Financial Engineering Lab
The Financial Engineering Lab, was established as part of the Technion -IIT Faculty of Management and Research Centers in 2009 and led by Dr. Gal Zahavi. Over the course of a decade, the Lab has collaborated with world renowned researchers, conducted dozens of studies published in the world's best scientific papers and received recognition and awards for its scientific activities.
Dr. Zahavi has educated dozens of undergraduate, graduate and doctoral research students in the fields of financial risk management, insurance and risk hedging, financial engineering and quantitative finance, valuation of derivatives, portfolio management, investments, risk behavior and more. Among the courses tought in the lab are entrepreneurial finance, capital markets and investments, financial risk management, derivative valuation financial engineering and more. For more information - Financial Engineering Lab Technion
Our Vision
After a decade of extensive academic activity the lab has branched out from the Technion, and is now private consultancy firm, focusing on smart economic activities leading to prosperity and financial strength, raising capital and managing financial risks. The Financial Engineering Laboratory team of experts, primarily functions as a center for renewable energy and sustainability investments and energy harvesting evaluation.
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Dr Gal Zahavi
Dr Zahavi holds a PhD Mathematics from the Weizmann Institute of Science. And functions as the leading researcher, owner and funder of the lab, with more then 10 years of experience in research and development as the head of the financial engineering lab in the Israel Institutes of Technology -Technion. Dr Zahavi, has a 20years of experience in the investment banking industry . His area of expertise are in quantitative finance and renewable energy financial engineering.
Quantitative Financial Analyst
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Dr Lee Mondshein
Director of System Integration
Over twenty years' experience in gov’t-sponsored research at MIT Lincoln Lab, Draper Lab, and MITRE Corp. Classified work spanned applications of pattern recognition, probability theory, and optimal estimation, including speech recognition, radar signal analysis, inertial guidance, large-scale data fusion, image processing, and analysis of communication networks.