Work with thought leaders and academic experts from Hebrew University of Jerusalem

Elee is a postdoctoral associate at the Department of Chemistry and CSAIL at MIT, working on developing complex cell models for drug discovery. Elee has been studying gastrointestinal diseases for the past 10 years, and is interested in stromal and especially extracellular matrix biology. Elee believes that in order to treat human disease, we must look to the microenvironment for therapeutic targets. Elee is also passionate about science communication and views it as an inseparable part of a scientist's role in society. Currently, she serves as the Scientific Director, and regularly writes for, the non-profit organization "Little, Big Science", which is one of Israel's most popular science communication platforms. Previously, Elee was a postdoc at the Wyss Institute at Harvard University, working on organs-on-chips models for Inflammation and Cancer. Elee received her PhD and my MSc from the Weizmann Institute of Science, where she studies the role of the extracellular matrix in inflammatory bowel disease. Prior to that, Elee received my BSc in Biology and Psychology from the Hebrew University of Jerusalem.

I am a versatile mathematician and computer scientist with a passion for interdisciplinary exploration. With extensive experience in academia, including two math postdoctoral positions, I specialize in the intersection of dynamics and number theory. Equipped with proficiency in various mathematical fields and a deep understanding of computer science concepts, I excel in teaching and problem-solving. Furthermore I use my programming skills to craft captivating mathematical animations and visuals. I thrive on translating abstract ideas into practical insights and am eager to contribute my expertise to innovative projects.

Unique and passionate physicist with over 30 years experience in predicting the outcome of complex systems. Leading developer for a framework to predict the scaling of hysteresis, laser absorption by the retina, and the 3D structure of proteins. Responsible for implementing the bi-modal distribution of the protein dihedrals into protein structure prediction tools. Was among the first to introduce ML into 3D protein prediction. Over 15 years experience in ML and AI. A pioneer of this approach in bioinformatics.

**MOSHE PROFESSIONAL SUMMARY:** * **Expertise in Molecular and Biochemistry:** Seasoned Scientist with strong biotech industry experience, specializing in fermentation, strain development, protein engineering, and synthesis. Proficient in cell culture management, Next Generation Sequencing (NGS), CRISPR gene editing, quantitative PCR (qPCR), and advanced analytical techniques including HPLC and flow cytometry. * **Biotech Industry and Leadership:** Demonstrated leadership in guiding cross-functional R&D and pre-clinical teams towards achieving project milestones. Experienced in innovation, project management, assay development, compiling Standard Operating Procedures (SOPs), ensuring compliance with Good Laboratory Practices (GLP), and familiarity with cGMP quality systems. * **Analytical and Programming Skills:** Strong analytical skills with a proven track record of using Python and MATLAB for data analysis, supported by a solid foundation in Linux and SQL. Competent in Microsoft Office Suite. * **Communication and Soft Skills:** Excellent time management, attention to detail, critical thinking, and strong communication skills, coupled with emotional intelligence, enhancing team collaboration and project success. * **Research Excellence:** Secured a non-diluted NIH SBIR grant and an EMBO fellowship. Published 11 articles in prestigious journals, including Cell and ACS Synthetic Biology. Contributed to 2 patents, showcasing a significant contribution to scientific knowledge and innovation.