Sadhana Lolla

I am a fourth-year undergraduate student at MIT majoring in computer science and minoring in mathematics and literature. I am also a Gates Cambridge Scholar-Elect and will spend the next year obtaining an MPhil in Technology Policy at the University of Cambridge.

My research focuses broadly on the application of deep learning to robotics and on designing and deploying uncertainty-aware artificial intelligence. I am currently working on input uncertainty quantification and propagation as an Undergraduate Research Intern at Microsoft Research with Dr. Ava Amini.

For the past two years, I have conducted research at the Distributed Robotics Laboratory with Prof. Daniela Rus and Dr. Alexander Amini, where my projects have ranged from debiasing autonomous vehicles to developing more generalizeable control policies for soft robotics.

Previously, I’ve been fortunate to work at Themis AI on uncertainty quantification in deep learning, Google’s Keras Team on accelerating distributed training, Google’s Discover Ranking Team on recommendation algorithms, and Safar Partners on investing in deep learning startups.

I am also an instructor and lead TA for MIT’s Introduction to Deep Learning Course, one of the most popular deep learning classes in the world. I also serve as the curriculum team lead for Momentum AI.

In my free time, I enjoy baking, reading, and solving crosswords.