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Amy Greene and Shibani Santurka receive Google PhD Fellowships

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Amy Greene (left) and Shibani Santurka

EECS Staff

Two PhD students in EECS have been awarded Google PhD Fellowships for 2019.

Amy Greene received the 2019 Google Fellowship in Quantum Computing. Shibani Santurka received the 2019 Google Fellowship in Machine Learning.

Google annually awards fellowships to “outstanding graduate student doing exceptional work  computer science and related research areas,” according to the company. Fellowships provide financial support, including tuition, fees, and a stipend for living expenses, travel, and equipment. They also match each recipient with a Google Research Mentor. The two-year fellowships can be extended for a third year.\

Greene received a master’s degree in computer science and electrical engineering in 2016 and a joint bachelor’s degree in computer science and engineering and physics in 2014, both from MIT. Previous awards and honors include a National Science Foundation Quantum Information Science and Engineering Network (QISE-NET) Fellowship and MIT’s Alan L. McWhorter Fellowship for promising PhD students, among others. She is a member of the Eta Kappa Nu (HKN) and Tau Beta Pi (TBP) honor societies.

Santurka received a master’s degree in computer science from MIT in 2017 and a dual bachelor’s and master’s degree in electrical engineering and computer science from the Indian Institute of Technology (ITT) Bombay in 2015. Previous honors include an MIT Health Sciences and Technology Department Fellowship, an Undergraduate Research Award and an Academic Performance Award from ITT Bombay, and the Dhirubhai Ambani Scholarship from the Dhirubhai Ambani Foundation in India.

Now in its 10th year, Google’s program offers fellowships in Africa, Australia, Canada, China, East Asia, Europe, and India as well as in the United States.

Date Posted: 

Monday, April 29, 2019 - 4:00pm

Card Title Color: 

Black

Card Description: 

The EECS graduate students are recognized for their work in quantum computing and machine learning.

Photo: 

Card Wide Image: 


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