Meet the 2021-2022 Accenture Fellows | MIT News

Launched in October 2020, MIT and Accenture’s Convergence Initiative for Industry and Technology highlights ways in which industry and technology come together to drive innovation. The five-year initiative aims to achieve its mission through research, education and scholarship. To this end, Accenture has again awarded five annual scholarships to MIT graduate students working on industry research and technological convergence who are under-represented, including by race, ethnicity and gender.

This year’s Accenture Fellows work in multiple disciplines, including robotics, manufacturing, artificial intelligence, and biomedicine. Their research covers a wide range of topics, including: advancing manufacturing through computer design, with the potential to benefit global vaccine production; design low power robotics for consumer electronics and the aerospace industry; develop robotics and machine learning systems capable of helping the elderly at home; and to create ingestible biomedical devices that can help collect medical data inside a patient’s body.

Applications from students from each unit of the School of Engineering, as well as the other four schools at MIT and MIT Schwarzman College of Computing, were invited as part of the application process. Five outstanding students were selected as fellows in the second year of the initiative.

Xinming (Lily) Liu is a doctoral candidate in Operations Research at MIT Sloan School of Management. His work focuses on behavioral and data-driven operations for social good, integrating human behaviors into traditional optimization models, designing incentives, and analyzing real-world data. His current research focuses on the convergence of social media, digital platforms and agriculture, with particular attention to the expansion of technological equity and economic opportunities in developing countries. Liu received his BS from Cornell University, with a double major in Operations Research and Computer Science.

Caris Moses is a doctoral student in electrical and computer engineering specializing in
artificial intelligence. Moses’ research focuses on using machine learning, optimization, and electromechanical engineering to create robotic systems that are robust, flexible, intelligent, and capable of learning on the job. The technology it is developing holds promise for industries, including flexible manufacturing in small series; robots to help the elderly in their homes; and warehouse management and operation. Moses received his BS in Mechanical Engineering from Cornell University and his MS in Computer Science from Northeastern University.

Sergio Rodriguez Aponte is a doctoral student in biological engineering. He works on the convergence of computer design and manufacturing practices, which have the potential to impact industries such as biopharmaceuticals, food, and wellness / nutrition. His current research aims to develop strategies for applying computational tools, such as multiscale modeling and machine learning, to the design and production of manufacturable and accessible vaccine candidates that may eventually be available globally. Rodriguez Aponte received his BA in Industrial Biotechnology from the University of Puerto Rico in Mayaguez.

Soumya Sudhakar SM ’20 is a doctoral student in aeronautics and astronautics. His work is focused on
co-design of new algorithms and integrated circuits for low energy autonomous robotics that could have new applications in aerospace and consumer electronics. His contributions bring together the emerging robotics industry, the integrated circuit industry, the aerospace industry and the consumer electronics industry. Sudhakar received his BSE in Mechanical and Aerospace Engineering from Princeton University and his Masters in Aeronautics and Astronautics from MIT.

So-Yoon Yang is a doctoral student in electrical and computer engineering. His work on the development of low-power, wireless and ingestible biomedical devices for healthcare lies at the intersection of the fields of medical devices, integrated circuits, artificial intelligence and pharmaceuticals. Currently, the majority of wireless biomedical devices can only provide a limited range of medical data measured from outside the body. Ingestible devices hold promise for the next generation of personal health care because they do not require surgical implantation, may be useful in detecting physiological and pathophysiological signals, and may also work as treatment alternatives when treatment cannot be performed. outside. Yang received her bachelor’s degree in electrical and computer engineering from Seoul National University in South Korea and her master’s degree in electrical engineering from Caltech.

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