Shahzad Khan

Advisor at EdgeworthBox

Shahzad Khan is currently an advisor at EdgeworthBox, and has previously worked as the Chief Research Officer at Lytica Inc. from April 2018 to October 2021. At Lytica, Shahzad was responsible for setting research direction, defining the core technologies required for Lytica’s product roadmap, managing the R&D team and fostering university research partnerships. Shahzad's current research focus is on natural language processing, machine learning, high scalability data aggregation and normalization from heterogeneous sources, automated, semantic and structural approaches to parsing of technical documentation, and robust, automated repair of noisy web and client-supplied data.

Lytica enables unprecedented levels of cost reduction for many of the world's leading electronics OEM and EMS companies through their revolutionary Freebenchmarking.com suite of cost benchmarking tools. Lytica’s mission is to make good companies more competitive by providing the most trusted e-component market intelligence around pricing, security of supply and compliance. Lytica is based in Ottawa, Canada.

Shahzad Khan has a PhD in Computer Science from the University of Cambridge, an MSc in Telecommunication and Network Management from Syracuse University, and a BSc in Computer Science from Lahore University of Management Sciences. Shahzad also went to Froebel's International High School.


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