I am a graduate student at the Electrical Engineering and Computer Science department at MIT.
I am broadly interested in the mathematical aspects of real world problems - mainly signal processing, statistical inference and machine learning. My current research is focused on the signal processing and statistical inference aspects of far field imaging devices.
In the past I have worked for over five years as an electronics engineer - I have an extensive experience in electronic system and board design as well as low-level circuit design. I have spent two years as an RF engineer.
For my masters I have developed an efficient algorithm for estimation and mitigation of non-linear interference in optical fiber links, and I have spent a summer developing efficient inversion algorithms for NMR applications as a research intern for Schlumberger.
Intern @ Schlumberger-Doll Research, Cambridge. Developed an efficient inversion algorithm for Nuclear Magnetic Resonance (NMR) applications. From June 2014 to August 2014 (3 months) Teaching Assistant @ Inference and Information (Recitations) From January 2014 to May 2014 (5 months) Teaching Assistant @ Complex Functions (Recitations) Signals and Systems (Recitations) Outstanding TA award, EE dept., Technion (2012) From 2011 to 2012 (1 year) R&D Engineer @ Distinguished Officer award (2009) Discharge Rank: Captain From 2006 to 2011 (5 years) IsraelTeaching Assistant @ Physics 2M (Recitations) Physics Lab 1 (Lab Instructor) Physics Lab 2 (Lab Instructor) From 2005 to 2006 (1 year)
Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science @ Massachusetts Institute of Technology From 2013 to 2017 Master of Science (M.Sc.), Electrical and Electronics Engineering, Summa Cum Laude @ Technion - Israel Institute of Technology From 2008 to 2012 B.Sc,B.A., Electrical Engineering, , Physics, Summa Cum Laude (1st in class) @ Technion - Israel Institute of Technology From 2002 to 2006 Gal Shulkind is skilled in: Matlab, R&D, Physics, Algorithms, Signal Processing, Laboratory, Electrical Engineering, Embedded Systems, Systems Engineering, RF, Research, Simulations, System Architecture