותו, חוקר קליני.
2022 – Present Head of CADD, NeoTX Therapeutics LTD
2020 – 2022 VP, Head of CADD, InterX (Israel), Acquired by NeoTX
Managing a group of scientists + hands-on, in addition to other responsibilities: 1. Defined, managed and hands-on hands-on a strategic covalent hit discovery project of the company with an external partner. 2. Algorithms and development for CADD: a) Innovative AI and non-AI based CADD tools: from idea to architecture and implementation. b) Designed and programmed an automated scenario adaptable multi-path covalent and non-covalent robust HTVS. 3. Part time IT (Unix and AWS/Oracle cloud). Programmed cloud automotive job submission infrastructure (replacing Terraform). 4. In charged of the definition and the creation of InterX (Israel) computational (software and hardware) infrastructure. 5. A member of the target evaluation group.
2019 – 2020 Algorithms and Data Science at L1ght
1. Algorithms and machine/deep learning models for handling and detecting toxic content in audio and image/video signals.
2. Innovation and IP
2018 - 2019 Algorithms Developer at Feedvisor
Algorithms and machine/deep learning based algorithms for e-commerce on AWS (using spark and Kafka). Development of multi ML models pipeline using AWS
2017 - 2018 Machine Learning and Computer Vision Algorithms at Cortica
Developing and utilizing deep learning and computer vision algorithms (face recognition group). Developing new concepts also based on fields other than computer science.
2013 - 2017 Senior Algorithms Developer - Evogene
Designing, developing and ongoing support of automated (drug/herbicide/.. design) virtual screening pipeline (>1010 records in 4.5 days, PointHit®) for production. Pipeline Pilot reverse engineering for communication for solving communication bottleneck, increasing efficiency by > 50%. Designing and developing mining tools and machine learning models. All software is programmed using Python, Perl, Pipeline Pilot script, C++ (bottlenecks), R and SQL.
Senior AgChem Scientist & Data Scientist - Evogene
Establishing the computational herbicide design methodology at Evogene. Developed mathematical and machine learning models using R, MATLAB and SciKit- learn for the prediction of herbicides and other chemical and physical attributes.
2012 - Present Senior Research Fellow- Hebrew University
Predicting new materials and their Phys-Chem properties. Close collaboration with experimental groups.
16 publications and over 480 citations to publications.
2001-2002 System Engineer & Programmer - NDS (CISCO)
Integration engineer at the end-to-end lab and application
programmer for Direct-TV
Summary:
A senior quantum/theoretical chemist with applied and theoretical expertise in modeling complex physical, biological and chemical systems. Experienced in parallel algorithms, production code of automated big-data pipelines, machine and deep learning models using python, Perl, C, C++, Fortran95, Bash script, Pipeline Pilot script, SQL, reverse engineering, theoretical and experimental protein (biosensor) design, drug design and high throughput virtual screening (HTVS).
