Sashank graduated from the University of Illinois in May of 2018 with a Bachelor of Science degree in Aerospace Engineering. He's had the privilege of interning at NASA Langley Research Center, where he was involved with the design and fabrication of prototype Entry, Descent, and Landing (EDL) vehicles and novel control systems. He has since worked with cube satellites and researched original applications of gradient descent based path planning algorithms for spacecraft in small-body proximity operations. He is currently a Data Science Fellow at the NYC Data Science Academy, where he intends on bolstering his technical foundation in machine learning and data analysis with Python and R.
