Meet the 2022-23 Accenture Fellows | MIT Information

Launched in October 2020, the MIT and Accenture Convergence Initiative for Business and Know-how underscores the methods wherein trade and know-how can collaborate to spur innovation. The five-year initiative goals to realize its mission via analysis, schooling, and fellowships. To that finish, Accenture has as soon as once more awarded 5 annual fellowships to MIT graduate college students engaged on analysis in trade and know-how convergence who’re underrepresented, together with by race, ethnicity, and gender.

This yr’s Accenture Fellows work throughout analysis areas together with telemonitoring, human-computer interactions, operations analysis,  AI-mediated socialization, and chemical transformations. Their analysis covers a big selection of tasks, together with designing low-power processing {hardware} for telehealth functions; making use of machine studying to streamline and enhance enterprise operations; bettering psychological well being care via synthetic intelligence; and utilizing machine studying to grasp the environmental and well being penalties of advanced chemical reactions.

As a part of the applying course of, scholar nominations have been invited from every unit throughout the Faculty of Engineering, in addition to from the Institute’s 4 different colleges and the MIT Schwarzman Faculty of Computing. 5 distinctive college students have been chosen as fellows for the initiative’s third yr.

Drew Buzzell is a doctoral candidate in electrical engineering and laptop science whose analysis considerations telemonitoring, a fast-growing sphere of telehealth wherein info is collected via internet-of-things (IoT) related gadgets and transmitted to the cloud. At present, the excessive quantity of knowledge concerned in telemonitoring — and the time and power prices of processing it — make information evaluation tough. Buzzell’s work is targeted on edge computing, a brand new computing structure that seeks to handle these challenges by managing information nearer to the supply, in a distributed community of IoT gadgets. Buzzell earned his BS in physics and engineering science and his MS in engineering science from the Pennsylvania State College.

Mengying (Cathy) Fang is a grasp’s scholar within the MIT Faculty of Structure and Planning. Her analysis focuses on augmented actuality and digital actuality platforms. Fang is growing novel sensors and machine elements that mix computation, supplies science, and engineering. Shifting ahead, she is going to discover subjects together with gentle robotics methods that could possibly be built-in with garments and wearable gadgets and haptic suggestions with a purpose to develop interactions with digital objects. Fang earned a BS in mechanical engineering and human-computer interplay from Carnegie Mellon College.

Xiaoyue Gong is a doctoral candidate in operations analysis on the MIT Sloan Faculty of Administration. Her analysis goals to harness the ability of machine studying and information science to scale back inefficiencies within the operation of companies, organizations, and society. With the help of an Accenture Fellowship, Gong seeks to search out options to operational issues by designing reinforcement studying strategies and different machine studying methods to embedded operational issues. Gong earned a BS in honors arithmetic and interactive media arts from New York College.

Ruby Liu is a doctoral candidate within the Medical Engineering and Medical Physics program, a part of the Harvard-MIT Program in Well being Sciences and Know-how. Their analysis addresses the rising pandemic of loneliness amongst older adults, which results in poor well being outcomes and presents significantly excessive dangers for traditionally marginalized individuals, together with members of the LGBTQ+ group and folks of coloration. Liu is designing a community of interconnected AI brokers that foster connections between consumer and agent, providing psychological well being care whereas strengthening and facilitating human-human connections. Liu acquired a BS in biomedical engineering from Johns Hopkins College.

Joules Provenzano is a doctoral candidate in chemical engineering. Their work integrates machine studying and liquid chromatography-high decision mass spectrometry (LC-HRMS) to enhance our understanding of advanced chemical reactions within the surroundings. As an Accenture Fellow, Provenzano will construct upon latest advances in machine studying and LC-HRMS, together with novel algorithms for processing actual, experimental HR-MS information and new approaches in extracting structure-transformation guidelines and kinetics. Their analysis may pace the tempo of discovery within the chemical sciences and advantages industries together with oil and fuel, prescribed drugs, and agriculture. Provenzano earned a BS in chemical engineering and worldwide and international research from the Rochester Institute of Know-how.

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