Koushik balasubramanian
I am a Quant in the Multi-Asset Risk Premia group at Loomis, Sayles and my work involves developing systematic investment strategies. I worked at Goldman Sachs before joining Loomis Sayles, where I developed surveillance models using machine learning techniques.
Before joining GS, I worked as a Postdoctoral Research Associate at the C. N. Yang Institute for Theoretical Physics, Stony Brook University. I received my Ph.D. in Theoretical High Energy Physics from Massachusetts Institute of Technology in 2012. I worked on topics related to string theory as a graduate student and postdoctoral researcher. Prior to obtaining my Ph.D., I received my B.Tech. & M.Tech. in Aerospace Engineering from Indian Institute of Technology, Madras in 2007. During my undergraduate years, I worked on topics in hydrodynamics, such as thermoacoustics, shock waves and vortex detection schemes.